From d2485f0e988fec92a0c4ede59df8f6ff055ed5c0 Mon Sep 17 00:00:00 2001 From: Jeffrey Schmidt Date: Fri, 25 Sep 2020 15:45:17 -0500 Subject: [PATCH] updates --- ChangeLog.txt | 4 +- dev/Todo.txt | 4 - docs/alert_suspensions.png | Bin 23495 -> 31759 bytes docs/manual.pdf | Bin 1490521 -> 1050659 bytes src/main/webapp/docs/Manual.htm | 36461 ++++++++-------- .../docs/Manual_files/colorschememapping.xml | 2 +- .../webapp/docs/Manual_files/filelist.xml | 22 +- .../webapp/docs/Manual_files/image002.png | Bin 82599 -> 82442 bytes .../webapp/docs/Manual_files/image004.jpg | Bin 13482 -> 13264 bytes .../webapp/docs/Manual_files/props011.xml | 4 +- 10 files changed, 18223 insertions(+), 18274 deletions(-) diff --git a/ChangeLog.txt b/ChangeLog.txt index 5c19f609..0f6d7f29 100644 --- a/ChangeLog.txt +++ b/ChangeLog.txt @@ -1,4 +1,4 @@ -StatsAgg 1.5 - released 2018-xx-xx +StatsAgg 1.5 - released 2020-xx-xx * New feature : A json-based API for programatically interacting with StatsAgg * New feature -- 'metric suspensions'. With a 'metric suspension', you can write a regular-expression that will match metric-keys & prevent them from being considered for alerting. * New feature -- 'Alerts Report'. A page in the WebUI that shows all the important details of an alert on in a table view. @@ -7,7 +7,7 @@ StatsAgg 1.5 - released 2018-xx-xx * Renamed 'Alert Suspensions' to 'Suspensions'. This was done to accomidate the 'metric suspension' feature. * Changed several pages in the WebUI to load via on-page iframes (instead of transitioning different page). This improves the flow of the UI, as it significantly reduces the need use the browser back/forward buttons. * Performance enhancements - * Support for Java9 & Java10 as runtimes. StatsAgg maintains support for (and is compiled with) Java8. + * Support for Java9+ as runtimes. StatsAgg maintains support for (and is compiled with) Java8. * The 'Home' page now outputs the number of metric datapoints that are residing in StatsAgg's memory. * Email alerts now include tags * Support for single-metric OpenTSDB metrics via the HTTP API diff --git a/dev/Todo.txt b/dev/Todo.txt index 1b39f0fe..5feb15cc 100644 --- a/dev/Todo.txt +++ b/dev/Todo.txt @@ -1,7 +1,3 @@ -StatsAgg 1.5 - * Update screenshots of 'suspensions' - * Document MG API 'include_metric_associations' - StatsAgg 1.6 * Divorce from Tomcat. 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Table of Contents

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1       Overview

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1.1         Core -Features

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1.2         Why -use StatsAgg?

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1.3         What -isn’t StatsAgg?

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2       Installation

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2.1         System -requirements

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2.2         Windows -installation

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2.3         Linux -installation

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2.4         Tomcat -configuration

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2.5         StatsAgg -configuration

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2.5.1          StatsAgg -application configuration

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2.5.2          StatsAgg -database configuration

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2.5.2.1      Apache Derby Embedded

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2.5.2.2      MySQL

- -

2.5.2.3      Apache Derby vs MySQL

- -

2.5.3          StatsAgg -WebUI security configuration (optional)

- -

2.6         Updating/upgrading

- -

2.7         Configuring -for High Availability

- -

3       Metric -inputs/outputs

- -

3.1         Terminology

- -

3.2         Graphite -metrics

- -

3.2.1          Overview

- -

3.2.2          Metric -format

- -

3.2.3          ‘Passthrough’ -metrics

- -

3.2.4          ‘Aggregated’ -metrics

- -

3.3         StatsD -metrics

- -

3.3.1          Overview

- -

3.3.2          Metric -format

- -

3.3.2.1      Counters

- -

3.3.2.2      Sampling-based counters

- -

3.3.2.3      Gauges

- -

3.3.2.4      Timers

- -

3.3.2.5      Sets

- -

3.3.3          StatsD -legacy namespacing

- -

3.3.4          Other -differences between StatsD & StatsAgg

- -

3.3.5          Sample -StatsAgg configuration file compared to a StatsD configuration file

- -

3.4         OpenTSDB

- -

3.4.1          Metric -Format

- -

3.4.2          How -StatsAgg represents OpenTSDB metrics in the WebUI

- -

3.5         InfluxDB

- -

3.5.1          Metric -Format

- -

3.5.2          How -StatsAgg represents InfluxDB metrics in the WebUI

- -

3.6         Outputs -Modules

- -

3.6.1          Graphite

- -

3.6.2          OpenTSDB

- -

3.6.3          InfluxDB -0.6x – 0.8x

- -

4       Alerting

- -

4.1         Alerting -overview

- -

4.2         How -does alerting work?

- -

4.3         What -happens to triggered alerts when StatsAgg is restarted?

- -

4.4         Notes

- -

5       Administrative -Website User Interface

- -

5.1         Normal -‘path’ through the website

- -

5.2         Common -UI components

- -

5.3         Metric -Groups

- -

5.3.1          Metric -Groups table

- -

5.3.2          Create -Metric Group

- -

5.4         Notification -Groups

- -

5.4.1          Notification -Groups table

- -

5.4.2          Create -Notification Group

- -

5.5         Alerts

- -

5.5.1          Alerts -table

- -

5.5.2          Create -Alert

- -

5.6         Suspensions

- -

5.6.1          Suspensions -table

- -

5.6.2          Create -Suspension

- -

5.7         Regex -Tester

- -

5.8         Metric -Alert Associations

- -

5.9         Forget -Metric(s)

- -

5.10      Output -Blacklist

- -

5.11      Metric -Benchmark

- -

5.12      Alerts -Report

- -

5.13      Health -Check

- -

6       The -Json API

- -

6.1         /api/alert-create

- -

6.2         /api/alert-details

- -

6.3         /api/alert-enable

- -

6.4         /api/alert-remove

- -

6.5         /api/alerts-list

- -

6.6         /api/suspension-create

- -

6.7         /api/suspension-details

- -

6.8         /api/suspension-enable

- -

6.9         /api/suspension-remove

- -

6.10      /api/suspensions-list

- -

6.11      /api/metric-group-create

- -

6.12      /api/metric-group-details

- -

6.13      /api/metric-group-remove

- -

6.14      /api/metric-groups-list

- -

6.15      /api/notification-group-create

- -

6.16      /api/notification-group-details

- -

6.17      /api/notification-group-remove

- -

6.18      /api/notification-groups-list

- -

7       HTTP -POST Tips & recommended usage patterns.

- -

7.1         Memory -optimization

- -

7.2         TCP -vs UDP

- -

7.3         JRE/JDK -Version

- -

7.4         Recommended -JVM options

- -

8       Frequently -asked questions

- -

9       Troubleshooting

- -

10          Known -bugs/limitations/etc

- -

11          About -StatsAgg

- -

12          License

- -

13          Credits

- -

 

- -

 

- -

1    Overview

- -

StatsAgg is a metric aggregation and alerting platform. -It currently accepts Graphite-formatted metrics, OpenTSDB-formatted metrics, -InfluxDB-formatted metrics (0.6x-0.8x format), and StatsD-formatted metrics.

- -

 

- -

StatsAgg works by receiving Graphite, StatsD, OpenTSDB, -and InfluxDB metrics, (optionally) aggregating them, alerting on them, and -outputting them to a metric storage platform. In essence, StatsAgg is a -middle-man that sits between the metric sender & the metric storage -applications. The ‘value add’ is metric aggregation (Graphite & StatsD), -and a common alerting platform for all supported metric types. The diagram (see -below diagram) shows an example deployment & use-case pattern for StatsAgg.

- -

 

- -

- -

 

- -

1.1       -Core Features

- -

·         -Receives and aggregates StatsD metrics

- -

a.       StatsAgg -contains a complete re-implementation of StatsD

- -

b.       All -metric-types are fully supported (and in some cases, enhanced)

- -

c.       TCP -& UDP support (both can run concurrently)

- -

·         -Receives (and optionally, aggregates) Graphite metrics

- -

a.       TCP -& UDP support (both can run concurrently).

- -

b.       Can -aggregates into minimum, average, maximum, median, count, rate, and sum for the -values of an individual metric-path (during an 'aggregation window').

- -

c.       Aggregation -works similarly to StatsD timer aggregation, but for Graphite metrics.

- -

·         -Receives OpenTSDB metrics

- -

a.       Telnet -& HTTP interfaces are supported

- -

b.       Supports -GZIP compression on HTTP interface

- -

·         -Outputs metrics to metric storage platforms

- -

a.       Graphite -(and Graphite compatible services)

- -

b.       OpenTSDB -(via telnet & HTTP)

- -

c.       InfluxDB -(versions 0.6x, 0.7x, 0.8x -- support for 0.9x will come in a future release)

- -

d.       Outputting -to a storage engine is completely optional; you can send metrics into StatsAgg -without having them forwarded to a metric storage solution. This also means -that if you’re having issues with your metric storage solution, StatsAgg will -still be available & capable of alerting off the metrics that it receives.

- -

·         -A robust alerting mechanism

- -

a.       Can -alert off of any received/aggregated metric

- -

b.       Regular-expression -based mechanism for tying metrics & alerts together

- -

c.       'threshold' -or 'availability' based alerting

- -

d.       A -flexible alert & metric suspension mechanism

- -

e.       Alerts -notifications can be sent via email or viewed in the StatsAgg website

- -

·         -A web-based user-interface for managing alerts -& metrics

- -

 

- -

1.2       -Why use StatsAgg?

- -

StatsAgg was originally written to fill some gaps that in -some other popular open-source monitoring tools. Specifically...

- -

·         -Graphite, StatsD, OpenTSDB, and InfluxDB do not -have native alerting mechanisms

- -

a.       Most -alerting solutions for StatsD, Graphite, OpenTSDB, and/or InfluxDB metrics are -provided by (expensive) SaaS venders.

- -

b.       The -alerting mechanism in StatsAgg compares favorably to many pay-based solutions.

- -

·         -StatsAgg can act as a sort of ‘metric -transcoder’ between various technologies.

- -

a.       It -allows any combination of input metrics StatsD, Graphite, InfluxDB (0.8x), and -OpenTSDB metrics to be output to OpenTSDB, Graphite, InfluxDB (0.8x), etc.

- -

b.       Support -for more input & output formats will increase as StatsAgg evolves.

- -

·         -StatsAgg provides an alternative way of managing -servers/services/etc compared to tools like Nagios, Zabbix, etc

- -

a.       StatsAgg -allows you to break away from viewing everything from the perspective of -servers/hosts. You could structure your metrics to group everything by host, -but you aren't required to.

- -

b.       Generally -speaking, tools like Nagios, Zabbix, etc lack the ability to alert off of -free-form metrics. Since StatsAgg uses regular-expressions to tie metrics to -alerts, you can just as easily alert off of a 'free-form metric hierarchy' as -you can a 'highly structured metric hierarchy'.

- -

c.       Tools -like Nagios, Zabbix, etc aren't built around having fine data point granularity -(more frequent than once per minute). StatsAgg was written to be able to -receive, aggregate, alert on, and output metrics that are sent at any interval.

- -

·         -StatsD limitations

- -

a.       StatsD -doesn't allow the TCP server & the UDP server to be active at the same -time. StatsAgg does.

- -

b.       StatsD -doesn’t persist Gauge metrics, so a restart will result of StatsD ‘forgetting’ -what the previous Gauge metric values were. StatsAgg can be used to persist -Gauge values, so a StatsAgg restart won't result in Gauges resetting -themselves.

- -

·         -StatsAgg provides a web-based UI for managing -alerts & metrics.

- -

·         -Performance

- -

a.       StatsAgg -is Java-based, and has been thoroughly tuned for performance.

- -

b.       A -server with 2 cpu cores & 4 gigabytes of RAM should have no trouble -processing thousands of metrics per second.

- -

 

- -

1.3       -What isn’t -StatsAgg?

- -

StatsAgg aims only to fill a gap in open-source -monitoring tool stack. The biggest void that it is filling is answering the -question of "how can we alert off of all these metrics that we’re -collecting".

- -

 

- -

StatsAgg is not, and likely never will be, a solution -for:

- -

·         -Metrics dashboarding. There are many great tools -on the market that accomplish this. For example, Grafana.

- -

·         -Metric storage. OpenTSDB, Graphite, InfluxDB, -etc all are specifically made for metric storage, whereas StatsAgg is mainly -meant to function as a metric ‘pass-through’.

- -

 

- -

2    -Installation

- -

Note: The -installation/deployment process for StatsAgg is somewhat complex (compared to -StatsD). A simpler/streamlined installer for StatsAgg is planned for a future -release.

- -

2.1       System -requirements

- -

·         -Java 1.8+ JRE is required

- -

§  Discussed -this in more detail here.

- -

·         -Tomcat 8.5+

- -

§  Other -versions of Tomcat may work, but are untested. -Likewise, other application servers may work (Weblogic, JBoss, etc), but are -untested.

- -

§  Typically it’s best to use the latest version of Tomcat

- -

·         -1 CPU core for smaller StatsAgg servers. 4 CPU -cores (or more) for heavy-use StatsAgg servers.

- -

·         -3GB RAM for smaller StatsAgg servers. 16GB of -RAM (or more) for larger StatsAgg servers.

- -

·         -1.2GB hard drive space. The main StatsAgg deployment -(along with Tomcat) will take less than 100MB, but StatsAgg is configured to -retain up to 1.1GB of log file data.

- -

·         -Any OS capable of running Oracle Java 1.8 & -Tomcat 8.5.
-
-

- -

2.2       Windows -installation

- -

1.       Install -Java 1.8+ JRE

- -

·         -Discussed this in more detail here.

- -

2.       Install -the latest version of Apache Tomcat using the MSI installer. The following -non-default configuration settings are recommended:

- -

·         -Check: Install the APR based native .dll -(recommended, not required)

- -

·         -Check: Service Startup (recommended, not -required)

- -

·         -Set: HTTP/1.1 connector port = 80 (recommended, -not required)

- -

3.       (Optional, -Recommended) Add these ‘Java options’ to Tomcat through the Tomcat -configuration application.

- -

·         -More on this here.

- -

·         -Xmx (max heap size) a very important setting -& is discussed in more detail here. -Xmx2560m -is merely a suggestion.

- -

·         -Remote JMX options can be added to allow tools -like VisualVM to connect. If you don’t intend on using tools like VisualVM, -then don’t set the jmxremote options.

- -

-Xmx2560m

- -

-XX:+UseG1GC

- -

-XX:MaxGCPauseMillis=5000
--Dcom.sun.management.jmxremote=true

- -

-Dcom.sun.management.jmxremote.port=20000

- -

-Dcom.sun.management.jmxremote.ssl=false

- -

-Dcom.sun.management.jmxremote.authenticate=false

- -

 

- -


-
-

- -

4.       Configure -Tomcat

- -

5.       Deploy -StatsAgg to Tomcat

- -

·         -Stop the "Apache Tomcat Tomcat" -service

- -

·         -Create a folder in (tomcat-location)/webapps -called "StatsAgg"

- -

·         -Unzip the StatsAgg file into -(tomcat-location)/webapps/StatsAgg

- -

6.       Configure -the application.properties -file & the database.properties

- -

·         -Be especially mindful to properly configure the -database.properties file. If this this isn’t configured properly, StatsAgg may -not function properly.

- -

7.       Start -the "Apache Tomcat Tomcat" service.
-
-

- -

2.3       Linux -installation

- -

Because -installation instructions vary widely based on distro, only high-level -instructions will be provided for Linux deployments.

- -

1.       Install -a Java 1.8+ JRE

- -

2.       Install -Tomcat

- -

a.       Configure -Tomcat to explicitly use the version of Java that was installed in step 1, or change the OS path to use JDK installed in step 1 as -the default JDK.

- -

3.       Configure -Tomcat

- -

a.       (Optional, -Recommended) Set Java options.

- -

                                                               -i.      -Create a file -- (tomcat-location)/bin/setenv.sh

- -

·         -Make sure the file can be read by the user that -Tomcat runs as

- -

                                                             -ii.      -Add this line into the file:
-export JAVA_OPTS="-Xmx2560m -XX:+UseG1GC -XX:MaxGCPauseMillis=5000  -Dcom.sun.management.jmxremote=true --Dcom.sun.management.jmxremote.port=20000 -Dcom.sun.management.jmxremote.ssl=false --Dcom.sun.management.jmxremote.authenticate=false"

- -

·         -More on this here.

- -

·         -Xmx (max heap size) a very important setting -& is discussed in more detail here. -Xmx2560m is merely a suggestion.

- -

·         -Remote JMX options can be added to allow tools -like VisualVM to connect. If you don’t intend on using tools like VisualVM, -then don’t set the jmxremote options.

- -

·         -If you have Tomcat configured to read JAVA_OPTS -from some other location, then set the JAVA_OPTS there.

- -

b.       Make -the changes to server.xml discussed here.

- -

4.       Deploy -StatsAgg to Tomcat.

- -

a.       Stop -Tomcat. On many systems, this can be done with "sudo service tomcat -stop".

- -

b.       Create -a folder in (tomcat-location)/webapps called "StatsAgg"

- -

c.       Unzip -the StatsAgg war file into (tomcat-location)/webapps/StatsAgg

- -

5.       Configure -the application.properties -file & the database.properties

- -

a.       Be -especially mindful to properly configure the database.properties file. If this -file isn’t configured properly, StatsAgg may not function properly.

- -

6.       Start -Tomcat. On many systems, this can be done with "sudo service tomcat -start".
-
-

- -

2.4       -Tomcat -configuration

- -

In the -(Tomcat_Home)/conf/server.xml file, change the HTTP connection to look like -this:
-
-

- -


-
-<!-- port should be set to whatever port want to -interact with the StatsAgg WebUI on -->
- <Connector port="80" protocol="HTTP/1.1"

- -

connectionTimeout="20000"

- -

compression="on"

- -

useSendfile="false"

- -

compressableMimeType="text/html,text/xml,application/javascript,text/css,application/x-font-woff"

- -

compressionMinSize="2048" -

- -

redirectPort="8443" />

- -


-
-

- -

2.5       -StatsAgg -configuration

- -

For StatsAgg to -function properly, a minimum number of configuration settings must be set. This -documentation will point out the most critical fields that need to be set. All -settings are documented in the configuration files.
-
-

- -

2.5.1        -StatsAgg -application configuration

- -

StatAgg’s -application configuration file usually requires minimal configuration. That -said, StatsAgg still expects to see a user-maintained application configuration -file (application.properties).

- -

1.       Edit -"application.properties" @ -(tomcat-location)\webapps\StatsAgg\WEB-INF\config
-Example location (Windows): C:\Program Files\Apache Software -Foundation\Tomcat\webapps\StatsAgg\WEB-INF\config\application.properties

- -

·         -You can override the default configuration file -location by adding a Java argument to Tomcat: -DsaAppConfLocation="YourLocation"
-Example (Windows): --DsaAppConfLocation="C:\StatsAgg_Conf\application.properties"

- -

2.       Put -any values in this file that you want to deviate from the default.

- -

3.       If -you wish to change any of these values after starting StatsAgg, you will have -to edit the application.properties file and restart StatsAgg.

- -

 

- -

The full list -settings, default values, and examples usages can be found in -StatsAgg\WEB-INF\config\example_application.properties

- -

Some common -settings to put in the application.properties file include:

- -

·         -Output to Graphite

- -

o   -graphite_output_module_1 = -true,graphite-server.some-domain.com,2003,2,1000,true,true

- -

·         -Output to OpenTSDB

- -

o   -opentsdb_telnet_output_module_1 = -true,opentsdb-server.some-domain.com,4242,2,true

- -

·         -Output to InfluxDB

- -

o   -influxdb_v1_output_module_1 = -true,http://influxdb-server.some-domain.com:8086/,2,10

- -

·         -Enabling email alerts

- -

o   -alert_send_email_enabled = true

- -

o   -alert_statsagg_location = (url of your StatsAgg -deployment. Ex: http://some-domain.com/StatsAgg)

- -

o   -Fill in the alert_smtp_* settings with the -details of your SMTP server.

- -

·         -Prefix StatsAgg output. This groups all -StatsAgg output together in Graphite via a top-level directory.

- -

o   -global_metric_name_prefix_enabled = true

- -

o   -global_metric_name_prefix_value = statsagg
-
-

- -

2.5.2        -StatsAgg -database configuration

- -

StatsAgg uses a -relational database for storing StatsD Gauge values, metric group info, alert -info, etc. The database is NOT used for storage of metric data -(Graphite/OpenTSDB/InfluxDB/etc is used for this). StatsAgg supports two different -database technologies: Apache Derby Embedded & MySQL.

- -

StatsAgg expects to -see a user-created database configuration file (database.properties). If one is -not specified, then StatsAgg will use an ephemeral (in-memory) database. While -functional, the ephemeral database will lose all its data as soon as StatsAgg -is shutdown or restarted. For users that don’t care about StatsAgg’s alerting -capabilities & just want to use StatsAgg as a StatsD metric aggregator, -this mode should work just fine. Please note that when StatsAgg fails to -connect to a database that you have assigned to it, it may instead attempt to -use ephemeral database.
-
-

- -

2.5.2.1       Apache -Derby Embedded

- -

This is the -default database type, and the simplest to configure. The advantages of using -Apache Derby are…

- -

·         -No separate sever needed.

- -

·         -The engine runs inside the StatsAgg JVM, so -there is 0 query latency.

- -

·         -Minimal configuration required.

- -

·         -Upgrades to the database engine are embedded -into the StatsAgg deployment.

- -

·         -No worries about losing database connectivity.

- -

 

- -

The -disadvantages of using this database type are…

- -

·         -Due to engine limitations, this database will -perform worse than MySQL when processing large numbers of Gauge metrics.

- -

·         -You can’t connect to the database from an -external client while StatsAgg is running. This is a limitation inherit in -Apache Derby Embedded.

- -

·         -Less community support than MySQL.

- -

·         -Backup mechanisms are less robust.

- -

·         -The database engine uses up JVM heap space, -leaving less room for the rest StatsAgg’s data.

- -

 

- -

If you choose to -use Apache Derby, then the steps to configure StatsAgg to use it are…

- -

1.       Edit -"database.properties" @ -(tomcat-location)\webapps\StatsAgg\WEB-INF\config
-Example location (Windows): C:\Program Files\Apache Software -Foundation\Tomcat\webapps\StatsAgg\WEB-INF\config\database.properties

- -

·         -You can override the default configuration file -location by adding a Java argument to Tomcat: -DsaDbConfLocation="YourLocation"
-Example (Windows): --DsaDbConfLocation="C:\StatsAgg_Conf\database.properties"

- -

2.       Create -a folder somewhere on your StatsAgg server for the database data. StatsAgg must -have read/write permissions to this folder. In the database.properties file, -assign the location of this folder to the variable ‘db_localpath’.

- -

·         -Failure to perform this step may lead to Apache Derby -attempting to create the database at a location of its choosing (ex – at the -root of your filesystem).

- -

3.       The -settings listed below are the recommended set of database.properties settings -for Apache Derby Embedded.
-

-#database.properties settings
-cp_max_connections = 50

- -

cp_acquire_retry_attempts = 3

- -

cp_acquire_retry_delay = 250

- -

cp_connection_timeout = 5000

- -

cp_enable_statistics = false

- -

cp_default_auto_commit = false

- -

connection_validity_check_timeout = 5
-
-# Set db_localpath to the location created in step #2. Example: -C:\\StatsAgg\\Data
-# Set the username/password to whatever values you deem appropriate.

-
db_type -= derby_embedded

- -

db_localpath =

- -

db_name = statsagg_db

- -

db_username =

- -

db_password =

- -

db_attributes = create=true;upgrade=true;
-
-

- -

derby.system.home = ${db_localpath}

- -

derby.infolog.append = true

- -

derby.stream.error.file = -${db_localpath}${file.separator}${db_name}${file.separator}log${file.separator}db_log.txt     

- -

derby.storage.pageSize = 16384

- -

derby.storage.pageCacheSize = 15000

- -

 

- -

A full list -settings, default values, and examples usages can be found in -StatsAgg\WEB-INF\config\example_database.properties
-
-

- -

2.5.2.2       MySQL

- -

MySQL can be -used instead of Apache Derby. MySQL is recommended for more customers that -require a more enterprise-friendly database. The advantages of MySQL are…

- -

·         -Faster than Apache Derby at processing amounts -of StatsD Gauge metrics.

- -

·         -Database processing can be performed on a -separate server from the StatsAgg server. This has the overall effect freeing -up resources on the StatsAgg server.

- -

·         -You can connect to the database from an external -client while StatsAgg is running.

- -

·         -Backup mechanisms are robust.

- -

 

- -

The -disadvantages of using this database type are…

- -

·         -Runs as a separate process from StatsAgg. If the -database goes down (or becomes unavailable to StatsAgg), StatsAgg will not -function properly.

- -

o   -Without a restart, StatsAgg doesn’t guarantee a -complete recovery from a database connectivity issue. It is recommended that -StatsAgg be restarted if there is a MySQL connectivity loss.

- -

·         -Complicated configuration (compared to Apache -Derby).

- -

 

- -

If you choose to -use MySQL, then the steps to configure StatsAgg to use it are…

- -

1.       Install/configure -MySQL 5.6+

- -

·         -MySQL community edition 5.6+, Percona Server -5.6+, and MariaDB 10+ are supported.

- -

·         -MySQL’s configuration can get really complex. -The MySQL configuration settings listed below are required to ensure that -StatsAgg functions properly. Note that there are MANY other settings that can -be set on MySQL to achieve faster performance, greater durability, etc, but -those are out-of-scope for this documentation.
-

-#In my.ini on Windows. On Linux, set in my.cnf.
-explicit_defaults_for_timestamp = 1
-innodb_file_format = Barracuda
-innodb_file_format_max = Barracuda
-innodb_file_per_table = ON
-innodb_large_prefix = ON
-innodb_strict_mode = ON

- -

2.       Connect -to MySQL & run "create database statsagg;"

- -

3.       Create -appropriate usernames, passwords, and privileges on the MySQL server. Make sure -that the user that the StatsAgg application connects as has full grants/privileges -on the ‘statsagg’ database that was created in step 1.

- -

4.       Edit -"database.properties" @ -(tomcat-location)\webapps\StatsAgg\WEB-INF\config
-Example location (Windows): C:\Program Files\Apache Software -Foundation\Tomcat\webapps\StatsAgg\WEB-INF\config\database.properties

- -

·         -You can override the default configuration file -location by adding a Java argument to Tomcat: -DsaDbConfLocation="YourLocation"
-Example (Windows): --DsaDbConfLocation="C:\StatsAgg_Conf\database.properties"

- -

5.       The -settings listed below are the recommended set of database.properties settings -for MySQL.
-
-

- -

#database.properties settings
-cp_max_connections = 50

- -

cp_acquire_retry_attempts = 3

- -

cp_acquire_retry_delay = 250

- -

cp_connection_timeout = 1000

- -

cp_enable_statistics = false

- -

cp_default_auto_commit = false

- -

connection_validity_check_timeout = 1
-
-# Set the hostname/port to point to the server that MySQL runs on. If running -MySQL on the same server as StatsAgg, use db_hostname=127.0.0.1
-# Set the username/password to whatever values you deem appropriate.

-
db_type -= mysql

- -

db_hostname =

- -

db_port = 3306

- -

db_name = statsagg

- -

db_username =

- -

db_password =

- -

db_attributes = -autoReconnect=true&failOverReadOnly=false&maxReconnects=1

- -

 

- -


-Notes

- -

·         -A full list settings, default values, and examples -usages can be found in StatsAgg\WEB-INF\config\example_database.properties

- -

·         -StatsAgg was only tested against MySQL 5.6. -However, it should work on MySQL 5.5+ (the author has no intentions of testing -on any platform lower than MySQL 5.6).

- -

·         -StatsAgg expects/requires a -low-latency/high-bandwidth connection to the MySQL database. If such a -connection isn’t available, then it is recommended that Apache Derby Embedded -be used instead.
-
-

- -

2.5.2.3       Apache -Derby vs MySQL

- -

The author of -StatsAgg generally recommends Derby over MySQL. Derby is simpler to setup, has -adequate performance for almost all use-cases, is incapable of being -unavailable (at least independently of the application), and is more portable. -MySQL is generally only recommended for users that want to standardize around a -MySQL tech-stack (which may make backups easier, etc), or are trying to achieve -higher performance (depending on the use-case, MySQL can be faster).
-
-

- -

2.5.3        -StatsAgg WebUI security configuration (optional)

- -

The initial -release plans for StatsAgg did not include any form of security for the WebUI. -However, since Tomcat provides a mechanism for relatively easy/simple -authentication, StatsAgg can be configured to use authentication.

- -

 

- -

This can be -accomplished via the following steps:

- -

1.       Open -"(tomcat-location)\webapps\StatsAgg\WEB-INF\web.xml" in a text editor

- -

a.       -Uncomment the <security-constraint> & -<login-config> sections

- -

2.       Open -"(tomcat-location)\conf\tomcat-users.xml" in a text editor

- -

a.       -Add the following roles & users into the -<tomcat-users> section. Substitute your own passwords.
-
<role -rolename="statsagg-admin"/>

- -

<user -username="admin" password="somePW_1" -roles="statsagg-admin"/>

- -

<role rolename="statsagg-read-only"/>
-<user username="guest" password="somePW_2" -roles="statsagg-read-only"/>

- -

3.       Restart -Tomcat

- -


-
-

- -

Notes

- -

·         -Without securing the wire traffic, Tomcat’s -authentication mechanism is not particularly secure. Ideally, HTTP traffic -should be SSL encrypted. It is up to the user to configure this.

- -

·         -StatsAgg currently does not provide a ‘logout’ mechanism. -Usually closing & reopening your browser will accomplish this.

- -

·         -Authentication is NOT enabled by default
-
-

- -

2.6       Updating/upgrading

- -

StatsAgg can be -upgraded relatively easily, but it still requires some hand-holding. As the -product matures, the upgrade process may get easier.

- -

Upgrade by -following these steps:

- -

1.       Stop -Tomcat (this can sometimes take over 30 seconds)

- -

2.       If -you are using the ‘DsaAppConfLocation’ and ‘DsaDbConfLocation’ JVM options to -point to configuration files outside of the StatsAgg deployment, then you can -skip this step. If you use applications.properties & database.properties -files are inside of the application deployment (@ -(tomcat-location)\webapps\StatsAgg\WEB-INF\config), then you must save these -files somewhere for later access.

- -

3.       Update -the StatsAgg database as directed by the release notes.

- -

a.       -StatsAgg database update SQL statements reside @ -(tomcat-location)\webapps\StatsAgg\WEB-INF\sql

- -

b.       -You must apply all updates from between your -current version & the version you are deploying. For example, if you are -upgrading from version 1.0 to version 1.2, then you should apply the database -updates listed in "Upgrade to 1.1.txt" and "Upgrade to -1.2.txt".

- -

c.       -If using an Apache Derby database, these changes -can be manually applied by connecting to the database tool like "SQuirreL -SQL" & running the listed SQL statements. If using a MySQL database, -the same approach can be used with a tool like "MySQL Workbench". -There are several other tools that can perform this task; these are just the -ones that the StatsAgg author recommends.

- -

4.       Delete -contents of the StatsAgg deployment @ (tomcat-location)\webapps\StatsAgg

- -

5.       Unzip -the StatsAgg new war file contents into (tomcat-location)\webapps\StatsAgg

- -

6.       (only -if you performed step 2) Move your application.properties & database.properties -files back into the StatsAgg deployment @ -(tomcat-location)\webapps\StatsAgg\WEB-INF\config

- -

7.       Update -the application.properties and/or database.properties files as needed.

- -

a.       Review -‘example_application.properties’ & ‘example_database.properties’ to see if -any changes to your configuration settings are needed.

- -

8.       Review -the release notes to make sure that there isn’t anything new/important that you -have to know about for the new release.

- -

9.       Start -Tomcat

- -

2.7       Configuring -for High Availability

- -

Due to the nature -of how StatsAgg aggregates, stores, and alerts on metrics, StatsAgg is not -capable of being truly highly available. That is to say, the architecture only -supports one StatsAgg server handling incoming metric traffic at any given -time.

- -

 

- -

In the event of -a server failure, downtime can be minimized if StatAgg is deployed in a way -similar to this:

- -

·         -Deploy StatsAgg to two separate servers. -Configure them identically, but only one start Tomcat on one of the servers. -The server that is running Tomcat will be considered the ‘active’ node, and the -server that is not running Tomcat will be considered the ‘standby’ node.

- -

o   -Use DNS (or so other traffic direction -mechanism) to direct all traffic to the ‘active’ StatsAgg node.

- -

o   -In the event of a failure on the ‘primary’ node, -start Tomcat on the ‘standby’ node & switch the DNS (or so other traffic -direction mechanism) to point to the ‘standby’ node.

- -

·         -In a normal active/standby deployment, StatsAgg -should use MySQL for its database. 

- -

o   -Alternatively, one could use a -Apache Derby database (which would be local to the active node) & mirror -the data to the standby node.

- -

·         -StatsAgg’s MySQL database can be configured to -be highly available via several mechanisms.

- -

o   -MySQL can run in a master/slave configuration, -where the slave can be promoted to the master in the event of hardware failure. -StatsAgg should always point to whichever node is the master node.

- -

§  -If this mechanism is used, then make sure to use -‘row’ based replication. Also, be aware that in the event of a failover from -the master to the slave, there could be a small amount of data loss.

- -

o   -One can run a MySQL Galera cluster. This -configuration will work with StatsAgg.

- -

o   -MySQL NDB clusters may work, but are not -formally supported.

- -

3    Metric -inputs/outputs

- -

3.1       -Terminology

- -

StatsAgg supports -multiple metric formats, and this documentation tries to use the naming -convention that is appropriate for each metric-type. This makes the -documentation easier for people that know their specific metric format, but it -also means that the same thing can go by several different names. Listed below -are some of the naming conventions used.

- -

‘The identifier of a metric’
-StatsD calls this a ‘bucket’
-Graphite calls this a ‘metric-path’
-OpenTSDB calls this a ‘metric’, through OpenTSDB also supports tags on metrics. -
-Many metric storage engines call this a ‘metric-series’
-StatsAgg refers to this as a ‘metric-key’

- -

‘Metric-key + metric-value’
-
This combination is often referred to as a ‘data point’.
-This combination is sometimes referred to as a ‘metric’
-
-

- -

3.2       Graphite -metrics

- -

3.2.1        -Overview

- -

Graphite is a popular tool for visualizing & storing -time-series data. Among open-source tools that provide this functionality, -Graphite was a pioneer. Many other tools are compatible with the Graphite -format, so providing native support for Graphite metrics was a core design goal -in StatsAgg.

- -

 

- -

By default, StatsAgg can listen for Graphite ‘plaintext’ -metrics on ports 2003 & 22003 (TCP & UDP, on both ports). Port 2003 is -used for Graphite ‘passthrough’ metrics, and port 22003 is used for Graphite -‘aggregated’ metrics. For more information on the distinction between -‘passthrough’ and ‘aggregated’, please read about ‘passthrough’ and ‘aggregated’ graphite metrics.
-
-StatsAgg does not currently support receiving Graphite metrics in the ‘pickle -protocol’.

- -

 

- -

3.2.2        -Metric format

- -

The Graphite format is: metricPath metricValue -unixEpochTime\n

- -

Example: some.descriptive.name.for.a.metric 123.643 -1408334418\n

- -

 

- -

Notes:

- -

·         -Every individual metric MUST end with a newline -character.

- -

·         -The maximum size of a single metric (metric + -timestamp + value + whitespace) must be less than 32767 characters long.

- -

·         -StatsAgg can handle metric values of almost any -size & scale, with a few limitations.

- -

o   Graphite -may not be able to handle extremely large and/or small numbers.

- -

o   ‘Aggregated’ -Graphite metrics will round to 7 decimal places.

- -

·         -Sending multiple metrics in a single TCP or UDP -push is allowed, but every individual metric must end in a newline character.

- -

o   Example: -some.descriptive.name.for.a.metric1 123 -1408334418\nsome.descriptive.name.for.a.metric2 456 1408334418\n

- -

o   Sending -more than a few metrics per UDP push is not recommended (due to limitations in -the UDP protocol).

- -

·         -In the actual Graphite program, several -characters are not allowed in metric-paths. Some examples include (but are not -limited to): ‘%’, ‘\’, ‘/’, ‘[‘, ‘]’, ‘{‘, ‘}’, ‘ ‘.

- -

o   It -is up to the program sending the Graphite metrics to use an ‘allowed’ character -set. StatsAgg will not reformat/correct metrics that use characters that don’t -play well with Graphite.

- -

·         -In the actual Graphite program, the ‘.’ -character is used to create folders between the metric-path descriptors.

- -

o   This -is only relevant if you intend on outputting your metrics to Graphite for -visualization.

- -

o   Example: -folder1.folder2.value1 123 1408334418\n folder1.folder2.value2 456 1408334418\n

- -

o   folder1
-   - folder2

- -

      * value1=123

- -

      * value2=456

- -

·         -StatsAgg doesn’t know/care that the ‘.’ -character is used for creating folder hierarchies, nor does it know/care about -other ‘special’ characters. These are distinctions that matter to the actual -Graphite program, but not to StatsAgg.

- -

 

- -

3.2.3        - ‘Passthrough’ metrics

- -

By default, port 2003 is used for Graphite ‘passthrough’ -metrics. The inputs to ‘passthrough’ Graphite metrics are normal/plain Graphite -metrics. The ‘passthrough’ aspect refers to how StatsAgg handles the metrics. -‘Passthrough’ means that StatsAgg performs no aggregation on the metrics. All -metrics that are received as inputs are also capable of being outputted. In -other words, every metric that is sent to StatsAgg is simply ‘passing through’.

- -

 

- -

Why use ‘passthrough’ Graphite metrics?

- -

·         -You don’t benefit from aggregating metrics if -you send Graphite metrics less frequently than the StatsAgg ‘flush interval’.

- -

·         -Aggregating Graphite metric uses far more CPU -resources on StatsAgg servers than ‘passthrough’ Graphite metrics does.

- -

·         -Graphite ‘passthrough’ metrics are the most -lightweight metric type that StatsAgg is capable of processing.

- -

·         -StatsAgg’s built-in alerting mechanism can alert -on Graphite ‘passthrough’ metrics.

- -

 

- -

Notes:

- -

·         -In the actual Graphite program, metrics that -have the same metric-path & timestamp overwrite each other. StatsAgg -doesn’t know/care about this, and if metrics are sent with the same metric-path -& timestamp, StatsAgg will pass all the metrics through.
-
-

- -

3.2.4        - ‘Aggregated’ metrics

- -

By default, port 22003 is used for Graphite ‘aggregated’ metrics. -The inputs to ‘aggregated’ Graphite metrics are normal/plain Graphite metrics. -The ‘aggregated’ aspect refers to how StatsAgg handles the metrics. -‘Aggregated’ means that StatsAgg will aggregate the Graphite metrics that are -sent to it.

- -

 

- -

Aggregation works as follows:

- -

1)      -StatsAgg receives Graphite metrics.

- -

2)      -Every ‘flush interval’ (10 seconds, by default), -StatsAgg will aggregate the Graphite metrics.

- -

a.       The -values from identical metric-paths are aggregated together.

- -

b.       StatsAgg -will output the following aggregated metrics: Count of metrics received for a -given metric-path, rate (per second) of metrics received for a given -metric-path, average value, median value, minimum value, maximum value, sum of -values

- -

c.       All -values are rounded to 7 decimal places.

- -

d.       The -timestamps are averaged together.

- -

3)      -Only the aggregated values are capable of being -alerted on & outputted. The original metric values are discarded after they -are aggregated.

- -

 

- -

 

- -

Example:

- -

folder1.folder2.value1 4 -1408334415\n

- -

folder1.folder2.value1 2 -1408334416\n

- -

folder1.folder2.value1 8 -1408334417\n

- -

folder1.folder2.value1 10 -1408334418\n

- -

folder1.folder2.value1 6 -1408334419\n

- -

 

- -

                is -aggregated into (assuming a ‘flush interval’ of 10 seconds)…

- -

 

- -

folder1.folder2.value1.Count 5 -1408334417\n

- -

folder1.folder2.value1.Rate-Sec -0.5 1408334417\n

- -

folder1.folder2.value1.Avg 6 -1408334417\n

- -

folder1.folder2.value1.Median 6 -1408334417\n

- -

folder1.folder2.value1.Sum 30 -1408334417\n

- -

folder1.folder2.value1.Min 2 -1408334417\n

- -

folder1.folder2.value1.Max 10 -1408334417\n

- -

 

- -

 

- -

On an aggregation, all the metric values associated with -a metric-path are aggregated together & the following metrics are -outputted:

- -

·         -Count (the count of ‘how many metrics were in a -metric-path’s list of metrics’)

- -

·         -Rate-Sec (the per-second rate of ‘how many -metrics were in a metric path’s list of metrics’)

- -

o   Rate-Sec -= Count/flush_interval

- -

·         -Avg (the average value of a metric-path’s list -of metrics)

- -

·         -Median (the median value of a metric-path’s list -of metrics)

- -

·         -Sum (the sum of a metric-path’s list of metrics)

- -

·         -Mix (the minimum value of a metric-path’s list -of metrics)

- -

·         -Max (the largest value of a metric-path’s list -of metrics)

- -

 

- -

 

- -

Why use ‘aggregated’ Graphite metrics?

- -

·         -In the actual Graphite program, metrics that -have the same metric-path & timestamp overwrite each other. Aggregating -metrics in StatsAgg preserves the range of values for the metric-path that were -sent during the ‘flush interval’.

- -

o   Warning: -if the current ‘averaged metric timestamp’ for a metric-path is the same as a -previously outputted ‘averaged metric timestamp’, then the new aggregated -metrics will overwrite the previous aggregated metrics in the actual Graphite -application.

- -

·         -StatsAgg’s built-in alerting mechanism can alert -on the aggregated metrics.

- -

·         -Performance – if you’re sending lots of metrics -with the same metric-path, StatsAgg may perform better you aggregate these -metrics (as opposed to using the StatsAgg Graphite ‘pass-through’ interface).

- -

·         -Example use-case: you send a metric-path, such -as CPU %, very frequently (ex, once per second). You want to know the range of -values that were sent, but you don’t want to store every individual data point.

- -

 

- -

3.3       -StatsD metrics

- -

3.3.1        -Overview

- -

StatsD is a popular protocol/program for -sending/aggregating data. While StatsD has a time-series component to it, the -protocol does not send timestamps. StatsD is oriented toward sending business -metrics & leaving it up to the metric receiver (the official StatsD app, -StatsAgg, etc) to make sense of them. By default, StatsAgg will listen for -StatsD metrics on ports 8125 (TCP & UDP, on both ports).

- -

 

- -

StatsD works as follows:

- -

1)      -StatsAgg receives StatsD metrics.

- -

2)      -Every ‘flush interval’ (10 seconds, by default), -StatsAgg will aggregate the StatsD metrics.

- -

a.       The -values from identical metric-paths are aggregated together (the aggregation logic -will depend on their metric type).

- -

b.       All -aggregations that involve division will round to 7 decimal places.

- -

c.       The -timestamps are averaged together.

- -

3)      -The aggregated metrics are made available to -StatsAgg’s alerting & outputting routines.

- -

 

- -

A good-faith effort was made to accurately re-implement -the StatsD protocol in StatsAgg. As of Spring 2015, StatsAgg’s StatsD protocol -implementation mirrors the behavior of every variation of every StatsD -metric-type. However, there are implementation differences that users should be -aware of. Please read the metric format section for more details.

- -

 

- -

Note – if you prefer to use the actual StatsD application -along with StatsAgg, then that configuration should work fine. Just have StatsD -output Graphite metrics to StatsAgg.
-
-

- -

3.3.2        -Metric format

- -

The metric format closely mirrors the format of the -official StatsD application.

- -

The official StatsD documentation can be found here: https://github.com/etsy/statsd/blob/master/docs/metric_types.md

- -

 

- -

General format: bucket:metricValue|metricType\n

- -

 

- -

Notes:

- -

·         -StatsD calls the name of a metric a -"bucket" (instead of ‘metric-path’, ‘metric key’, etc)

- -

·         -The maximum size of a single metric (bucket + -value + type) must be less than 32767 characters long.

- -

·         -Best practice is to end metrics in a ‘\n’ -character.

- -

o   This -is required for sending metrics via TCP.

- -

o   This -is not required for sending individual UDP metrics, but newlines are required -for sending multiple metrics in a single UDP post.

- -

·         -There are minor implementation differences -between how the official StatsD application works compared to StatsAgg. Please -read notes for each metric type for details.

- -

 

- -

Below is a list of StatsD formats that StatsAgg supports.

- -

 

- -

3.3.2.1       -Counters

- -

Format: bucket:metricValue|c

- -

Example:

- -

myBucket:15.5|c

- -

myBucket:3|c

- -

myBucket:-9|c

- -

 

- -

… outputs (assuming a ‘flush -interval’ of 10 seconds):

- -

myBucket.count = 9.5

- -

myBucket.rate = .95

- -

 

- -

 

- -

This is a simple counter. The input values are added -together at each ‘flush interval’, and then output. Two outputs are generated: -a count (which is the sum of the aggregated values), and a per-second rate -(count/’flush interval’).

- -

 

- -

The counts & sums from different ‘flush interval’ -windows are NOT aggregated together. Only metrics that arrive during the -current ‘flush interval’ are aggregated together. If you want StatsAgg to -aggregate metrics over multiple flush intervals, then you must use a ‘gauge’ -metric.

- -

 

- -

count & rate reset to 0 after each aggregation.

- -

 

- -

Note:

- -

·         -StatsAgg does support the StatsD ‘legacy -namespacing’ convention, but it is not enabled by default. Please consult the -application configuration file for more details.

- -

·         -If no new metrics are received by StatsAgg for a -bucket during a flush interval, StatsAgg can be configured to output either ‘0’ -or nothing.

- -

o   The -default behavior of StatsAgg is to send ‘0’.

- -

o   After -a restart, StatsAgg forgets bucket names for counter metrics. As a result, if -StatsAgg is configured to output ‘0’ for a counter-metric that has had a new -value, StatsAgg won’t begin outputting ‘0’ again until this bucket receives at -least one new data point. 

- -

o   After -a restart, StatsAgg forgets bucket names for StatsD counter metrics. As a -result, StatsAgg won’t be capable of outputting ‘0’s for a bucket until it -receives at least one new data point for that bucket (assuming that StatsAgg is -configured to output ‘0’ for a bucket that hasn’t recently had a new value).

- -

 

- -

3.3.2.2       -Sampling-based counters

- -

Format: bucket:metricValue|c|@samplePercent

- -

Example:

- -

myBucket:15.5|c|@0.1

- -

myBucket:3|c|@0.5

- -

 

- -

… outputs (assuming a ‘flush -interval’ of 10 seconds):

- -

myBucket.sum = 161

- -

myBucket.rate_ps = 16.1

- -

 

- -

 

- -

Sampling based counters work the same way as regular -counters, but the metric value is divided by the sampling percentage. In the -example, the sampling percentage for the value of ‘15.5’ is 10%. The sampling -percentage for the value of ‘3’ is 50%. The math works as follows: (15.5 / 0.1) -+ (3 / 0.5) = 161.

- -

 

- -

Sum & rate reset to 0 after each aggregation.

- -

 

- -

Note:

- -

·         -Note: regular counter & sampling-based -counters can safely be used together on the same bucket.

- -

·         -StatsAgg does support the StatsD ‘legacy -namespacing’ convention, but it is not enabled by default. Please consult the -application configuration file for more details.

- -

·         -If no new metrics are received by StatsAgg for a -bucket during a flush interval, StatsAgg can be configured to output either ‘0’ -or nothing.

- -

o   The -default behavior of StatsAgg is to send ‘0’.

- -

o   After -a restart, StatsAgg forgets bucket names for StatsD counter metrics. As a -result, StatsAgg won’t be capable of outputting ‘0’s for a bucket until it -receives at least one new data point for that bucket (assuming that StatsAgg is -configured to output ‘0’ for a bucket that hasn’t recently had a new value).

- -

 

- -

3.3.2.3       -Gauges

- -

Format: bucket:metricValue|g

- -

Example:

- -

myBucket:+4|g

- -

myBucket:15.5|g

- -

myBucket:+0.5|g

- -

myBucket:-3|g

- -

 

- -

… outputs "myBucket = -13". This is because …

- -

                0 -(starting value) - 4 = -4

- -

                Set -to 15.5 (‘set’ values always overwrite the previous value)

- -

                15.5 -+ 0.5 = 16

- -

                16 - -3 = 13

- -

 

- -

Gauges are arbitrary values. They can be static (‘set’) -values or additive values. ‘Additive’ values are prefixed by +/- signs. ‘Set’ -values do not include an operator ("+" or "-"). Anytime a -‘set’ gauge is encountered, it immediately overwrites whatever the previous -value of the gauge was. ‘Additive’ values add or subtract from the previous -gauge value.

- -

 

- -

Gauges can be very timing sensitive because a mixed -series of ‘set’ & ‘additive’ gauges can result in major differences to the -gauge value (depending on the order that the metrics are received). StatsAgg -tags each incoming gauge metric at the exact moment it is received, so Gauges -are processed in completely in sequence.

- -

 

- -

Unlike all other StatsD metric types, the value of a -gauge metric persists after every aggregation. That means that you can add or -subtract values to a gauge across an infinite period of time & never have -the metric reset to 0 (unless you purposefully set it to 0).

- -

 

- -

Notes:

- -

·         -A nuance of the Gauge metric type is that you -can’t ‘set’ a Gauge to a negative value without first setting the Gauge to 0. -This is because the ‘-‘ sign is always interpreted as -the operator for an ‘additive’ Gauge.

- -

·         -If no new metrics are received by StatsAgg for a -bucket during a flush interval, StatsAgg can be configured to output either -"the gauge’s value from the previous flush-interval’s aggregation" or -nothing.

- -

o   If -StatsAgg is configured to ‘send previous values when no new value is received’ -and to ‘persist statsd gauges’, then gauges values are persisted in StatsAgg’s -database. That means that when StatsAgg is restarted, the last known gauge -value is automatically loaded into StatsAgg. Also, additive values are executed -against whatever the previous value of the gauge was. In this configuration, -gauge values will never reset to 0.

- -

o   If -StatsAgg configured to ‘send nothing when no new value is received’, then gauge -values are reset to 0 after each StatsD aggregation.

- -

o   The -default behavior of StatsAgg is to send the gauge’s previous value & to -persist gauges into the StatsAgg database.

- -

 

- -

3.3.2.4       -Timers

- -

Format: bucket:metricValue|ms

- -

Example:

- -

myBucket: 4|ms

- -

myBucket:12|ms

- -

myBucket:2|ms

- -

 

- -

… outputs (assuming a ‘flush -interval’ of 10 seconds. For percentile values, assume the 70th -percentile):

- -

myBucket.count = 3

- -

myBucket.count_70 = 2

- -

myBucket.count_ps = 0.3

- -

myBucket.lower = 2

- -

myBucket.mean = 6

- -

myBucket.mean_70 = 3

- -

myBucket.median = 6

- -

myBucket.std = 4.32

- -

myBucket.sum = 18

- -

myBucket.sum_70 = 6

- -

myBucket.sum_squares = 164

- -

myBucket.sum_squares_70 = 20

- -

myBucket.upper = 12

- -

myBucket.upper_70 = 4

- -

 

- -

Like counter, timers also support sampling. Metric -sampling alters the timer ‘count’ and ‘count_ps’ metrics.

- -

Example: myBucket:12|ms|@0.1

- -

In the above example, the -sample-rate is ‘0.1’. This results in ‘count’ and ‘count_ps’ being multiplied -by 10.

- -

 

- -

Timer metrics are the most complex/heavy metric type that -StatsD supports. The input is expected to be in the form of a time (in -milliseconds), but it can be any arbitrary list of values. On an aggregation, -all the metric values associated with a bucket are aggregated together & -the following metrics are outputted:

- -

·         -count (the count of ‘how many metrics were in a -bucket’s list of metrics’)

- -

o   If -a sample rate was used, then the formula is: count = count/sample_rate

- -

·         -count_ps (the per-second rate of ‘how many metrics -were in a bucket’s list of metrics’)

- -

o   count_ps -= count/flush_interval

- -

o   If -a sample rate was used, then the formula is: count_ps = -count/flush_interval/sample_rate

- -

·         -count_nth (the count of ‘how many metrics were in -a within the bucket’s nth percentile of metrics’)

- -

o   The -‘nth’ part of ‘count_nth’ is the numeric value of the nth percentile that is -calculated. Example: ‘count_40’

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th -percentile count is ‘3’.

- -

·         -count_topnth (the count of ‘how many metrics -were in a within the bucket’s top nth percentile of metrics’)

- -

o   The -‘nth’ part of ‘top_topnth’ is the numeric value of the top nth percentile that -is calculated. Example: ‘count_top40’

- -

o   When -a negative nth percentile is specified by the user, this makes StatsD present -the ‘top’ nth percentile.

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th -percentile (user specified ‘-35’) count is ‘3’.

- -

·         -lower (the smallest value of a bucket’s list of -metrics)

- -

·         -lower_topnth (the smallest value, within the top -nth percentile, of a bucket’s metrics)

- -

o   The -‘nth’ part of ‘lower_nth’ is the numeric value of the nth percentile that is -calculated. Example: ‘lower_top40’

- -

o   When -a negative nth percentile is specified by the user, this makes StatsD present -the ‘top’ nth percentile.

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th -percentile (user specified ‘-35’) lower is ‘675’.

- -

·         -mean (the  -average of a bucket’s list of metrics)

- -

·         -mean_nth (the average of a bucket’s nth -percentile of metrics)

- -

o   The -‘nth’ part of ‘mean_nth’ is the numeric value of the nth percentile that is -calculated. Example: ‘mean_40’

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th -percentile mean is ‘301.3333333’.

- -

·         -mean_topnth (the average of a bucket’s top nth -percentile of metrics)

- -

o   The -‘nth’ part of ‘mean_topnth’ is the numeric value of the top nth percentile that -is calculated. Example: ‘mean_top40’

- -

o   When -a negative nth percentile is specified by the user, this makes StatsD present -the ‘top’ nth percentile.

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th -percentile (user specified ‘-35’) mean is ‘837.6666667’.

- -

·         -median (the median value of a bucket’s list of -metrics)

- -

·         -std (the ‘population standard deviation’ of a -bucket’s list of metrics).

- -

·         -sum (the sum of a bucket’s list of metrics)

- -

·         -sum_nth (the sum of a bucket’s nth percentile of -metrics)

- -

o   The -‘nth’ part of ‘sum_nth’ is the numeric value of the nth percentile that is -calculated. Example: ‘sum_40’

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th -percentile sum is ‘904’.

- -

·         -sum_topnth (the sum of a bucket’s top nth -percentile of metrics)

- -

o   The -‘nth’ part of ‘sum_topnth’ is the numeric value of the top nth percentile that is -calculated. Example: ‘sum_top40’

- -

o   When -a negative percentile is specified by the user, this makes StatsD present the -‘top’ nth percentile.

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th -percentile (user specified ‘-35’) sum is ‘2513’.

- -

·         -sum_squares (the ‘sum of squares’ of a bucket’s -list of metrics)

- -

o   sum_squares -= metricValueA^2  +  metricValueB^2 + …

- -

·         -sum_squares_nth (the ‘sum of squares’ of a -bucket’s nth percentile of metrics)

- -

o   The -‘nth’ part of ‘sum_squares_nth’ is the numeric value of the nth percentile that -is calculated. Example: ‘sum_squares_40’

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th -percentile ‘sum of squares’ is ‘328456’.

- -

·         -sum_squares_topnth (the ‘sum of squares’ of a -bucket’s top nth percentile of metrics)

- -

o   The -‘nth’ part of ‘sum_squares_topnth’ is the numeric value of the top nth -percentile that is calculated. Example: ‘sum_squares_top40’

- -

o   When -a negative percentile is specified by the user, this makes StatsD present the -‘top’ nth percentile.

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th -percentile (user specified ‘-35’) ‘sum of squares’ is ‘2155997’.

- -

·         -upper (the largest value of a bucket’s list of -metrics)

- -

·         -upper_nth (the large value, within the nth -percentile, of a bucket’s metrics)

- -

o   The -‘nth’ part of ‘upper_nth’ is the numeric value of the nth percentile that is -calculated. Example: ‘upper_40’

- -

o   In -the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th -percentile upper is ‘450’.

- -

 

- -

The values reset to 0 after each aggregation.

- -

 

- -

Timers also (optionally) support histograms. Histograms -work as follows:

- -

·         -On an aggregation cycle, metric data-points that -share the same bucket can have their metric values categorized in a histogram. -Histograms allow one to see the frequency distribution of timer metric values -by counting how many metric values fall within a predefined set of ranges.

- -

o   The -ranges are referred to as ‘bins’, and the lower/upper ends of the bin range are -the ‘bin boundaries’.

- -

o   The -lower end of the first ‘bin’ is assumed to be 0.

- -

·         -A counter for the bin is incremented by 1 if…

- -

o   A -metric’s numeric value is greater than or equal to the lower-boundary of -histogram ‘bin value’

- -

o   A -metric’s number value is less than the upper-boundary of the histogram ‘bin -value’

- -

·         -One can specify ‘inf’ in the ‘bin values’ list -as a catch-all for values that are not covered by any other bin.

- -

o   ‘inf’ -must be the last bin specified in the ‘bin values’ list. ‘inf’ stands for -infinity.

- -

·         -Multiple histogram configuration sets can be listed. -They are evaluated in the order that they are specified. The histogram -configuration that will be used is the first configuration where the ‘metric’ -field has a value that is part of metric’s bucket.

- -

o   Example -histogram configuration: [{metric:'taco',bins:[1,10,20]},{metric:'lalalala',bins:[5,'inf']}]
-For a bucket of "cpu.server.lalalala", the bins:[5,'inf'] would be -used.
-That means that the histogram boundaries are: 0-5, 5-infinity

- -

o   If -one does not specify a ‘metric’ value in the histogram configuration, then all -metrics are matched. Example: [{metric:'',bins:[1,10,20]}]

- -

 

- -

Example:

- -

                Histogram -configuration: [{metric:'myBucket',bins:[0.1,1,1.21,'inf']}]

- -

 

- -

                Metrics:

- -

myBucket:0|ms

- -

myBucket:0.1|ms

- -

myBucket:1|ms

- -

myBucket:1.1|ms

- -

myBucket:1.2|ms

- -

myBucket:10|ms

- -

myBucket:10.1|ms

- -

myBucket:15|ms

- -

 

- -

Output:

- -

myBucket.histogram.bin_0_1 = 1

- -

myBucket.histogram.bin_1 = 1

- -

myBucket.histogram.bin_1_21 = 3

- -

myBucket.histogram.bin_1_inf = 3

- -

 

- -

 

- -

Notes:

- -

·         -On histograms…

- -

o   StatsAgg -sanitizes histogram configurations more thoroughly than StatsD does. For a -given histogram configuration, StatsAgg de-duplicates bin values, removes -negative bin values, removes leading/trailing zeros on bin values, and sorts -bin values.

- -

o   Since -timer metric values cannot be negative, one cannot have a negative ‘bin value’. -

- -

o   Since -a metric value must be greater than the ‘bin value’ for the bin counter to be -incremented, and the lowest allowed metric value is ‘0’, histogram bins must be -greater than ‘0’.

- -

o   For -compatibly with Graphite, StatsD replaces all occurrences of ‘.’ with ‘_’ in -the outputted metrics. StatsAgg also does this.

- -

·         -The outputted metric-keys for the nth percentile -keys will substitute the ‘_’ for the ‘.’ character in the event that the user -specifies an nth percentile that has a fractional component.

- -

o   Example: -if the user-specified nth percentile is "70.5", then an example -output metric-key would be "myBucket.upper_70_5"

- -

·         -When a negative percentile is specified by the -user, this makes StatsD present the ‘top’ nth percentile. This also has the -side effect of changing the users negative percentage into a positive -percentage, and will result in metric-keys between outputted with ‘top’ in -place of ‘-‘.

- -

o   Example: -if the user-specified top nth percentile is ‘-45, then an example output -metric-key would be "myBucket.sum_top45".

- -

·         -StatsAgg allows for multiple ‘nth percentile’ -values to be computed & outputted. This can be configured in the StatsAgg -application configuration file.

- -

·         -If no new metrics are received by StatsAgg for a -bucket during a flush interval, StatsAgg can be configured to output either ‘0’ -or nothing.

- -

o   The -default behavior of StatsAgg is to send ‘0’.

- -

o   After -a restart, StatsAgg forgets bucket names for StatsD timer metrics. As a result, -StatsAgg won’t be capable of outputting ‘0’s for a bucket until it receives at -least one new data point for that bucket (assuming that StatsAgg is configured -to output ‘0’ for a bucket that hasn’t recently had a new value).

- -

 

- -

3.3.2.5       -Sets

- -

Format: bucket:metricValue|s

- -

Example:

- -

myBucket:15.5|s

- -

myBucket:15.5|s

- -

myBucket:88|s

- -

myBucket:2.6|s

- -

myBucket:88|s

- -

 

- -

… outputs: "myBucket = -3"

- -

 

- -

Sets count the number of unique metric values that a -bucket has associated with it at aggregation time. If the value of ‘1000’ is -sent 30 times during the flush interval, it will only count as +1 for the set.

- -

 

- -

The value resets to 0 after each aggregation.

- -

 

- -

Note:

- -

·         -If no new metrics are received by StatsAgg for a -bucket during a flush interval, StatsAgg can be configured to output either ‘0’ -or nothing.

- -

o   The -default behavior of StatsAgg is to send ‘0’.

- -

o   After -a restart, StatsAgg forgets bucket names for StatsD set metrics. As a result, -StatsAgg won’t be capable of outputting ‘0’s for a bucket until it receives at -least one new data point for that bucket (assuming that StatsAgg is configured -to output ‘0’ for a bucket that hasn’t recently had a new value).
-
-

- -

3.3.3        -StatsD legacy namespacing

- -

StatsD has a -metric output naming convention called ‘legacy namespacing’. ‘Legacy -namespacing’ has the following effects:

- -

·         -All metric output Sprefixes that are specific to -StatsD counters are ignored

- -

·         -Counter ‘rates’ are put in stats.{myBucket}

- -

·         -Counter ‘counts’ are put in -stats_counts.{myBucket}

- -

·         -All other metric types are put in -stats.{metricTypePrefix}.{myBucket}

- -

 

- -

StatsAgg -supports this convention, but it is disabled by default.

- -

 

- -

3.3.4        -Other differences between StatsD & StatsAgg

- -

While the various metric formats have some differences -compared to the official StatsD application (see the individual metric format -sections for more details), there are a few other differences in StatsAgg -(compared to StatsD) that are worth mentioning. They are:

- -

·         -StatsAgg is not capable of being a StatsD -‘repeater’

- -

o   If -you wish to accomplish this functionality, you could use the actual StatsD -application as a repeater & have the final destination be StatsAgg. This -will only work for StatsD UDP metrics.

- -

·         -StatsAgg cannot disable counters -("flush_counts") like StatsD can.

- -

·         -StatsAgg does not have a mechanism for -user-provided ‘backends’.

- -

o   Because -StatsAgg is a compiled/bundled program, ‘backend’ functionality must be built -into the core program.

- -

o   Graphite -is the only currently supported backend (for now). However, since several -services support the receiving Graphite metrics (ex- influxdb), you are not -necessarily limited to only Graphite.

- -

 

- -

3.3.5        -Sample StatsAgg configuration file compared to a -StatsD configuration file

- -

StatsD

- -

{

- -

                server: -"./servers/tcp",

- -

                graphitePort: -2003,

- -

                graphiteHost: -"graphite.some-domain.com",

- -

                port: -8125,

- -

                percentThreshold: -[40],

- -

                histogram: -[ { metric: '', bins: [ 0, 0.1, 1, 1.21, 'inf' ] } ],

- -

                graphite: -{globalPrefix : "stats", legacyNamespace : -false}

- -

}

- -

 

- -

 

- -

StatsAgg

- -

graphite_output_module_1 = true,graphite.some-domain.com,2003,3

- -

statsd_tcp_listener_enabled = true

- -

statsd_tcp_listener_port = 8125

- -

statsd_metric_name_prefix_enabled = true

- -

statsd_metric_name_prefix_value = stats

- -

statsd_counter_metric_name_prefix_enabled = true

- -

statsd_counter_metric_name_prefix_value = counters

- -

statsd_timer_metric_name_prefix_enabled = true

- -

statsd_timer_metric_name_prefix_value = timers

- -

statsd_gauge_metric_name_prefix_enabled = true

- -

statsd_gauge_metric_name_prefix_value = gauges

- -

statsd_set_metric_name_prefix_enabled = true

- -

statsd_set_metric_name_prefix_value = sets

- -

statsd_use_legacy_name_spacing = false

- -

statsd_nth_percentiles = 40

- -

statsd_histograms = [ { metric: -'', bins: [ 0, 0.1, 1, 1.21, 'inf' ] } ]
-
-

- -

3.4       -OpenTSDB

- -

OpenTSDB (open time-series database) is primarily a metrics -storage database. It is highly scalable & has advanced query & aggregation -mechanisms. StatsAgg is tested for compatibility with OpenTSDB 2.0+.

- -

Notes:

- -

·         -Since OpenTSDB is very capable of aggregating -metrics on its own, StatsAgg only acts as a ‘pass-through’ for OpenTSDB -metrics. If you’re not planning on using StatsAgg for alerting on OpenTSDB -metrics, then you should just send the metrics directly to OpenTSDB.

- -

·         -By default, StatsAgg will listen for OpenTSDB -telnet metrics on ports TCP port 4242.

- -

·         -By default, StatsAgg will listen for OpenTSDB -HTTP (JSON format) metrics on TCP port 4243.

- -

·         -The HTTP endpoint for OpenTSDB metrics in -StatsAgg is:

- -

o   (domain:port)/api/put

- -

o   Example: -myServer.com:4243/api/put

- -

·         -OpenTSDB’s format is extremely similar to -Graphite’s format. The only meaningful difference is that every metric must be -‘tagged’.

- -

·         -Other than "put" requests, the only other OpenTSDB API call that -StatsAgg responds to is the "version" API request.

- -

o   This -was done solely because the official OpenTSDB metric collector, tcollector, -uses "version" as a health-check for OpenTSDB.

- -

o   This -is only implemented for the telnet interface

- -

 

- -

3.4.1        -Metric Format

- -


-Telnet interface

- -

The OpenTSDB format is: metric epochTime metricValue -tagKey1=tagValue1 tagKey2=tagValue2 \n

- -

Example: some.descriptive.name.for.a.metric 123.643 -1408334418 type=taco food=Mexican\n

- -

 

- -

When using telnet, you must use the telnet -"put" command to send the metric.

- -

Example: put some.descriptive.name.for.a.metric -1408334418 123.643 type=taco food=Mexican

- -

 

- -

More details can be found here:

- -

http://opentsdb.net/docs/build/html/user_guide/writing.html

- -

http://opentsdb.net/docs/build/html/api_telnet/put.html

- -

 

- -

HTTP interface

- -

To send a single metric, send an HTTP POST with a body -that has content formatted like this:

- -

 

- -

{

- -

    -"metric": "some.descriptive.name.for.a.metric",

- -

    -"timestamp": 1408334418,

- -

    -"value": 18.888,

- -

    -"tags": {

- -

       -"food": "Mexican",

- -

       -"type": "taco"

- -

    }

- -

}

- -

 

- -

To send multiple metrics in a HTTP POST, format the HTTP -body as a Json Array, like this:

- -

 
-[

- -

{

- -

    -"metric": "some.descriptive.name.for.a.metric.1",

- -

    -"timestamp": 1408334418,

- -

    -"value": 16.888,

- -

    -"tags": {

- -

       -"food": "CatFood",

- -

       "type": "meowmix"

- -

    }

- -

},

- -

{

- -

    -"metric": "some.descriptive.name.for.a.metric.2",

- -

    -"timestamp": 1408334418,

- -

    -"value": 19.888,

- -

    -"tags": {

- -

       -"food": "American",

- -

       -"type": "hotdog"

- -

    }

- -

}

- -

]

- -

 

- -

More details can be found here: http://opentsdb.net/docs/build/html/api_http/put.html

- -

Details on sending compressed payloads can be found here: -http://opentsdb.net/docs/build/html/api_http/index.html

- -

 

- -

Notes:

- -

·         -The implementation of the telnet input interface -is more efficient than the implementation of the HTTP/JSON input interface. If -performance is a concern, then use the telnet interface.

- -

·         -Compared with the official OpenTSDB program, -StatsAgg can be configured to be more secure than OpenTSDB.

- -

o   OpenTSDB -runs its user-interface, http metric listener, telnet metric listener, and http -APIs off the same port. Since everything runs off the same port, it is somewhat -difficult to control access via traditional control mechanisms (ex – firewall).

- -

o   StatsAgg -runs the telnet listener, http listener, and user-interface on separate ports. -This allows one to open up the ports that are used for receiving incoming metrics -to a broader audience, while restricting the ability to read those metrics to a -narrower audience.

- -

o   StatsAgg -can also act as a sort of ‘front door’ for OpenTSDB. That is to say, StatsAgg -could receive metrics on a public network and then forward them to OpenTSDB -(which could be on a private network).

- -

·         -The OpenTSDB HTTP interface has full support for -the ‘summary’ parameter, and partial support for the ‘details’ parameter. See -the OpenTSDB documentation for more information.

- -

o   The -‘details’ parameter will return accurate counts for ‘failed’ & ‘success’, -but the ‘errors’ field is not currently being populated.

- -

·         -StatsAgg also supports compression on the -OpenTSB HTTP interface. As long as the "Content-Encoding" field is -set to "gzip" in the HTTP request header, users can send a -gzip-compressed HTTP request body (the OpenTSDB metric JSON) to StatsAgg.

- -

·         -When using the telnet interface, every -individual metric MUST end with a newline character.

- -

·         -The timestamp field can either be 10 characters -long with second precision, or 13 characters long with millisecond precision.

- -

·         -OpenTSDB tags cannot have duplicate tag-keys on -the same metric.

- -

o   Valid:   some.descriptive.name.for.a.metric 123.643 -1408334418 type=taco food=Mexican\n

- -

o   Invalid:   some.descriptive.name.for.a.metric 123.643 -1408334418 type=taco type=Mexican\n

- -

·         -The maximum size of a single metric (metric + -timestamp + value + tags) must be less than 32767 characters long. This is -larger than OpenTSDB supports.

- -

·         -To maintain compatibility with outputting to -Graphite, it may make sense to follow Graphite’s metric-path conventions.

- -

·         -OpenTSDB supports a limited character set for -metric names, tag keys, and tag values. The allowed characters include -alphanumeric characters, ‘.’, ‘_’, ‘-‘, and ‘/’. StatsAgg does not care about -these character-set limitations, but you may receive errors when writing -metrics with forbidden characters to OpenTSDB.

- -

·         -OpenTSDB supports scientific notation for metric -values.

- -

·         -There can be multiple key=value tag pairs. -StatsAgg does not limit the number of tags, but when outputting to OpenTSDB, -you must have least 1 tag, and at most 8 tags.

- -

 

- -

3.4.2        -How StatsAgg represents OpenTSDB metrics in the -WebUI

- -

To allow StatsAgg to match & alert off of any -combination of OpenTSDB’s metric/tags, StatsAgg generates what it calls a -‘metric key’.

- -

 

- -

The ‘metric key’ format is:

- -

metric : -alphabetically_sorted_tags

- -

 

- -

So if the OpenTSDB metric is "cpu.core0", and -the tags are "percentUsed=95 host=server1", then the StatsAgg ‘metric -key’ would be:

- -

cpu.core0 : host=server1 -percentUsed=95

- -

 

- -

This allows StatsAgg users to write regular expressions -for ‘metric groups’ that can accommodate any combination of metric & tag -values.

- -

 

- -

Note – The concept of a ‘metric key’ stays internal to -StatsAgg. This field is not outputted anywhere (other than the StatsAgg WebUI).

- -

 

- -

3.5       -InfluxDB

- -

NOTE: The version of -InfluxDB that StatsAgg is compatible with is depreciated. Support for modern -versions of InfluxDB will be included in a future StatsAgg release.

- -

InfluxDB is primarily a metrics storage database. It is -highly scalable & has advanced query capabilities. StatsAgg is tested for -compatibility with InfluxDB 0.6x - 0.8x.

- -

Notes:

- -

·         -StatsAgg only acts as a ‘pass-through’ for -InfluxDB metrics. If you’re not planning on using StatsAgg for alerting on -InfluxDB metrics, then you should just send the metrics directly to InfluxDB.

- -

·         -By default, StatsAgg will listen for InfluxDB -HTTP metrics on ports TCP port 8086.

- -

·         -The HTTP endpoint for InfluxDB metrics in -StatsAgg is:

- -

o   (domain:port)/db/(your_influxdb_database)/series

- -

o   Example: -myServer.com:8086/db/statsagg/series?u=saUser&p=saPW

- -

·         -More details can be found here: https://influxdb.com/docs/v0.8/api/reading_and_writing_data.html -
-
-

- -

3.5.1        -Metric Format

- -

A HTTP POST with a body that has content formatted like -this:

- -

 

- -

URL: -myServer.com:8086/db/statsagg/series?u=saUser&p=saPW&time_precision=ms

- -

 

- -

HTTP Body:

- -

[

- -

  -{

- -

    "name" : -"hd_used",

- -

    "columns" : -["metric_1", "metric_2", "host", -"mount", "is_full", "time", "sequence_number"],

- -

    "points" : -[

- -

      [23.2, 33.44, "serverA", -"/mnt", false, 1400425947368, 2]

- -

    ]

- -

  -}

- -

]

- -

 

- -

More details can be found here: https://influxdb.com/docs/v0.8/api/reading_and_writing_data.html -

- -

 

- -

Notes:

- -

·         -The "time" column is optional. If -specified, StatsAgg will use the time that is specified for the metric. If time -is not specified, then StatsAgg will use the current time.

- -

o   If -time is specified, but the "time_precision" url query parameter is -not, then StatsAgg will treat "time" as being in milliseconds.

- -

o   "time" -fields cannot be used for alerting. The field serves to specify the timestamp -for the other fields in a ‘point’.

- -

o   The -"time" column can be in seconds (10 digits), milliseconds (13 -digits), or microseconds (16 digits). Timestamps must follow unix-time (epoch -time) conventions.

- -

§  "time_precision" -should be submitted when using a timestamp precision that isn’t millisecond. -"time_precision" is a url query parameter, and -must be set to "s" (for seconds), "ms" (for milliseconds), -or "u" (for microseconds).

- -

§  Example: -myServer.com:8086/db/statsagg/series?u=saUser&p=saPW&time_precision=u

- -

·         -The "sequence_number" column is -ignored by StatsAgg (other than preserving it for outputting).

- -

·         -If the "Authorization" field is -present in the HTTP header, then StatsAgg will preserve that information for -outputting to an InfluxDB server.

- -

·         -Boolean ‘point’ fields are treated as numeric -(so StatsAgg can alert on them). ‘true’ will be turned into a 1, and ‘false -will be turned into a 0.

- -

·         -Any ‘point’ that has non-numeric field, then -that field is treated by StatsAgg as a ‘tag’. It will show up in the metric-key -of a metric, but it will not be a separate metric in StatsAgg.

- -

o   Exception -– if a ‘point’ contains exclusively non-numeric fields, then it is treated as a -unique metric. The value of such a metric is always ‘1’.

- -

·         -If a ‘point’ has more than one numeric field, -then each numeric field is treated as being a separate metric in StatsAgg. -These separate metrics will share the same tags, but will be listed in the -StatsAgg interface as separate metrics.

- -

o   If -these metrics are outputted to an InfluxDB database, they are outputted -together (as they were originally received).

- -

·         -When metric prefixes are used (set via the -StatsAgg application configuration file), the metric prefix is appended onto -the metric name.

- -

o   Example: -An InfluxDB prefix of "myPrefix" would result in a metric name like -"myPrefix.metric_1".
-
-

- -

3.5.2        -How StatsAgg represents InfluxDB metrics in the -WebUI

- -

To allow StatsAgg to match & alert off of any -combination of InfluxDB’s metric/tags, StatsAgg generates what it calls a -‘metric key’. StatsAgg will convert each numeric field in a ‘point’ into a -unique metric-key.

- -

 

- -

The ‘metric key’ format is:

- -

DatabaseName : MetricName : -MetricColumn : sorted-tag(s)

- -

 

- -

Using the example from the previous section, InfluxDB -metric-keys look like this:

- -

statsagg : hd_used : metric_1 : -"host"="serverA" "mount"="/mnt"

- -

statsagg : hd_used : metric_2 : -"host"="serverA" "mount"="/mnt"

- -

statsagg : hd_used : is_full : -"host"="serverA" "mount"="/mnt"

- -

 

- -

This allows StatsAgg users to write regular expressions -for ‘metric groups’ that can accommodate any combination of -database/name/column/tag(s).

- -

 

- -

Note – The concept of a ‘metric key’ stays internal to -StatsAgg. This field is not outputted anywhere (other than the StatsAgg WebUI).
-
-

- -

3.6       -Outputs Modules

- -

3.6.1        -Graphite

- -

StatsAgg can (optionally) output metrics to Graphite. -StatsAgg will transform any metric type that isn’t natively in the Graphite -format (ex- StatsD, OpenTSDB, InfluxDB) into Graphite metrics (keeping in mind -the limitations of Graphite’s format).

- -

 

- -

Notes:

- -

·         -The only metrics that are outputted are -‘aggregated’ metrics.

- -

o   In -the case of Graphite-Passthrough, OpenTSDB, and InfluxDB metrics, this simply -means that all metrics are sent to Graphite (though their metric-key may have -been slightly altered by StatsAgg).

- -

o   In -the case of ‘aggregated’ metrics (StatsD, Graphite-Aggregated), only the final -results of the aggregation are sent to Graphite.

- -

·         -After X connection attempt retries (by default, -X=2), StatsAgg will give up on trying to connect to Graphite. All metrics that -were queued to be sent to Graphite are permanently discarded.

- -

·         -After X retries (by default, X=2), StatsAgg will -give up on trying to send a ‘batch’ metrics to Graphite. Any metrics that -haven’t been outputted after the configured number of retries are permanently -discarded.

- -

o   A -‘batch’ means the aggregation window’s worth of StatsD metrics, -Graphite-Passthrough metrics, Graphite-Aggregation metrics, OpenTSDB, or -InfluxDB metrics. StatsAgg handles these different metric types on separate -threads, so for a given aggregation window, the ‘batches’ for StatsD metrics, -Graphite-Passthrough metrics, Graphite-Aggregation metrics, OpenTSDB, and -InfluxDB metrics are independent of each other.

- -

·         -If the connection between StatsAgg & -Graphite is slow, this could cause stability problems in StatsAgg. The -potential risk occurs when StatsAgg is receiving/processing/outputting metrics -at a faster rate than they can be sent to Graphite. Slowness on metric -transmission to Graphite could result in metrics building up in StatsAgg’s -memory, which could ultimately cause StatsAgg to experience degraded -performance (and possibly crash).

- -

o   Oftentimes -the network isn’t the problem, and Graphite’s ability to -receive/consume/process metrics is. If you have ample bandwidth between -StatsAgg & Graphite, but Graphite doesn’t seem to be keeping up, look into -optimizing your Graphite deployment.

- -

·         -When outputting OpenTSDB or InfluxDB metrics to -Graphite, tags are not outputted/preserved in any way.

- -

·         -When outputting to Graphite, StatsAgg can -(optionally) remove forbidden characters out of your metrics. The StatsAgg development -team recommends using this option as a safety mechanism to ensure that your -metrics reach Graphite & are capable of being queried.

- -

·         -When outputting InfluxDB metrics, StatsAgg will -default to outputting metric-paths in this format: (influxdb_databaseName).(influxdb_metricName).(influxdb_columnName)
-Outputting the InfluxDB database name can be disabled via a an application -configuration option.

- -

 

- -

3.6.2        -OpenTSDB

- -

StatsAgg can (optionally) output metrics to OpenTSDB. -StatsAgg will transform any metric type that isn’t natively in the OpenTSDB -format (ex- StatsD, Graphite, InfluxDB) into OpenTSDB metrics (keeping in mind -the limitations of OpenTSDB’s format).

- -

 

- -

Notes:

- -

·         -StatsAgg can output in via the OpenTSDB telnet -interface or the OpenTSDB HTTP interface.

- -

o   -The OpenTSDB HTTP interface is supported by -OpenTSDB 2.0+.

- -

o   -Generally speaking, the OpenTSDB telnet -interface will perform better & is less prone to errors.

- -

·         -StatsAgg will not make API calls to OpenTSDB in -to populate UIDs for metrics. This means that OpenTSDB will have to be ‘primed’ -by telling OpenTSDB all the metrics that will be sent to it ahead of time. -Alternatively, you can set the OpenTSDB variable ‘tsd.core.auto_create_metrics’ -to ‘True’ (which is not the default).

- -

o   -The StatsAgg development team recommends setting -the OpenTSDB variable ‘tsd.core.auto_create_metrics’ -to ‘True’.

- -

o   -See the OpenTSDB documentation for more -information.

- -

·         -By default, OpenTSDB’s HTTP interface cannot -handle chunked HTTP requests. StatsAgg’s OpenTSDB HTTP output module does not -have a configuration option for HTTP chunking, so HTTP requests sent from -StatsAgg to OpenTSDB could be chunked.

- -

o   -The StatsAgg development team recommends setting -the OpenTSDB variable ‘tsd.http.request.enable_chunked’ to ‘True’.

- -

o   -The StatsAgg development team recommends setting -the OpenTSDB variable ‘tsd.http.request.max_chunk’ to ‘32768’ (or larger).

- -

·         -The only metrics that are outputted are -‘aggregated’ metrics.

- -

o   -In the case of Graphite-Passthrough, OpenTSD, -and InfluxDB metrics, this simply means that all metrics are sent to OpenTSDB -(though their metric-keys may have been prefixed by StatsAgg).

- -

o   -In the case of ‘aggregated’ metrics (StatsD, -Graphite-Aggregated), only the final results of the aggregation are sent to -OpenTSDB.

- -

·         -After X connection attempt retries (by default, -X=2), StatsAgg will give up on trying to connect to OpenTSDB. All metrics that -were queued to be sent to OpenTSDB are permanently discarded.

- -

·         -Each metric in a ‘batch’ is sent to OpenTSDB -independently. Metrics that fail to send will be resent up to X times (by -default, X=2). If a metric fails to send after that, it is permanently -discarded.

- -

o   -A ‘batch’ means the aggregation window’s worth -of StatsD metrics, Graphite-Passthrough metrics, Graphite-Aggregation metrics, -OpenTSDB metrics, or InfluxDB metrics. StatsAgg handles these different metric -types on separate threads, so for a given aggregation window, the ‘batches’ for -StatsD metrics, Graphite-Passthrough metrics, Graphite-Aggregation metrics, -OpenTSDB, and InfluxDB metrics are independent of each other.

- -

·         -If the connection between StatsAgg & -OpenTSDB is slow, this could cause stability problems in StatsAgg. The -potential risk occurs when StatsAgg is receiving/processing/outputting metrics -at a faster rate than they can be sent to OpenTSDB. Slowness on metric -transmission to OpenTSDB could result in metrics building up in StatsAgg’s -memory, which could ultimately cause StatsAgg to experience degraded -performance (and possibly crash).

- -

o   -Oftentimes the network isn’t the problem, and -OpenTSDB’s ability to receive/consume/process metrics is. If you have ample -bandwidth between StatsAgg & OpenTSDB, but OpenTSDB doesn’t seem to be -keeping up, look into optimizing your OpenTSDB deployment.

- -

·         -The OpenTSDB spec mandates that all metrics have -at least one key=value tag. Graphite metrics & StatsD metrics do not have a -concept of ‘tag’, so StatsAgg adds a tag for them.

- -

o   -For Graphite metrics, StatsAgg adds a tag of -‘Format=Graphite’

- -

o   -For StatsD metrics, StatsAgg adds a tag of -‘Format=StatsD’

- -

o   -For InfluxDB metrics, when no tags exist for a -metric, StatsAgg adds a tag of ‘Format=InfluxDB’. If InfluxDB tag fields are -present, then they are outputted to OpenTSDB.

- -

·         -StatsAgg sorts OpenTSDB tags alphabetically as -it processes/stores them. As a result, when StatsAgg outputs a metric to -OpenTSDB, the tags will be ordered alphabetically. In other words, the tag -order may change. OpenTSDB should not care about this.

- -

·         -When outputting to OpenTSDB, StatsAgg can -(optionally) remove forbidden characters out of your metrics. The StatsAgg -development team recommends using this option as a safety mechanism to ensure -that your metrics reach OpenTSDB.

- -

·         -When outputting InfluxDB metrics, StatsAgg will -default to outputting metric name in this format: (influxdb_databaseName).(influxdb_metricName).(influxdb_columnName)
-Outputting the InfluxDB database name can be disabled via a an application -configuration option.

- -

 

- -

3.6.3        -InfluxDB 0.6x – 0.8x

- -

StatsAgg can -(optionally) output metrics to InfluxDB (versions 0.6x – 0.8x). StatsAgg will -transform any metric type that isn’t natively in the InfluxDB 0.6x-0.8x format -(ex- StatsD, Graphite, OpenTSDB) into InfluxDB metrics (keeping in mind the -limitations of InfluxDB’s format).

- -

 

- -

Notes:

- -

·         -Metrics that were sent in the InfluxDB format -will retain 100% of their format as they are passed through to InfluxDB. -Details like time_precision, database, username, password, etc will be -preserved.

- -

·         -Metrics that were sent in non-InfluxDB formats -(Graphite, OpenTSDB, StatsD, etc) are converted into InfluxDB format as closely -as possible.

- -

o   -Timestamps from non-InfluxDB formats will always -be sent to InfluxDB in with a time-unit of milliseconds.

- -

o   -The StatsAgg application configuration file -specifies fields for ‘default InfluxDB database, username, and password’. -Non-InfluxDB formats will output to the specified ‘default’ InfluxDB database, -with the specified ‘default’ username & password. Native InfluxDB metrics -will use whatever database/username/password combination that the metrics were -originally sent with.

- -

·         -Users must take care to create appropriate -‘databases’ inside of InfluxDB before sending metrics to InfluxDB. StatsAgg -will not create InfluxDB databases.

- -

·         -The only metrics that are outputted are -‘aggregated’ metrics.

- -

o   -In the case of Graphite-Passthrough, OpenTSD, -and InfluxDB metrics, this simply means that all metrics are sent to InfluxDB -(though their metric-keys may have been prefixed by StatsAgg).

- -

o   -In the case of ‘aggregated’ metrics (StatsD, -Graphite-Aggregated), only the final results of the aggregation are sent to -InfluxDB.

- -

·         -After X connection attempt retries (by default, -X=2), StatsAgg will give up on trying to connect to InfluxDB. All metrics that -were queued to be sent to InfluxDB are permanently discarded.

- -

·         -Each metric in a ‘batch’ is sent to InfluxDB -independently. Metrics that fail to send will be resent up to X times (by -default, X=2). If a metric fails to send after that, it is permanently -discarded.

- -

o   -A ‘batch’ means the aggregation window’s worth -of StatsD metrics, Graphite-Passthrough metrics, Graphite-Aggregation metrics, -OpenTSDB metrics, or InfluxDB metrics. StatsAgg handles these different metric -types on separate threads, so for a given aggregation window, the ‘batches’ for -StatsD metrics, Graphite-Passthrough metrics, Graphite-Aggregation metrics, -OpenTSDB, and InfluxDB metrics are independent of each other.

- -

·         -If the connection between StatsAgg & -InfluxDB is slow, this could cause stability problems in StatsAgg. The -potential risk occurs when StatsAgg is receiving/processing/outputting metrics -at a faster rate than they can be sent to InfluxDB. Slowness on metric -transmission to InfluxDB could result in metrics building up in StatsAgg’s -memory, which could ultimately cause StatsAgg to experience degraded -performance (and possibly crash).

- -

o   -Oftentimes the network isn’t the problem, and -InfluxDB’s ability to receive/consume/process metrics is. If you have ample -bandwidth between StatsAgg & InfluxDB, but InfluxDB doesn’t seem to be -keeping up, look into optimizing your InfluxDB deployment.

- -

4    Alerting

- -

One of the key reasons -StatsAgg was created was to provide a robust alerting mechanism for the various -metric formats.

- -

4.1       Alerting -overview

- -

StatsAgg offers two -kinds of alerts – ‘threshold’ and ‘availability’. Alerts can be configured in -the StatsAgg via the website interface.

- -

‘Availability alerts’ are triggered -when a ‘metric-key’ (a unique metric that is associated with the metric group) -stops reporting data points. Put another way, if StatsAgg stops receiving -metric values for a particular metric-key, then an alert can be triggered. -Receipt of a new data point for a ‘metric-key’ is the ‘positive alert’ criteria -for the availability alerts.

- -

 

- -

Threshold -alerts’ are triggered when the value of an individual metric-key is -above/below/equal-to a specified ‘threshold’ value. The values of a metric-key -that fall within the ‘window duration’ are used for alerting consideration.

- -

 

- -

Alerts are -evaluated on an interval that is specified in the StatsAgg configuration file. -By default, the interval is every 5 seconds. When an alert is becomes active, -it displays its status through the website interface, and can (optionally) send -an email notification. Additional details about the alerts can be found here.
-
-

- -

4.2       How -does alerting work?

- -

The alert routine -is independent from all of the metric aggregation -routines (StatsD, Graphite-Passthrough, Graphite-Aggregated, OpenTSDB, -InfluxDB). It runs periodically (the period can be changed in the application -configuration file). When it executes, it will typically go through the -following steps:

- -

1.       Metric -association. This is the process of mapping metric-keys (Graphite metric-paths, -StatsD buckets, OpenTSDB metrics/tags, etc) to StatsAgg ‘Metric Groups’.

- -

a.       This -process can be CPU intensive if StatsAgg receives a large burst of metric-keys -that it hasn’t seen before.

- -

b.       Only -new/fresh metrics go through metric association. Metrics that haven’t been seen -in a long time, or only exist in the metric storage engine (Graphite, OpenTSDB, -etc) will not be associated with ‘metric groups’ until a new data point -arrives.

- -

2.       Determine -what alerts are "suspended". This maps StatsAgg ‘Suspensions’ to -StatsAgg ‘Alerts’. If an alert is suspended, StatsAgg will not perform some (or -all) of the remaining routines on a particular alert.

- -

3.       Determine -which StatsAgg ‘alerts’ are in a triggered state. Caution & Danger alert -statuses are evaluated at this stage. Alerts that are in a triggered state are -marked as such.

- -

a.       Alerts -are triggered ONLY when the criteria for triggering them is met. In the absence -of any data that indicates that an alert should be in a triggered state, the -alert will be in a not-triggered state.

- -

b.       In -other words, alerts trigger on the premise of ‘innocent until proven guilty’.

- -

                                                               -i.      -For threshold alerts, absent of evidence of -guilt (datapoints that match the alert criteria) counts as proof of innocence.

- -

                                                             -ii.      -For availability alerts, absence of ANY evidence -(datapoints) can prove guilt (assuming the criterion is met).

- -

4.       Send -notifications via email. When appropriate (based on an alert’s configuration), -emails are sent out to the recipients that are specified in the alert’s -‘Notification Group’.

- -

a.       Caution -& Danger notifications are treated as being completely independent from -each other.

- -

b.       If -an alert is ‘acknowledged’, it will not be ‘resent’ (even if ‘resend after…’ is -set).

- -

5.       Output -alert status metrics. StatsAgg can be configured to output the status of all -alerts to Graphite.
-Note: when an alert’s name has characters that don’t translate well into -Graphite’s naming convention, StatsAgg may try to reformat the alert-name. -Also, the ‘metric-path’ in Graphite will have a unique identifier at the end of -it. This was done to guarantee that no two alerts are capable of outputting to -the same metric-path in Graphite (which could otherwise happen as a result of -StatsAgg’s metric-path renaming).
-Here is the alert-status key:

- -

a.       0 -= alert not triggered

- -

b.       1 -= caution triggered

- -

c.       2 -= danger triggered

- -

d.       3 -= caution & danger triggered 

- -

6.       Update -global variables. After everything else has finished, the results of the alert -routine are made available to the rest of the application. ‘Metric group -associations’, ‘alert triggered statuses’, etc are now capable of being viewed -in the WebUI.

- -

a.       -A larger ‘alert routine execution frequency’ -will result in increased WebUI lag for ‘Alerts’, ‘Metric Groups’, etc.
-
-

- -

4.3       What -happens to triggered alerts when StatsAgg is restarted?

- -

When StatsAgg is -restarted, StatsAgg will handle alerts as follows:

- -

·         -Threshold alerts that were in a triggered state -before the restart will go into a status of ‘pending’. This gives them time to -evaluate their status before erroneously firing ‘positive alert’ emails. A -threshold alert will get out of ‘pending’ status when one of the following -criteria is met:

- -

o   StatsAgg -has received enough new data points to determine that the alert is still in a -‘triggered’ status. No email notifications will be sent in this case. 

- -

§  This -is only evaluated for ‘Threshold’ alerts.

- -

o   StatsAgg -has been running for at least ‘window duration’ seconds, and the alert has not -re-entered a ‘triggered’ status. The alert will no longer be triggered & a -‘positive alert’ notification will be send (if configured).

- -

o   StatsAgg’s -configuration file has a ‘max pending’ time. If this timeout is reached & -the alert is not in a ‘triggered’ condition, then the alert will no longer be -triggered & a ‘positive alert’ notification will be send (if configured).

- -

·         -Availability alerts pick-up exactly where they -left off. There is no ‘pending’ status for an availability alert.

- -

·         -All metric-keys must be re-associated with all -‘metric groups’. This is done as new metric-keys arrive into StatsAgg. This can -be a slow/heavy process if a lot of unique metrics-keys are sent to StatsAgg, -so it may take a little while (seconds to minutes) for all metric-keys to -become associated with all ‘metric groups’.

- -

·         -StatsAgg does not currently store/retain the -datapoints that were in memory prior to the restart, nor does it retrieve them -from any external datasource (ie - Graphite). After a restart, the only -datapoints that are considered for alerting are whatever new datapoints arrive.
-
-

- -

4.4       Notes

- -

·         -The alert routine runs in a separate thread from -the other ‘aggregation’ routine threads. In other words, alert evaluation is -NOT performed as part of the StatsD, Graphite, and OpenTSDB metric aggregation -routines.

- -

·         -StatsAgg -does not query metric-storage engines for data points. Put another way, -StatsAgg can only alert on what flows through it.

- -

·         -StatsAgg -aggressively removes unneeded data points from memory. If a metric data -point is not needed by an alert, then it is removed from memory within a few -seconds. Furthermore, StatsAgg will not try to load data points into memory -from metric storage engines – even if an alert and/or ‘metric group’ is created -that says that it needs the last X seconds of data for that metric. The alert -and/or ‘metric group’ will only react to data points that arrive after the alert and/or ‘metric group’ -were created.

- -

·         -For -StatsD & Graphite-Aggregated metrics, alert evaluation is only performed on -aggregated metrics.

- -

o   -Example: If you send 4000 StatsD gauge metrics -during a single ‘flush interval’ (which is 10secs, by default), then StatsAgg -will only use the final aggregated value of those 4000 gauges for alert -evaluation.

- -

o   -Since Graphite-Passthrough & OpenTSDB -metrics are not aggregated, every single individual data point is used for -alert evaluation.

- -

5    Administrative -Website User Interface

- -

5.1       -Normal ‘path’ through the website

- -

Once data is -being fed into StatsAgg, you may want to alert on it. This section describes -the general path through the website to create an alert.
-
-

- -

1.       Create -a ‘notification group’. ‘Notification groups’ are simply a list of email -addresses that alerts get sent to. If you do not want/need StatsAgg to send -email alerts, then you can ignore ‘notification groups’ entirely.

- -

2.       Create -a ‘metric group’. This ‘metric group’ should have regular expressions that -match against whatever metric-keys you’re interested in alerting on. If you -which, you can also ‘tag’ your ‘metric group’.

- -

3.       Create -an alert. When you create an alert, it ties into a single ‘metric group’. This -allows you to alert on whatever values are associated with the ‘metric group’. -A single ‘metric group’ can be used by many alerts, but an alert can only be -linked with a single ‘metric group’.

- -

4.       Create -a suspension. Suspensions allow you to temporarily disable alerting. If you -don’t need to suspend alerts, then you can ignore suspensions entirely.

- -


-The remains subsections go into greater detail about how to create & -configure ‘notification groups’, ‘metric groups’, alerts, and suspensions.
-
-

- -

5.2       Common -UI components

- -

 

- -

Tables

- -

·         -All tables in the StatsAgg UI are generated -server-side. On each page load, entire table is sent to the client, and -Javascript is used for pagination, filtering, etc.

- -

·         -If a table appears to be mangled, try clearing -all StatsAgg related cookies in your browser.

- -

·         -StatsAgg will remember table customizations for -30days via a browser cookie.

- -

·         -For pages that contain tables, a ‘search’ can be -applied to the table via url parameters. The url parameter is ‘TableSearch’.

- -

o   For -example, if you wanted to display the ‘Alerts’ table, and you wanted to have -the table displayed with a search phrase already in the ‘search’ bar, then -you’d enter something like:
-http://127.0.0.1 /StatsAgg/Alerts?TableSearch=my+search+criteria

- -

 

- -

Sorting tables by column

- -

On a table, any column, or set of columns, can be used -for sorting. Sorting works by:

- -

·         -For the first column that you want to sort by, -click on the first column header that you want to sort by

- -

·         -For the second, third, etc columns that you want -to sort by, hold down shift & click on the second, third, etc column -header(s) that you want to sort by

- -

 

- -

 

- -

5.3       Metric Groups

- - - -

‘Metric Groups’ are a mechanism to tie together -individual metrics. Using regular expressions, you can group together any set -of metrics. You can then create an alert that alerts off of the metrics that -are associated with the metric group. A single ‘metric group’ can be associated -with any number of alerts.
-
-

- -

5.3.1        -Metric Groups table

- -

This table lists all current created ‘notification -groups’. Much of the functionality on this page speaks for itself, but some -functionality requires some explanation.

- -

 

- -

# Metric Associations

- -

·         -Altering a ‘metric group’ will erase all ‘metric -group associations’ with the ‘metric group’. As StatsAgg receives new metrics, -the ‘metric group associations’ for a ‘metric group’ will repopulate.

- -

·         -Individual metrics are associated with ‘metric -groups’ when the ‘alert routine’ is executed. That means that one should expect -a delay between when the metric is initially received by StatsAgg & when it -shows up as being associated with a metric group.

- -

·         -Any metric that has had a new data point within -the last 24hrs will show up as being ‘associated’ with a ‘metric group’. -Metrics that haven’t received any new data points for 24hrs will be ‘forgotten’ -by StatsAgg.

- -

 

- -

Clone

- -

Clicking this button clones the ‘metric group’. A new -‘metric group’ will be spawned with the same configuration. The only difference -is:

- -

·         -The new ‘metric group’ will be named -"previousMetricGroupName_#" (where # is some number that doesn’t -collide with another ‘metric group’ name).

- -

 

- -

Remove
-
A ‘metric group’ can’t be removed when it is associated with an alert. To -make a ‘metric group’ be capable of being removed, you must delete or alter all -alerts that are associated with it.
-
-

- -

5.3.2        -Create -Metric Group

- -

Name (required): -A unique name for this metric group. Other than uniqueness, the only limitation -is that it must be under 500 characters long.

- -


-Description (optional): A description -of the metric group. Avoid descriptions longer than 1000000 characters.

- -


-Regular Expressions (required): -These are regular expressions that are used to tie individual metrics to the -‘metric group’. If a metric matches any one of the provided regular -expressions, then it is considered to be ‘associated’ with the ‘metric group’. -If using multiple regular expressions, put each regular expression on a -separate line in the textbox. For performance reasons, try to use as few -regexes as possible, and try to write them as efficiently as possible.

- -

 

- -

Blacklist Regular -Expressions (optional): These -are regular expressions that nullify metrics that were matched by the previous -‘regular expressions’ field. Any metric is matched by a ‘blacklist regular -expression’ will not be associated with the ‘metric group’. If using multiple -‘blacklist regular expressions’, put each blacklist regular expression on a -separate line in the textbox. The purpose of this field is to give users an -easy way to say "I want to match these metrics… except I don’t want to -match these metrics".

- -

 

- -

The regular expression format is Java Regex, and the -‘matches’ method is used.

- -

For more information, visit…

- -

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#matches--

- -

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

- -

 

- -

Tags (optional): -Metric groups can be ‘tagged’. Tags allows for convenient filtering in the -various tables on the StatsAgg web user-interface. Alerts can also be suspended -by metric group tags.

- -

 

- -


-Notes:

- -

·         -Hitting ‘Preview’ for the ‘regular expressions’ -field will show regular expression matches using all the metrics that StatsAgg -is currently aware of. ‘Blacklist regular expressions’ are not taken into -consideration when hitting this button.

- -

·         -Hitting ‘Preview’ for the ‘blacklist regular -expressions’ field will show the regular expression matches from the ‘regular -expressions’ field, but filtering out any metrics that match a ‘blacklist -regular expression’. The results from this ‘preview’ button are reflective of -what the final matches will be when the ‘metric group’ is created or altered.
-
-

- -

5.4       -Notification Groups

- -

5.4.1        -Notification Groups table

- -

This table lists all current created ‘notification -groups’. Much of the functionality on this page speaks for itself, but some -functionality requires some explanation.

- -

 

- -

Clone

- -

Clicking this button clones the ‘notification group’. A -new ‘notification group’ will be spawned with the same configuration. The only -difference is:

- -

·         -The new ‘notification group’ will be named -"previousNotificationGroupName_#" (where # is some number that doesn’t -collide with another ‘notification group’ name).

- -

 

- -

Test

- -

Clicking on ‘test’ will send an email to all the members -of the ‘notification group’. This functionality works regardless of whether the -alert-routine is configured to send emails. The only requirement for this -functionality to work is that the SMTP settings in the StatsAgg configuration -file need to be valid. Emails will only be sent to email addresses that are -properly formatted.

- -

 

- -

Remove
-
A ‘notification group’ can’t be removed when it is associated with an -alert. To make a ‘notification group’ be capable of being removed, you must -delete or alter all alerts that are associated with it.

- -

 

- -

5.4.2        -Create -Notification Group

- -

Name (required): -A unique name for this ‘notification group’. Other than uniqueness, the only -limitation is that it must be under 500 characters long.

- -


-Email addresses (optional): A common -separated list of email addresses.
-
-

- -

5.5       -Alerts

- -

5.5.1        -Alerts table

- -

This table lists all current created alerts. Much of the -functionality on this page speaks for itself, but some functionality requires -some explanation.

- -

 

- -

Colored rows

- -

Red: Danger alert is -currently active & not suspended

- -

Caution: Caution alert -is currently active & not suspended

- -

Blue: Either a caution -or danger alert is currently suspended. Also, blue can indicate that StatsAgg -was recently restarted & the alerting mechanism hasn’t determined whether a -caution or danger alert that was active prior to the restart is still triggered -after the restart.

- -

 

- -

Clone

- -

Clicking this button clones the alert. A new alert will -be spawned with the same configuration. The only differences are:

- -

·         -The new alert will be named -"previousAlertName_#" (where # is some number that doesn’t collide -with another alert name).

- -

·         -The state of the alert will not be cloned. That -means that triggered/not-triggered, acknowledged/unacknowledged, last alert -send time, etc are not cloned.

- -

 

- -

Remove
-
An alert can’t be removed when it is associated with a suspension. To make -an alert be capable of being removed, you must delete or alter all suspensions -that are associated with it.

- -

 

- -

Acknowledge/Unacknowledge

- -

Alerts can be ‘acknowledged’ when they are in a -‘triggered’ state. This is done so that StatsAgg users can know that someone -(hopefully the recipient of the notification group’s email notification) has -seen that the alert is in a triggered state & is looking into the cause. -When alerts are ‘acknowledged’, this disables resending of email notifications -(even if resending is enabled).
-
-

- -

5.5.2        -Create Alert

- -

Core Alert -Criteria

- -

 

- -

Name (required): -A unique name for this alert. Other than uniqueness, the only limitation is -that it must be under 500 characters long.

- -

 

- -

Description -(optional): A description of the alert. Avoid descriptions longer than -1000000 characters.

- -

 

- -

Metric group name -(required): The ‘metric group’ that this alert is associated with. Alerts -*must* be paired with ‘metric groups’, but multiple alerts can be associated -with the same ‘metric group’. Alerts are only capable of alerting on metric-keys -that are associated with the alert’s ‘metric group’.

- -

 

- -

Alert type -(required): Availability, Threshold

- -

Availability: -‘Availability alerts’ are triggered when a ‘metric-key’ (a unique metric that -is associated with the metric group) stops reporting data points. Put another -way, if StatsAgg stops receiving metric values for a particular metric-key (no -new data points for the last ‘window duration’ seconds), then an alert will be -triggered. Receipt of a new data point for a ‘metric-key’ is the ‘positive-alert’ -criteria for the availability alerts. Please note that the metrics generated by -the ‘resend metrics’ options do not count as new data points (from the -perspective of the availability alert logic).

- -

 

- -

Threshold: -‘Threshold alerts’ are triggered when the value of an individual metric-key is -above/below/equal-to a specified ‘threshold’ value. The values of a metric-key -that fall within the ‘window duration’ are used for alerting consideration.

- -

 

- -

Is alert enabled? -(required): If you want the alert to be enabled right away after creation -or alteration, then check this checkbox. When an alert is disabled, caution -& danger alerts will not fire (they are not even evaluated).

- -

 

- -

Is caution -alerting enabled? (required): When caution alerting is disabled, caution alerts -will not trigger (they are not even evaluated).

- -

 

- -

Is danger alerting -enabled? (required): When danger alerting is disabled, danger alerts will -not trigger (they are not even evaluated).

- -

 

- -

Alert on positive? -(required): If this is checked, alerts that change states from ‘triggered’ -to ‘not triggered’ will send an email notification to the notification group’s -recipients.

- -

 

- -

Resend alert? -(required): If this is checked, alerts that are in a ‘triggered’ state will -send a new notification to the notification group’s recipients after the -specified amount of time. The new notification will reflect whatever metrics -are currently resulting in the alert to be triggered (not just whatever was in -the original email notification). Note— if an alert has been acknowledged, then -notifications will not be resent (regardless of whether ‘resend alert’ is -enabled).

- -

 

- -

Resend alert every -(optional): If ‘resend alert?’ is enabled, then alerts in a ‘triggered’ -state will send a new notification to the notification group’s recipients after -the amount of time specified by this option.

- -

 

- -

 

- -

Caution/Danger -Criteria

- -

 

- -

Notification group -name (optional): The ‘notification group’ that is associated with the -alert. Alerts that are triggered will be sent to the members of this -‘notification group’.

- -

 

- -

Positive -notification group name (optional): The ‘positive notification group’ that -is associated with the alert. Positive alerts will be sent to the members of -this ‘notification group’.

- -

 

- -

Window duration -(availability and threshold alerts): The ‘window duration’ is the amount of -time (between ‘now’ and ‘x time units ago’) that metrics values are allowed to -be considered for alerts. That is to say, if you specify that the ‘window -duration’ is 300 seconds, then the rest of the alert criteria variables will -only operate on metric values that have timestamps between ‘now’ and ‘300 -seconds ago’. You should set the value of ‘window duration’ to be at least one time-unit larger than the -metric transmission interval of the metrics associated with the alert (it is -often best to oversize ‘window duration’ by 25% or so to give it some slack).

- -

 

- -

Example:

- -

·         -If you send a new datapoint for a metric (ex - -‘myServer.cpu’) to StatsAgg once every 30 seconds, and you want to alert off -this metric with a ‘threshold alert’, then you would set the ‘window duration’ -to at least 31 seconds (but 45 -seconds or 1 minute would usually be better). If you set the ‘window duration’ -to something smaller than 30 seconds (ex- 29 seconds), then the alert could -flap between ‘triggered’ and ‘not-triggered’ because the alert criteria would -evaluating all the datapoints between ‘now’ and ‘29 seconds ago’, and a -datapoint from 30 seconds ago could fall outside of that window.
-
-

- -

Notes:

- -

·         -This field must be set to a value greater than -0.

- -

·         -To preserve StatsAgg resources, it is highly -recommended that you try to keep the window duration as small as possible.

- -

 

- -

Stop tracking -after (availability alerts only): For availability alerts, StatsAgg -requires that you eventually ‘give up’ on tracking a metric that hasn’t had any -new data points. This prevents StatsAgg from having to track metrics forever, -and prevents availability alerts from potentially being in a ‘triggered’ state -forever. ‘Stop tracking after’ is the amount of time that you will wait for a -new data point to show up for a metric before the availability alert ‘gives up’ -on looking for a new data point to show up. When an availability alert ‘gives -up’, it is treated as a positive alert, and the reason given will be that the -alert reached its ‘stop tracking time limit’.

- -

 

- -

Minimum sample -count (threshold alerts only): For a threshold-alert to be triggered, one -of its associated metric-key must have a minimum number of recent data points -within the ‘alert window duration’. For example, if the ‘alert window duration’ -is 300 seconds, and the ‘minimum sample count’ is 2, then an alert can only be -triggered if 2 or more metric values (of an individual metric-key) have been -received by StatsAgg during the last 300 seconds.

- -

 

- -

This field must be set to a value greater than 0. The -most commonly set value is 1.

- -

 

- -

Operator -(threshold alerts only): The values of a metric-key are considered for -threshold-based alerting when they are above/below/equal-to a certain -threshold. This value controls the above/below/equal-to aspect of the alert.

- -

 

- -

Combination (threshold alerts only): For a -threshold-alert, we must decide how -the values will be used for alert consideration. This variable asks: for the -metric values of a single metric-key that fall within the ‘alert window -duration’, what condition will cause the alert to be triggered? Is the average of the metric values above or -below the threshold? Are all metrics -values above or below the threshold? Is any -metric value above or below the threshold? Are 'at least' or 'at most' X metric -values above or below the threshold?

- -

 

- -

For example, say a metric-key has several values within -the ‘window duration’, and those values are ‘1, 3, 5, 7’. Let’s also say that -we have a threshold of ‘6’ & an operator of ‘less than’. What happens – did -we trigger the alert? Do we consider the average of those numbers? Do all of -them have to be less than 6?

- -

 

- -

The ‘combination’ field makes the user choose how the metric values are evaluated. One -can choose from ‘any value’, ‘all values’, the ‘average of the values’, ‘at -most X values’, or ‘at least X values’.

- -

 

- -

In the above example, if we choose ‘average’, then we’d -be saying "The average value of -the metric-key must be less than of 6". Since the average value is 4, the -alert would be triggered.

- -

 

- -

Combination count -(threshold alerts only): When one chooses a ‘combination’ of ‘at most X -values’ or ‘at least X values’, a count is required. The ‘combination count’ -refers to the number of independent metric values for a single metric-key that -fall within the ‘alert window duration’.

- -

 

- -

In the previous example of ‘1, 3, 5, 7’ < 6, if we -have a ‘combination’ of "at least" and a ‘combination count’ of 2, -then we’re effectively saying: "At least 2 metric-key values must be less -than 6". Since both 1, 3, and 5 are all less than 6, the alert would be -triggered.

- -

 

- -

This value must be greater than or equal to 0.

- -

 

- -

Threshold -(threshold alerts only): The ‘threshold’ is the value that is compared -against when deciding whether an alert is active or not.

- -

 

- -

For example, if an alert states that "At least 2 -metric-key values must be less than the value of 6", then the ‘threshold’ -in that alert is 6.

- -

 

- -

 

- -

Notes:

- -

·         -For an alert, one can set the ‘caution -criteria’, the ‘danger criteria’, both, or neither. StatsAgg does not require -that the caution or danger criteria be valid for an alert to be created. -However, if you want the alert to *do* something, then you should set some -valid alert criteria.

- -

·         -A good way to test alert criteria for validity -is to hit the ‘preview’ button. This will give you a preview of what the email -alert would look like. The wording of the email alerts was very carefully -chosen to give readers a ‘plain english’ version of the alert criteria.

- -

·         -When an alert is triggered by one or more -metrics, a single notification is sent to the receipts listed in the alert’s -‘notification group’. StatsAgg does not currently have the capability of -alerting on each metric-key that tripped the alert separately.

- -

·         -Each metric-key that is associated with the -alert’s ‘metric group’ is individually considered for triggering the alert. The -data points from different metric-keys are never aggregated together. For -example, say that we have ‘combination’ set to "average":

- -

MetricSeries1 values: 1 2 3 4 -5   -- avg = 3

- -

MetricSeries2 values: 1 1 1 1 -1   -- avg = 1

- -

If the alert’s criterion says to -alert when the average value is greater than 2, then ‘MetricSeries1’ will -trigger the alert, but ‘MetricSeries2’ won’t. In the notification email, only -‘MetricSeries1’ will be mentioned.

- -

 

- -

5.6       -Suspensions

- -

5.6.1        -Suspensions table

- -

This table lists all current created suspensions. Much of -the functionality on this page speaks for itself, but some functionality -requires some explanation.

- -

 

- -

Colored rows

- -

Blue: The suspension -is currently active.

- -

 

- -

5.6.2        -Create -Suspension

- -

Options

- -

 

- -

Name (required): -A unique name for this suspension. Other than uniqueness, the only limitation -is that it must be under 500 characters long.

- -

 

- -

Description -(optional): A description of the suspension. Avoid descriptions longer than -1000000 characters.

- -

 

- -

Is enabled? -(required): If you want the suspension to be enabled after creation or -alteration, then check this checkbox. When a suspension is disabled, the -suspension won’t be able to suspend any caution or danger alerts.

- -

 

- -

Suspend -notification only? (required): When checked, suspended alerts still -evaluate their alert criteria (and display the caution/danger triggered status -on the StatsAgg WebUI); they just don’t send out emails alerts. When unchecked, -suspended alerts will not be evaluated at all. The most common approach is to -have this field checked. Note – this option is not available for a ‘metric -suspension’.

- -

 

- -


-Suspend by…

- -

 

- -

Alert name -(optional): If you want to suspend a single alert, then suspend it by alert -name.

- -

 

- -

Tags (optional): If -you want to suspend a group of alerts that have one or more tags in common, -then suspend by tags. For an alert to be suspended, it must be tagged with -every tag specified in the suspension. Only put one tag per line in the ‘tags’ -textbox.

- -

 

- -

Example: if the suspension suspends by tags, with tags: "tag1", -"tag2", "tag3"…

- -

·         -Alert_1 (tags: "tag1", -"tag2", "tag3") – meets suspension criteria

- -

·         -Alert_2 (tags: "tag1", -"tag2") – does not meet suspension criteria

- -

·         -Alert_3 (tags: "tag1", -"tag2", "tag3", "tag4") – meets suspension -criteria

- -

 

- -

Everything -(optional): If you want to suspend ALL alerts, except for a select few, -then select this option. For an alert to be spared from suspension, it must be -tagged with at least one of the tags specified in the suspension. Only put one -tag per line in the ‘everything’ textbox.

- -

 

- -

Example: if the suspension suspends by everything, with tags: "tag1", -"tag2", "tag3"…

- -

·         -Alert_1 (tags: "tag1", -"tag2", "tag3") – meets suspension criteria

- -

·         -Alert_2 (tags: "tag3") – meets -suspension criteria

- -

·         -Alert_3 (tags: "tag4") – does not -meets suspension criteria

- -

 

- -

Metrics -(optional): Unlike all other ‘suspend by’ fields, this ‘metrics’ does not -suspend alerts. Instead, choosing ‘metrics’ will all one to suspend all metrics -(that match the regexes specified) from being considered by ANY alert. This -sort of suspension can be useful if you want to suspend a set of metrics that -span multiple alerts, but aren’t adequately covered by alert tags. Note that -this only prevents metrics from alerting. This does not prevent metrics from -entering StatsAgg, being associated with ‘metric groups’, and being outputted -to the various datastores that StatsAgg supports.

- -

 

- -

Example:

- -

·         -‘Suspend by’: ‘metrics’ & enter a regex of .*123.*

- -

·         -Wait until the suspension is active…

- -

·         -Alerts would not be allowed to consider metrics -with 123 in the metric-key for -alerting.

- -

 

- -


-Suspension Type…

- -

 

- -

Recurring (daily): -This suspension type means that the suspension recurs every day. The suspension -will be active starting at whatever is specified in ‘Start Time’, and will -expire after ‘duration’ minutes.
-
-

- -

One Time: This -suspension type means that the suspension is only ever used once. Once the -suspension is complete, it will self-delete. The suspension will be active -starting at whatever is specified in ‘Start Date/Time’, and will expire after -‘duration’ minutes.

- -


-Start Date: Recurring ‘suspensions’ -are only active on or after the date specified in this field.

- -

The format is: MM/dd/yyyy

- -

Example: 03/23/2014

- -

 

- -

Recurs on -(‘recurring’ suspensions only): Recurring suspensions are active only on -the days specified by ‘recurs on’. This can be used for cases such as "we -have maintenance only on Wednesday nights, so we only want to suspend alerts on -Wednesday night". In a case like this, you would put a check next to ‘W’ -(and no other boxes).

- -

 

- -

Start Time: -What time does the ‘suspension’ become active?

- -

The format is: h:mm a.

- -

Example: 9:23 AM

- -

 

- -

Duration: -Specifies the amount of time that the suspension remains active. This must be a -positive value. For recurring a suspension, duration must be less than or equal -to 1440 minutes (one day).

- -

 

- -

 

- -

Notes

- -

·         -If a suspension becomes active on a particular -day, and the specified duration takes it into the next day, then the suspension -will continue to remain active (until ‘duration’ minutes have passed). This -happens regardless of whether the ‘recurs on’ field allows suspensions on the -‘next day’ or not.

- -

·         -The ‘Preview Suspension Associations’ button -next to ‘Suspend By…’ can be used to determine if your suspension rule is -suspending the alert(s) that you want to suspend.

- -

 

- -

5.7       -Regex Tester

- -

If you want to see what metrics StatsAgg is currently -aware of (seen in the last 24 hours), then you can use free-form regular -expressions to view the list of known metrics.

- -

 

- -

Note: regular expressions are matched against aggregated metrics. For example, if they -are StatsD metrics, then you should expect to metrics with keys like originalMetricName.sum. Also, if metric -prefixes and/or suffixes were used, then they will also be matched against.

- -

 

- -

The regular expression format is Java Regex, and the -‘matches’ method is used.

- -

For more information, visit…

- -

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#matches--

- -

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

- -

 

- -

5.8       -Metric Alert Associations

- -

If you want to see what alerts that are associated with -the current metrics that StatsAgg is aware of (seen in the last 24 hours), then -you can use free-form regular expressions to match against the metrics, and any -alerts that are associated with matched metrics will be displayed.

- -

 

- -

For example,

- -

·         -Search for:
-.*cpu

- -

·         -This may match several metrics:
-myServer1.cpu
-myServer2.cpu
-myServer3.cpu
-…

- -

·         -If there is an alert / metric-group combination -that is looking for ‘myServer1.cpu’, and that alert name is ‘MyServer1 CPU % -Alert’, then you will see ‘MyServer1 CPU % Alert’ listed in the results of this -page

- -

·         -If there is an alert / metric-group combination -that is looking for ‘.*cpu’, and that alert name is ‘All Servers CPU % Alert’, -then you will see ‘All Servers CPU % Alert’ listed in the results of this page
- 

- -

Note: regular expressions are matched against aggregated metrics. For example, if they -are StatsD metrics, then you should expect to metrics with keys like originalMetricName.sum. Also, if metric -prefixes and/or suffixes were used, then they will also be matched against.

- -

 

- -

The regular expression format is Java Regex, and the -‘matches’ method is used.

- -

For more information, visit…

- -

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#matches--

- -

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

- -

 

- -

5.9       -Forget Metric(s)

- -

‘Forget Metric(s)’ is a way of telling StatsAgg to -completely forgot about a metric-key & all its values. Everything that -there is to know about the metric key is wiped out.
-
-Examples of when you would want to use this:

- -

·         -You have StatsD metrics that are constantly -sending their last seen value (like gauges), or are sending 0s (like timers, -counters, etc). If you don’t care about these metric-keys anymore, then -‘forgetting’ them will have StatsAgg stop sending values for them.

- -

·         -You have an alert that is triggered based off of -criteria that you know is no longer true. A quick way of clearing the -alert-status could be to ‘forget’ the metric-key(s) that are triggering the -alert.

- -

 

- -

On the ‘forget metric(s)’ page, you can either forget a -single metric-key, or forget several (via a regex). If you enter values for -both fields, then both fields will be evaluated.
-
-

- -

Note: regular expressions are matched against aggregated metrics. For example, if they -are StatsD metrics, then you should expect to metrics with keys like originalMetricName.sum. Also, if metric -prefixes and/or suffixes were used, then they will also be matched against.

- -

 

- -

The regular expression format is Java Regex, and the -‘matches’ method is used.

- -

For more information, visit…

- -

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#matches--

- -

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

- -

 

- -

5.10  Output -Blacklist

- -

‘Output Blacklist’ is a mechanism to prevent metrics from -being outputted by StatsAgg.

- -

For this to work, one must create -a metric group. Once the ‘metric group’ is created, the ‘metric group’ can -be associated with the ‘output blacklist’. Once associated, any metric that is -associated with the ‘metric group’ will be blacklisted from being outputted to -all output modules (Graphite, OpenTSDB, InfluxDB, etc).

- -

Example usage: bad/stupid tool is sending junk metrics. To -avoid storing them permanently in in Graphite/OpenTSDB/etc, we use the ‘output -blacklist’ in StatsAgg.
-
-

- -

5.11  Metric -Benchmark

- -

The page is used to benchmark the regular expressions used -by Metric Groups & Metric Suspensions.

- -

StatsAgg’s performance, especially after a reboot, can be -affected by the ‘heaviness’ of the regular expressions found in metric groups -& (some) suspensions. It’s not always obvious how heavy a regular -expression is, and finding which ones are the heaviest is even harder when -StatsAgg is loaded with thousands of metric groups.

- -

This page works by picking a random sampling of N metrics -(where you input the value of N) that are known to StatsAgg. All metric group -& suspension regular expressions are run against the subset of metrics -& timed. After running all regexes against the subset of metrics, the -heaviest regexs are returned (in descending order).

- -

The accuracy of the benchmark is roughly proportional to the -number of metrics that the regexes are tested against. As a starting point, a -metric subset of 50000 metrics can usually provide a good baseline (without -running for too long).
-
-

- -

5.12  Alerts -Report

- -

The ‘Alerts Report’ page is a rollup of several other pages -into a single view (Alerts, Metric Groups, Notification Groups). The spirit of -it is to give those that want as many details about what goes into an alert as -possible, which can be useful when reviewing alerts, auditing, etc. There is no -information on this page that cannot be found elsewhere in the application.
-
-

- -

5.13  Health -Check

- -

StatsAgg exposes a health-check page @ /HealthCheck

- -


-Under normal circumstances, the health-check page should return some -information about StatsAgg, and a status code of HTTP 200.

- -

 

- -

StatsAgg will return HTTP 500 on the health-check page -when one of the following criteria is met:

- -

·         -Failure on connecting to the database.

- -

·         -Application initialization has failed. Many -conditions can lead to this (failure to initialize the logging library, failure -to start the StatsD and/or Graphite server listeners, etc).

- -

6    -The Json API

- -

6.1       -/api/alert-create

- -

 

- -

Url: /api/alert-create

- -

 

- -

Purpose: Create & modify alerts.
-
-

- -

Type: HTTP POST
-
-

- -

Json body field descriptions:

- -

·         -id – The ‘alert id’. Specify if you want to -alter an existing alert (as opposed to creating a new alert). Type: Number

- -

·         -name – The ‘name’ field @ here. -Type: String

- -

·         -description – The ‘description’ field @ here. -Type: String

- -

·         -metric_group_name – The ‘metric group name’ -field @ here. -Type: String

- -

·         -alert_type – The ‘alert type’ field @ here. -Type: String

- -

·         -enabled – The ‘is alert enabled?’ field @ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -caution_enabled – The ‘is caution alerting -enabled?’ field @ here. Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -danger_enabled – The ‘is danger alerting -enabled?’ field @ here. Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -alert_on_positive – The ‘alert on positive’ -field @ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -allow_resend_alert – The ‘resend alert?’ field @ -here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -resend_alert_every – The numeric field of the -‘resend alert every’ field @ here. Ex- for "resend an alert every 4 -minutes", the value of this field would be 4. Type: Number

- -

·         -resend_alert_every_time_unit – The time unit of -the ‘resend alert every’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, -‘Hours’, or ‘Days’. Type: String

- -

·         -caution_notification_group_name – The ‘caution -notification group name’ field @ here. Type: String

- -

·         -caution_positive_notification_group_name – The -‘caution positive notification group name’ field @ here. -Type: String

- -

·         -caution_minimum_sample_count – The ‘caution -minimum sample count’ field @ here. Type: Number

- -

·         -caution_operator – The ‘caution operator’ field -@ here. -Valid values: ‘<’, ‘>’, ‘<=’, ‘>=’, ‘=’. Type: String

- -

·         -caution_combination – The ‘caution combination’ -field @ here. -Valid values: ‘Any’, ‘All’, ‘Average’, ‘At least’, ‘At most’. Type: String

- -

·         -caution_combination_count – The ‘caution -combination count’ field @ here. Type: Number

- -

·         -caution_threshold – The ‘caution threshold’ -field @ here. -Type: Number

- -

·         -caution_window_duration – The numeric field of -the ‘caution window duration’ field @ here. Ex- for "a window duration of 4 -minutes", the value of this field would be 4. Type: Number

- -

·         -caution_window_duration_time_unit – The time -unit of the ‘caution window duration’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, -‘Hours’, or ‘Days’. Type: String

- -

·         -caution_stop_tracking_after – The numeric field -of the ‘caution stop tracking after’ field @ here. Ex- for "stop tracking a metric after -4 minutes", the value of this field would be 4. Type: Number

- -

·         -caution_stop_tracking_after_time_unit – The time -unit of the ‘caution stop tracking after’ field @ here. -Valid values: ‘Seconds’, ‘Minutes’, ‘Hours’, or ‘Days’. Type: String

- -

·         -danger_notification_group_name – The ‘danger -notification group name’ field @ here. Type: String

- -

·         -danger_positive_notification_group_name – The -‘danger positive notification group name’ field @ here. -Type: String

- -

·         -danger_minimum_sample_count – The ‘danger -minimum sample count’ field @ here. Type: Number

- -

·         -danger_operator – The ‘danger operator’ field @ here. -Valid values: ‘<’, ‘>’, ‘<=’, ‘>=’, ‘=’. Type: String

- -

·         -danger_combination – The ‘danger combination’ -field @ here. -Valid values: ‘Any’, ‘All’, ‘Average’, ‘At least’, ‘At most’. Type: String

- -

·         -danger_combination_count – The ‘danger -combination count’ field @ here. Type: Number

- -

·         -danger_threshold – The ‘danger threshold’ field -@ here. -Type: Number

- -

·         -danger_window_duration – The numeric field of -the ‘danger window duration’ field @ here. Ex- for "a window duration of 4 -minutes", the value of this field would be 4. Type: Number

- -

·         -danger_window_duration_time_unit – The time unit -of the ‘danger window duration’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, -‘Hours’, or ‘Days’. Type: String

- -

·         -danger_stop_tracking_after – The numeric field -of the ‘danger stop tracking after’ field @ here. Ex- for "stop tracking a metric after -4 minutes", the value of this field would be 4. Type: Number

- -

·         -danger_stop_tracking_after_time_unit – The time -unit of the ‘danger stop tracking after’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, -‘Hours’, or ‘Days’. Type: String

- -


-Notes:

- -

·         -Modifying an alert will replace everything about -the alert with the new fields for the alert. This applies to ALL fields; not just those specified. -For example, with this API, you can’t update the ‘caution_threshold’ field -without posting all the other fields.

- -

·         -If ‘id’ is specified, then that tells this API -that an alert of the specified id will be modified with the specified values.

- -

·         -‘metric_group_id’ can be used in place of -‘metric_group_name’. If both are specified, then ‘metric_group_name’ will be -used.

- -

·         -‘caution_notification_group_id’ can be used in -place of ‘caution_notification_group_name’. If both are specified, then -‘caution_notification_group_name’ will be used.

- -

·         -‘caution_positive_notification_group_id’ can be -used in place of ‘caution_positive_notification_group_name’. If both are -specified, then ‘caution_positive_notification_group_name’ will be used.

- -

·         -‘danger_notification_group_id’ can be used in -place of ‘danger_notification_group_name’. If both are specified, then -‘danger_notification_group_name’ will be used.

- -

·         -‘danger_positive_notification_group_id’ can be -used in place of ‘danger_positive_notification_group_name’. If both are -specified, then ‘danger_positive_notification_group_name’ will be used.

- -


-Example request POST body:

- -

{

- -

    -"id": 944,

- -

    -"name": "Firewall Disk Space",

- -

    -"description": "Send an alerts -when firewall disk space is low. Send a caution alert when disk space is -greater than 50%. Send a danger alert when disk space is greater than or equal -to 90%.",

- -

    -"metric_group_name": "Firewall Disk Space",

- -

    -"alert_type": "Threshold",

- -

    -"enabled": true,

- -

    -"caution_enabled": true,

- -

    -"danger_enabled": true,

- -

    -"alert_on_positive": true,

- -

    -"allow_resend_alert": true,

- -

    -"resend_alert_every": 2,

- -

    -"resend_alert_every_time_unit": "Hours",

- -

    -"caution_notification_group_name": "Firewall Team -Oncall",

- -

    -"caution_positive_notification_group_name": "Firewall -Team",

- -

    -"caution_minimum_sample_count": 2,

- -

    -"caution_operator": ">",

- -

    -"caution_combination": "Any",

- -

    -"caution_threshold": 50,

- -

    -"caution_window_duration": 4,

- -

    -"caution_window_duration_time_unit": "Minutes",

- -

    -"danger_notification_group_name": "Firewall Team -Oncall",
-    -"danger_positive_notification_group_name": "Firewall -Team",

- -

    -"danger_minimum_sample_count": 4,   

- -

    -"danger_operator": ">=",

- -

    -"danger_combination": "At Least",

- -

    -"danger_combination_count": "3",

- -

    -"danger_threshold": 90,

- -

    -"danger_window_duration": 10,

- -

    -"danger_window_duration_time_unit": "Minutes"

- -

}

- -

 

- -

6.2       /api/alert-details

- -

 

- -

Url: /api/alert-details

- -

 

- -

Purpose: Retrieves details about an -individual alert. The fields will match the fields seen here -& here.

- -

 

- -

Type: HTTP POST or HTTP GET

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘alert id’. Specifies which alert you -want to get details about (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which alert you want to get details about (by name). Type: String

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.

- -

·         -If making an HTTP GET request, specify the id or -name as url-encoded query string parameters.

- -

o   -Ex: /api/alert-details?name=MyAlert

- -

·         -Some fields may appear in the HTTP response that -are not directly a part of an alert. For example, the ‘metric_group_tags’ -values are properties of the ‘metric group’ that is associated with the alert, -but they are provided in the body of this response to make the output more -useful.
-
-

- -

Example request POST body:

- -

{

- -

    "id": 944

- -

}

- -

 

- -

Example response body:

- -

{

- -

  "id": 944,

- -

  "name": "Firewall Disk -Space",

- -

  "description": "Send an alerts when firewall disk space is low. Send a caution -alert when disk space is greater than 50%. Send a danger alert when disk space -is greater than or equal to 90%.",

- -

  "metric_group_id": 1161,

- -

  "enabled": true,

- -

  "caution_enabled": true,

- -

  "danger_enabled": true,

- -

  "alert_on_positive": true,

- -

  "allow_resend_alert": true,

- -

  "caution_notification_group_id": -976,

- -

  -"caution_positive_notification_group_id": 987,

- -

  "caution_minimum_sample_count": 2,

- -

  "caution_alert_active": false,

- -

  "danger_notification_group_id": -976,

- -

  -"danger_positive_notification_group_id": 987,

- -

  "danger_minimum_sample_count": 4,

- -

  "danger_alert_active": false,

- -

  "metric_group_name": "Firewall -Disk Space",

- -

    "metric_group_tags": [

- -

      "demo",

- -

      "disk space",

- -

      "firewall"

- -

    ],

- -

  "caution_notification_group_name": -"Firewall Team Oncall",

- -

  -"caution_positive_notification_group_name": "Firewall -Team",

- -

  "danger_notification_group_name": -"Firewall Team Oncall",

- -

  -"danger_positive_notification_group_name": "Firewall -Team",

- -

  "alert_type": -"Threshold",

- -

  "resend_alert_every": 2,

- -

  "resend_alert_every_time_unit": -"Hours",

- -

  "caution_operator": -">",

- -

  "caution_combination": -"Any",

- -

  "caution_threshold": 50,

- -

  "caution_window_duration": 4,

- -

  -"caution_window_duration_time_unit": "Minutes",

- -

  "danger_operator": -">=",

- -

  "danger_combination": -"Any",

- -

  "danger_threshold": 90,

- -

  "danger_window_duration": 10,

- -

  "danger_window_duration_time_unit": -"Minutes"

- -

}

- -

 

- -

6.3       /api/alert-enable

- -

 

- -

Url: /api/alert-enable

- -

 

- -

Purpose: Enable or disable an alert.

- -

 

- -

Type: HTTP POST

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘alert id’. Specifies which alert you -want to enable or disable (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which alert you want to enable or disable (by name). Type: String

- -

·         -enabled – The ‘is alert enabled?’ field @ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.
-
-

- -

Example request POST body:

- -

{

- -

    "id": 944,

- -

    "enabled": true

- -

}

- -

 

- -

6.4       /api/alert-remove

- -

 

- -

Url: /api/alert-remove

- -

 

- -

Purpose: Remove (delete) an alert.

- -

 

- -

Type: HTTP POST

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘alert id’. Specifies which alert you -want to remove (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which alert you want to remove (by name). Type: String

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.

- -

 

- -

Example request POST body:

- -

{

- -

    "id": 944

- -

}

- -

 

- -

6.5       /api/alerts-list

- -

 

- -

Url: /api/alerts-list

- -

 

- -

Purpose: Retrieves details about all of -StatsAgg’s alerts. The details provided match those of /api/alert-details, but -for all alerts. The fields will match the fields seen here -& here.

- -

 

- -

Type: HTTP GET
-
-

- -

Notes:

- -

·         -Some fields may appear in the HTTP response that -are not directly a part of an alert. For example, the ‘metric_group_tags’ -values are properties of the ‘metric group’ that is associated with the alert, -but they are provided in the body of this response to make the output more -useful.

- -

 

- -

Example response body:

- -

[
-{

- -

    "id": 944,

- -

    "name": "Firewall Disk -Space",

- -

    "description": "Send an alerts when firewall disk space is low. Send a caution -alert when disk space is greater than 50%. Send a danger alert when disk space -is greater than or equal to 90%.",

- -

    "metric_group_id": 1161,

- -

    "enabled": true,

- -

    "caution_enabled": true,

- -

    "danger_enabled": true,

- -

    "alert_on_positive": true,

- -

    "allow_resend_alert": true,

- -

    "caution_notification_group_id": -976,

- -

    "caution_positive_notification_group_id": -987,

- -

    "caution_minimum_sample_count": -2,

- -

    "caution_alert_active": false,

- -

    "danger_notification_group_id": -976,

- -

    -"danger_positive_notification_group_id": 987,

- -

    "danger_minimum_sample_count": 4,

- -

    "danger_alert_active": false,

- -

    "metric_group_name": -"Firewall Disk Space",

- -

    "metric_group_tags": [

- -

      "demo",

- -

      "disk space",

- -

      "firewall"

- -

    ],

- -

    -"caution_notification_group_name": "Firewall Team -Oncall",

- -

    "caution_positive_notification_group_name": -"Firewall Team",

- -

    "danger_notification_group_name": -"Firewall Team Oncall",

- -

    -"danger_positive_notification_group_name": "Firewall -Team",

- -

    "alert_type": -"Threshold",

- -

    "resend_alert_every": 2,

- -

    "resend_alert_every_time_unit": -"Hours",

- -

    "caution_operator": -">",

- -

    "caution_combination": -"Any",

- -

    "caution_threshold": 50,

- -

    "caution_window_duration": 4,

- -

    -"caution_window_duration_time_unit": "Minutes",

- -

    "danger_operator": -">=",

- -

    "danger_combination": -"Any",

- -

    "danger_threshold": 90,

- -

    "danger_window_duration": 10,

- -

    -"danger_window_duration_time_unit": "Minutes"

- -

  },

- -

  {

- -

    "id": 945,

- -

    "name": "Web Disk -Space",

- -

    "description": "Send an alerts when web server disk space is low. Send a caution -alert when disk space is greater than 50%. Send a danger alert when disk space -is greater than or equal to 90%.",

- -

    "metric_group_id": 1162,

- -

    "enabled": true,

- -

    "caution_enabled": true,

- -

    "danger_enabled": true,

- -

    "alert_on_positive": true,

- -

    "allow_resend_alert": false,

- -

    "caution_notification_group_id": -977,

- -

    -"caution_positive_notification_group_id": 977,

- -

    "caution_minimum_sample_count": -2,

- -

    "caution_alert_active": true,

- -

    "caution_alert_last_sent_timestamp": -"Sep 6, 2016 9:15:00 PM",

- -

    -"caution_alert_acknowledged_status": false,

- -

    "caution_first_active_at": -"Sep 6, 2016 9:15:00 PM",

- -

    "danger_notification_group_id": -977,

- -

    -"danger_positive_notification_group_id": 977,

- -

    "danger_minimum_sample_count": 4,

- -

    "danger_alert_active": true,

- -

    -"danger_alert_last_sent_timestamp": "Sep 6, 2016 9:15:10 -PM",

- -

    -"danger_alert_acknowledged_status": false,

- -

    "danger_first_active_at": -"Sep 6, 2016 9:15:10 PM",

- -

    "metric_group_name": "Web -Disk Space",

- -

    "metric_group_tags": [

- -

      "demo",

- -

      "disk space",

- -

      "web"

- -

    ],

- -

    -"caution_notification_group_name": "Web Team",

- -

    -"caution_positive_notification_group_name": "Web -Team",

- -

    "danger_notification_group_name": -"Web Team",

- -

    "danger_positive_notification_group_name": -"Web Team",

- -

    "alert_type": -"Threshold",

- -

    "caution_operator": -">",

- -

    "caution_combination": -"Any",

- -

    "caution_threshold": 50,

- -

    "caution_window_duration": 240,

- -

    -"caution_window_duration_time_unit": "Seconds",

- -

    "danger_operator": -">=",

- -

    "danger_combination": -"Any",

- -

    "danger_threshold": 90,

- -

    "danger_window_duration": 360,

- -

    -"danger_window_duration_time_unit": "Seconds"

- -

}
-]

- -

 

- -

6.6       -/api/suspension-create

- -

 

- -

Url: /api/suspension-create

- -

 

- -

Purpose: Create & modify -suspensions.
-
-

- -

Type: HTTP POST
-
-

- -

Json body field descriptions:

- -

·         -id – The ‘suspension id’. Specify if you want to -alter an existing suspension (as opposed to creating a new suspension). Type: -Number

- -

·         -name – The ‘name’ field @ here. -Type: String

- -

·         -description – The ‘description’ field @ here. -Type: String

- -

·         -enabled – The ‘is enabled?’ field @ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -suspend_notification_only – The ‘suspend -notification only?’ field @ here. Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -suspend_by – The ‘suspend by…’ field @ here. -Valid values: ‘AlertName’, ‘Tags’, ‘Everything’, ‘Metrics’. Type: String

- -

·         -alert_name – The ‘alert name’ field @ here. -Type: String

- -

·         -metric_group_tags_inclusive – The ‘tags’ field @ -here. -Type: Json Array of Strings

- -

·         -metric_group_tags_exclusive – The ‘everything’ -field @ here. -Type: Json Array of Strings

- -

·         -metric_suspension_regexes – The ‘metrics’ field -@ here. -Type: Json Array of Strings

- -

·         -one_time – Covers the ‘recurring’ & ‘one -time’ fields @ here. If this field is false, then this is a -‘recurring’ suspension. If this field is true, then this is a ‘one time’ -suspension. Type: boolean

- -

·         -start_date – The ‘start date’ field @ here. -Type: String

- -

·         -start_time – The ‘start time’ field @ here. -Type: String

- -

·         -recur_sunday – The Sunday field of ‘recurs on’ @ -here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -recur_monday – The Monday field of ‘recurs on’ @ -here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -recur_tuesday – The Tuesday field of ‘recurs on’ -@ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -recur_wednesday – The Wednesday field of ‘recurs -on’ @ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -recur_thursday – The Thursday field of ‘recurs -on’ @ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -recur_friday – The Friday field of ‘recurs on’ @ -here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -recur_saturday – The Saturday field of ‘recurs -on’ @ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

·         -duration – The numeric field of the ‘duration’ -field @ here. -Ex- for "duration of 4 minutes", the value of this field would -be 4. Type: Number

- -

·         -duration_time_unit – The time unit of the -‘duration’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, ‘Hours’, -or ‘Days’. Type: String

- -


-Notes:

- -

·         -Modifying a suspension will replace everything -about the suspension with the new fields for the suspension. This applies to ALL fields; not just those specified. -For example, with this API, you can’t update the ‘description’ field without -posting all the other fields.

- -

·         -If ‘id’ is specified, then that tells this API -that a suspension of the specified id will be modified with the specified -values.

- -


-Example request POST body:

- -

{

- -

  -"name": "Disk Space -- Demo",

- -

  -"description": "This alert suspension will suspend -alerting every Saturday & Sunday night at 9pm. The suspension will last for -2 hours. Only alerts that are associated with the 'demo' tag will be -suspended.",

- -

  -"enabled": true,

- -

  -"suspend_notification_only": true,

- -

  -"suspend_by": "Tags",

- -

  -"metric_group_tags_inclusive": [

- -

    -"demo"

- -

  ],

- -

  -"one_time": false,

- -

  -"start_date": "01/01/2015",

- -

  -"start_time": "9:00 PM",

- -

  -"recur_sunday": true,

- -

  -"recur_monday": false,

- -

  -"recur_tuesday": false,

- -

  -"recur_wednesday": false,

- -

  -"recur_thursday": false,

- -

  -"recur_friday": false,

- -

  -"recur_saturday": true,

- -

  -"duration": 2,

- -

  -"duration_time_unit": "Hours"

- -

}

- -

 

- -

6.7       /api/suspension-details

- -

 

- -

Url: /api/suspension-details

- -

 

- -

Purpose: Retrieves details about an -individual suspension. The fields will match the fields seen here -& here.

- -

 

- -

Type: HTTP POST or HTTP GET

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘suspension id’. Specifies which -suspension you want to get details about (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which suspension you want to get details about (by name). Type: -String

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.

- -

·         -If making an HTTP GET request, specify the id or -name as url-encoded query string parameters.

- -

o   -Ex: /api/suspension-details?name=MySuspension
-
-

- -

Example request POST body:

- -

{

- -

    "id": 353

- -

}

- -

 

- -

Example response body:

- -

{

- -

  -"id": 353,

- -

  -"name": "Disk Space",

- -

  -"description": "This alert suspension will suspend -alerting every Saturday & Sunday night at 9pm. The suspension will last for -2 hours. Only alerts that are associated with the 'demo' tag will be -suspended.",

- -

  -"enabled": true,

- -

  -"suspend_notification_only": true,

- -

  -"metric_group_tags_inclusive": [

- -

    -"demo"

- -

  ],

- -

  -"one_time": false,

- -

  -"recur_sunday": true,

- -

  -"recur_monday": false,

- -

  -"recur_tuesday": false,

- -

  -"recur_wednesday": false,

- -

  -"recur_thursday": false,

- -

  -"recur_friday": false,

- -

  "recur_saturday": -true,

- -

  -"suspend_by": "Tags",

- -

  -"duration": 2,

- -

  -"duration_time_unit": "Hours",

- -

  -"start_date": "01/01/2015",

- -

  -"start_time": "9:00 PM"

- -

}

- -

6.8       /api/suspension-enable

- -

 

- -

Url: /api/suspension-enable

- -

 

- -

Purpose: Enable or disable a -suspension.

- -

 

- -

Type: HTTP POST

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘suspension id’. Specifies which -suspension you want to enable or disable (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which suspension you want to enable or disable (by name). Type: -String

- -

·         -enabled – The ‘is suspension enabled?’ field @ here. -Can be ‘true’ or ‘false’. Type: Boolean

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.
-
-

- -

Example request POST body:

- -

{

- -

    "id": 353,

- -

    "enabled": true

- -

}

- -

 

- -

6.9       /api/suspension-remove

- -

 

- -

Url: /api/suspension-remove

- -

 

- -

Purpose: Remove (delete) a suspension.

- -

 

- -

Type: HTTP POST

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘suspension id’. Specifies which -suspension you want to remove (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which suspension you want to remove (by name). Type: String

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.

- -

 

- -

Example request POST body:

- -

{

- -

    "id": 353

- -

}

- -

 

- -

6.10  /api/suspensions-list

- -

 

- -

Url: /api/suspensions-list

- -

 

- -

Purpose: Retrieves details about all of -StatsAgg’s suspensions. The details provided match those of -/api/suspension-details, but for all suspensions. The fields will match the -fields seen here & here.

- -

 

- -

Type: HTTP GET
-
-

- -

Example response body:

- -

[
-  {

- -

    -"id": 353,

- -

    "name": -"Disk Space",

- -

    -"description": "This alert suspension will suspend -alerting every Saturday & Sunday night at 9pm. The suspension will last for -2 hours. Only alerts that are associated with the 'demo' tag will be -suspended.",

- -

    -"enabled": true,

- -

    -"suspend_notification_only": true,

- -

    -"metric_group_tags_inclusive": [

- -

      -"demo"

- -

    ],

- -

    -"one_time": false,

- -

    -"recur_sunday": true,

- -

    -"recur_monday": false,

- -

    -"recur_tuesday": false,

- -

    -"recur_wednesday": false,

- -

    -"recur_thursday": false,

- -

    -"recur_friday": false,

- -

    -"recur_saturday": true,

- -

    -"suspend_by": "Tags",

- -

    -"duration": 2,

- -

    -"duration_time_unit": "Hours",

- -

    -"start_date": "01/01/2015",

- -

    -"start_time": "9:00 PM"

- -

  },

- -

  {

- -

    -"id": 67,

- -

    -"name": "cpu_nonprd",

- -

    "description": "Suspends -non-production alerts for CPU utilization",

- -

    -"enabled": false,

- -

    -"suspend_notification_only": false,

- -

    -"metric_group_tags_exclusive": [

- -

      -"production"

- -

    ],

- -

    -"one_time": false,

- -

    -"suspend_notification_only": true,

- -

    -"recur_sunday": true,

- -

    -"recur_monday": true,

- -

    -"recur_tuesday": true,

- -

    -"recur_wednesday": true,

- -

    -"recur_thursday": true,

- -

    -"recur_friday": true,

- -

    -"recur_saturday": true,

- -

    -"suspend_by": "Everything",

- -

    -"duration": 8,

- -

    -"duration_time_unit": "Hours",

- -

    -"start_date": "07/20/2014",

- -

    -"start_time": "9:00 PM"

- -

  }

- -

]

- -

 

- -

6.11  -/api/metric-group-create

- -

 

- -

Url: /api/metric-group-create

- -

 

- -

Purpose: Create & modify metric -groups.
-
-

- -

Type: HTTP POST
-
-

- -

Json body field descriptions:

- -

·         -id – The ‘metric group id’. Specify if you want -to alter an existing metric group (as opposed to creating a new metric group). -Type: Number

- -

·         -name – The ‘name’ field @ here. -Type: String

- -

·         -description – The ‘description’ field @ here. -Type: String

- -

·         -match_regexes – The ‘regular expressions’ field -@ here. -Type: Json Array of Strings

- -

·         -blacklist_regexes – The ‘blacklist regular -expressions’ field @ here. Type: Json Array of Strings

- -

·         -tags – The ‘tags’ field @ here. -Type: Json Array of Strings

- -


-Notes:

- -

·         -Modifying a metric group will replace everything -about the metric group with the new fields for the metric group. This applies -to ALL fields; not just those -specified. For example, with this API, you can’t update the ‘description’ field -without posting all the other fields.

- -

·         -If ‘id’ is specified, then that tells this API -that a metric group of the specified id will be modified with the specified -values.

- -


-Example request POST body:

- -

{

- -

  "name": "Application Disk -Space",

- -

  "description": "Ties together -all disk-space metrics that are associated with application1 and -application2.",

- -

  "match_regexes": [

- -

    ".*application1.*diskSpace.*",

- -

    ".*application2.*diskSpace.*"

- -

  ],

- -

  "blacklist_regexes": [

- -

    ".*application1.*diskSpace.*temp_disk",

- -

    ".*application2.*diskSpace.*temp_disk -"

- -

  ],

- -

  "tags": [

- -

    "application",

- -

    "demo",

- -

    "disk space"

- -

  ]

- -

}

- -

 

- -

6.12  /api/metric-group-details

- -

 

- -

Url: /api/metric-group-details

- -

 

- -

Purpose: Retrieves details about an -individual metric group. The fields will match the fields seen here.

- -

 

- -

Type: HTTP POST or HTTP GET

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘metric group id’. Specifies which -metric group you want to get details about (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which metric group you want to get details about (by name). Type: -String

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.

- -

·         -If making an HTTP GET request, specify the id or -name as url-encoded query string parameters.

- -

o   -Ex: /api/metric-group-details?name=MyMetricGroup
-
-

- -

Example request POST body:

- -

{

- -

    "id": 1130

- -

}

- -

 

- -

Example response body:

- -

{

- -

  "id": 1130,

- -

  "name": "Application Disk -Space",

- -

  "description": "Ties together -all disk-space metrics that are associated with application1 and -application2.",

- -

  "match_regexes": [

- -

    ".*application1.*diskSpace.*",

- -

    ".*application2.*diskSpace.*"

- -

  ],

- -

  "blacklist_regexes": [],

- -

  "tags": [

- -

    "application",

- -

    "demo",

- -

    "disk space"

- -

  ]

- -

}

- -

 

- -

6.13  /api/metric-group-remove

- -

 

- -

Url: /api/metric-group-remove

- -

 

- -

Purpose: Remove (delete) a metric -group.

- -

 

- -

Type: HTTP POST

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘metric group id’. Specifies which -metric group you want to remove (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which metric group you want to remove (by name). Type: String

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.

- -

 

- -

Example request POST body:

- -

{

- -

    "id": 353

- -

}

- -

 

- -

6.14  /api/metric-groups-list

- -

 

- -

Url: /api/metric-groups-list

- -

 

- -

Purpose: Retrieves details about all of StatsAgg’s metric groups. The details provided match those -of /api/metric-group-details, but for all metric groups. The fields will match -the fields seen here.

- -

 

- -

Type: HTTP GET
-
-

- -

Example response body:

- -

[

- -

 {

- -

    "id": 1129,

- -

    "name": "Database Disk -Space",

- -

    "description": "",

- -

    "match_regexes": [

- -

      ".*database.*disk.*",

- -

    ],

- -

    "blacklist_regexes": [],

- -

    "tags": [

- -

      "database",

- -

      "demo",

- -

      "disk space"

- -

    ]

- -

  },

- -

  {

- -

    "id": 1130,

- -

    "name": "Application Disk -Space",

- -

    "description": "Ties -together all disk-space metrics that are associated with application1 and -application2.",

- -

    "match_regexes": [

- -

      ".*application1.*diskSpace.*",

- -

      ".*application2.*diskSpace.*"

- -

    ],

- -

    "blacklist_regexes": [

- -

      ".*application1.*diskSpace.*temp_disk",

- -

      ".*application2.*diskSpace.*temp_disk -"

- -

    ],

- -

    "tags": [

- -

      "application",

- -

      "demo",

- -

      "disk space"

- -

    ]

- -

  }

- -

]

- -

6.15  /api/notification-group-create

- -

 

- -

Url: /api/notification-group-create

- -

 

- -

Purpose: Create & modify -notification groups.
-
-

- -

Type: HTTP POST
-
-

- -

Json body field descriptions:

- -

·         -id – The ‘notification group id’. Specify if you -want to alter an existing notification group (as opposed to creating a new -notification group). Type: Number

- -

·         -name – The ‘name’ field @ here. -Type: String

- -

·         -email_addresses –  The ‘email addresses’ field @ here. -Type: Json Array of Strings

- -


-Notes:

- -

·         -Modifying a notification group will replace everything -about the notification group with the new fields for the notification group. -This applies to ALL fields; not just -those specified.

- -

·         -If ‘id’ is specified, then that tells this API -that a notification group of the specified id will be modified with the -specified values.

- -


-Example request POST body:

- -

  {

- -

    -"name": "Application Team Demo",

- -

    -"email_addresses": [

- -

      -"apps@noreply.com",

- -

      -"demo@noreply.com"

- -

    ]

- -

  }

- -

 

- -

6.16  /api/notification-group-details

- -

 

- -

Url: /api/notification-group-details

- -

 

- -

Purpose: Retrieves details about an -individual notification group. The fields will match the fields seen here.

- -

 

- -

Type: HTTP POST or HTTP GET

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘notification group id’. Specifies -which notification group you want to get details about (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which notification group you want to get details about (by name). -Type: String

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.

- -

·         -If making an HTTP GET request, specify the id or -name as url-encoded query string parameters.

- -

o   -Ex: /api/notification-group-details?name=MyNotificationGroup
-
-

- -

Example request POST body:

- -

{

- -

    "id": 961

- -

}

- -

 

- -

Example response body:

- -

{

- -

  "id": 961,

- -

  "name": "Application -Team",

- -

  "email_addresses": [

- -

    "apps@noreply.com",

- -

    "demo@noreply.com"

- -

  ]

- -

}

- -

6.17  /api/notification-group-remove

- -

 

- -

Url: /api/notification-group-remove

- -

 

- -

Purpose: Remove (delete) a notification -group.

- -

 

- -

Type: HTTP POST

- -

 

- -

Json body field descriptions:

- -

·         -id – The ‘notification group id’. Specifies -which notification group you want to remove (by id). Type: Number

- -

·         -name – The ‘name’ field @ here. -Specifies which notification group you want to remove (by name). Type: String

- -

 

- -

Notes:

- -

·         -If ‘id’ and ‘name’ are both specified, the value -of ‘id’ will be used.

- -

 

- -

Example request POST body:

- -

{

- -

    "id": 961

- -

}

- -

 

- -

6.18  /api/notification-groups-list

- -

 

- -

Url: /api/notification-groups-list

- -

 

- -

Purpose: Retrieves details about all of StatsAgg’s notification groups. The details provided -match those of /api/notification-group-details, but for all notification -groups. The fields will match the fields seen here.

- -

 

- -

Type: HTTP GET
-
-

- -

Example response body:

- -

[

- -

  {

- -

    "id": 961,

- -

    "name": "Application -Team",

- -

    "email_addresses": [

- -

      "apps@noreply.com",

- -

      "demo@noreply.com"

- -

    ]

- -

  },

- -

  {

- -

    "id": 962,

- -

    "name": "Database Team",

- -

    "email_addresses": [

- -

      "dba@noreply.com",

- -

      "demo@noreply.com"

- -

    ]

- -

  }

- -

]

- -

7    HTTP -POST Tips & recommended usage patterns.

- -

7.1       -Memory optimization

- -

StatsAgg achieves high-performance by keeping nearly all -of its data in memory (Java heap). As a result, the more notifications that are -sent to it, the more memory is needed. ‘Notification groups’ & alerts also -contribute to memory usage. Here are some tips for making sure you don’t run -out of memory:

- -

·         -Try to keep the number of notifications that get -associated with a ‘notification group’ to a minimum.

- -

·         -For alerts, keep ‘window duration’ to as narrow -of a value as possible. StatsAgg only keeps the absolute minimum number of data -points in memory that it needs to, but if the ‘window duration’ for an alert is -set to a wide time-frame (ex—1 day), then StatsAgg will have to keep all of the data points associated with that alert’s -‘notification group’ in memory for the entire ‘window duration’.

- -

·         -A 4GB heap should be enough for most -moderate-use use-cases. When consuming notifications at higher rates, an 8GB -heap (or more) may be needed.

- -

o   Proper -memory sizing will ultimately on your specific usage pattern, so it may take -some trial/error.

- -

·         -StatsD timer notifications use a lot of memory -compared to other notification types. This is because StatsD timer -notifications, upon aggregation, are ballooned up into many separate -notifications.

- -

o   Incidentally, -StatsD timer notifications also use the most CPU of any notification type.

- -

·         -StatsAgg has absolutely no limitations on how -many notifications it will try to consume/keep in memory/aggregate/output/etc. -If you create a ‘notification group’ that captures every single notification, -and then create an alert (using that ‘notification group’) with a window-duration of 1000 years, StatsAgg will let you do -this. Given enough data points, this will likely result in StatsAgg running out -of memory & crashing.

- -

·         -Send notifications less frequently. StatsAgg is -very capable of handling millions of notification-series that send data -infrequently. It will have more when receiving notifications at very high rates -– even if the number of notification-series is very low.

- -

·         -Because StatsAgg is written in Java & it -keeps much of its data in-memory, heap dumps can be very useful in figuring out -what specifically is causing all your memory usage. Is it an alert with an -overly-wide ‘window duration’? Is it that an application is feeding -notifications into StatsAgg at a rate of 1,000,000,000 notifications per -second? Heap dumps are great at helping to figure this stuff out.

- -

o   Eclipse -MAT is the first-choice for heap dump analysis.

- -

o   VisualVM -is also good at analyzing heap dumps.

- -

 

- -

7.2       -TCP vs UDP

- -

Under most circumstances, TCP is recommended over UDP for -use with StatsAgg. UDP is an inherently packet-loss prone protocol, and under -normal conditions, it is often possible to lose a non-trivial percentage of -your packets. TCP has more guarantees on connectivity & delivery of data, -so it is the preferred protocol of the author of StatsAgg. TCP & UDP -notification consumption are very lightweight in StatsAgg, so there is no real -performance consideration for using one or the other.

- -

 

- -

For TCP, the recommended approach is to open a -connection, send the notifications, and close the connection. Leaving a -connection open/hanging will tie up StatsAgg & operating system resources -with no meaningful benefit.

- -

 

- -

7.3       -JRE/JDK Version

- -

·         -Java 1.8, x86, is the minimum Java spec that -StatsAgg supports.

- -

·         -At the time of writing, Oracle Java 10 is the -recommended Java Runtime Engine for StatsAgg.

- -

·         -64bit (x64) versions of Java are generally -recommended over 32bit versions (x86)

- -

·         -StatsAgg was primarily developed & tested -against Oracle Java on Windows.

- -

·         -OpenJDK should work with StatsAgg, but it is not -frequently tested. Functionality & performance should be equivalent to -Oracle’s version of Java.

- -

·         -Using the full JDK package is recommended, as -the JDK package comes with diagnostic tools that can be used to troubleshoot -StatsAgg.

- -

o   Ex -– VisualVM

- -

 

- -

7.4       -Recommended JVM options

- -

·         -Recommended garbage collector: G1GC

- -

o   --XX:+UseG1GC

- -

o   --XX:MaxGCPauseMillis=5000

- -

·         -Maximum Heap size: this heavily depends on your -usage of StatsAgg.

- -

o   -A good starting place is a 2.5GB heap via --Xmx2560m

- -

o   -StatsAgg has been tested with maximum heap sizes -as low as 512MB & as high as 16GB.

- -

o   -If StatsAgg is the only application running on -your server, then consider raising the maximum heap size as large as 75% of the -physical memory of your server.

- -

·         -Any JVM option that wasn’t explicitly mentioned -somewhere in this manual is not recommended (unless you’re a Java JVM tuning -expert). Tune the JVM settings at your own risk.

- -

8    -Frequently asked questions

- -

1)      -Why bother completely re-implementing the StatsD -protocol?

- -

a.       When -StatsAgg was first started, StatsD did not support TCP-based notification -transmission, so StatsAgg sought to correct that. Also, limitations like -‘forgets Gauge values after a restart’ were a deal-breaker for many use-cases, -and that would be difficult to fix in the main StatsD application.

- -

b.       If -you don’t want to use StatsAgg’s implementation of StatsD, then you can send -notifications to an instance of the official StatsD application & then have -StatsD output its notifications to StatsAgg (which would receive them as -Graphite notifications).

- -

2)      -How does StatsAgg’s performance compare to -StatsD?

- -

a.       In -apples-to-apples performance comparisons of StatsD vs StatsAgg, StatsAgg tends -to be faster by a margin of 25% to 50%. These results may vary by hardware, -StatsAgg JVM options, application configurations, etc.

- -

b.       The -above StatsD performance benchmark was conducted on a multi-core server. StatsD -is largely a single-threaded application, and it may perform better than -StatsAgg on a single-core server.

- -

3)      -OpenTSDB listens for notifications on a single -port for the telnet & HTTP formats. StatsAgg listens on two different -ports. Why?

- -

a.       OpenTSDB -implemented their TCP listener in a non-traditional way. That is to say, it is -uncommon to have a single port listen for two completely different protocols. -Because of the difficulty of implementation, StatsAgg currently listens for -notifications on two different ports. One is a user-defined port for OpenTSDB -HTTP notification input (4243 by default), and the other is a user-defined port -for OpenTSDB telnet notification inputs (4242 by default).

- -

4)      -"Do I need -to output to Graphite/OpenTSDB/Influx/etc"?

- -

a.       No. -StatsAgg doesn’t mandate that notifications be output anywhere.

- -

5)      -"Can I run a multi-server deployment of -StatsAgg?"

- -

a.       No. -StatsAgg only works in a single-server deployment model. There are no plans to -support a multi-server deployment model in the future.

- -

b.       Why -not!?

- -

                                                               -i.      -StatsD Gauge notifications. Gauge notifications -can be directly set, incremented, or decremented – and the order matters. If -the order is mixed up, even slightly, then the value of the Gauge notification -could end up being completely different/wrong. There is no efficient way to -guarantee correct ordering with multiple servers for notifications types like -this (at least not that this author could think of…).

- -

                                                             -ii.      -Alerting. StatsAgg’s alerting mechanism expects -to be able to quickly assess what notifications are in an alerted state. If -multiple servers had a partial dataset of the notification-values for a -notification-key, then alert criteria couldn’t be properly evaluated.

- -

                                                           -iii.      -You can always just run multiple StatsAgg -servers that are completely independent from each other.

- -

6)      -"Performance?"

- -

a.       StatsAgg’s -author has a day-job of ‘Performance Engineer’, so a lot of effort has gone into -making StatsAgg perform well under heavy-load conditions. To give a general -sense of overall performance, StatsAgg will use…

- -

·   -around 40% CPU & ~1GB JVM Heap on a 4-core -Intel i5 processor VM (running Windows 2008 R2)…

- -

·   -… while consuming 100,000 Graphite-Aggregated -notifications per second & a diverse set of 100,000 StatsD notifications -per second. That’s 200,000 notifications per second total…

- -

·   -… with 50 notification groups & 50 alerts -set (window durations under 5mins).

- -

If one were to send mostly -Graphite-Passthrough notifications, then StatsAgg could potentially scale to -millions of notifications per second on moderate hardware.

- -

7)      -StatsAgg uses a lot of CPU after a restart! What -gives?!

- -

a.       -As a result, after a StatsAgg restart, it is -common to have a period of high CPU utilization while notifications-keys are -re-associated with ‘notification groups’. The time it takes will be -proportional to (#unique-notification-keys * #notification-groups).

- -

b.       -The ‘heaviness’ of the regular-expressions that -are associated with the ‘notification groups’ also plays a large role in -contributing to the startup time. Try to reduce the complexity of your -‘notification group’ regular-expressions whenever possible.

- -

8)      -I altered a ‘notification group’ and/or alert -and my alert status changed from triggered->not triggered. Why?

- -

a.       -Altering a ‘notification group’ is treated as a -complete refresh of everything unique about that ‘notification group’. That -means that all ‘notification group’ associations are reset, and all data points -that were being kept in memory because of their association with the -‘notification group’ were allowed to be cleaned up.

- -

b.       -Altering an alert mandates a reset of the status -of the alert. If the alert is still in a triggered state after the alteration, -then it will re-alert (complete with a new notification).

- -

9)      -Is any data lost as it passes through StatsAgg? -Is numeric precision/accuracy maintained?

- -

a.       -StatsAgg internally stores all -notification-values with full numeric precision intact. Furthermore, StatsAgg -does not use floating-point math operators, so you’ll never have a situation -where the ‘average’ value of a set of notifications is equal to ’74.999999’ -instead of ‘75’.

- -

·   -The only place where precision may be lost is in -the post-aggregation output of the StatsD & Graphite-Aggregator routines. -Whole numbers always maintain full precision, but the fractional part (the -scale of the number) is limited to 7 decimals. In such a situation, the last -decimal is rounded up.

- -

10)   -Will StatsAgg ever support receiving -notifications in format ABC?

- -

a.       -Support for various notification formats will -improve over time. The only criteria is that the -notification format must be open-source & capable of working within the -established StatsAgg framework.

- -

b.       -Feel free to suggest/request support for a particular notification format.

- -

11)   -Will StatsAgg ever output to service XYZ?

- -

a.       -Support for writing to other backends will -likely be built into StatsAgg over time. Possible candidates include: InfluxDB, -MySQL, Mongo, PostgreSQL, Apache Derby. Backends for commercial services are -unlikely to be built into StatsAgg. This is because the author of StatsAgg -doesn’t feel that it is appropriate to selectively implement solutions for -particular closed-sourced (for-profit) companies & technologies.

- -

9    -Troubleshooting

- -

1.       -Many errors/issues with StatsAgg will be -captured in StatsAgg log file(s). The main log file is located at -(tomcat-location)/logs/statsagg.log, but you may also find it useful to inspect -other log files (like catalina.out).

- -

2.       -StatsAgg doesn’t seem to shutdown, or litters the -logs when shutting down.

- -

a.       -StatsAgg attempts to shutdown gracefully, which -gives each of the threads several seconds to shut down. If these threads don’t -shut down after a certain period of time, they are forcibly terminated. This -may result in errors in the log files, but the errors should be harmless -overall. StatsAgg was built to be resilient to hard crashes.

- -

3.       -The StatsAgg WebUI homepage says "StatsAgg -is using its default application configuration settings. This occurs when there -was an error loading the 'application.properties' configuration file."

- -

a.       -As the error suggests, this usually means that -the application.properties file was not created. This discusses how create/configure -the application.properties file. If there was some other type of error (invalid -settings, etc), then odds are good that you will find a more detail description -of the error in the StatsAgg log file.

- -

4.       -The StatsAgg WebUI homepage says "StatsAgg -is using an ephemeral (in-memory) database. This occurs when there was an error -loading the 'database.properties' configuration file."

- -

a.       -As the error suggests, this usually means that -the database.properties file was not created and/or improperly configured. This discusses how -create/configure the database.properties file. If there was some other type of -error (invalid settings, etc), then odds are good that you will find a more -detail description of the error in the StatsAgg log file.

- -

5.       -The StatsAgg WebUI homepage says "StatsAgg -did not successfully connect to the database. Please view the StatsAgg log -files for more details."

- -

a.       -This most frequently occurs StatsAgg can’t -connect to a MySQL database. This could be because MySQL has crashed, -connectivity was lost (network is down, firewall, etc), MySQL is -overload/unresponsive, etc. You will have to investigate what is wrong with the -StatsAgg ßà database interaction to -solve this problem. Oftentimes the StatsAgg log file is helpful in these -circumstances. The StatsAgg log file is located at: -(tomcat-location)/logs/statsagg.log.

- -

b.       -Once the issue is discovered/fixed, it is -recommended that StatsAgg be restarted.

- -

6.       -Alerts/emails/WebUI are out of sync with each -other. What gives?

- -

a.       -While this behavior is rare, such behavior can -happen when the StatsAgg database becomes unavailable for a period of time. -This is exclusively a MySQL concern. The underlying reason for this behavior is -that the StatsAgg application caches a lot of data to keep performance high. -Cases like this are being identified/fixed, but there may be edge-cases that -could lead to synchronization issues.

- -

b.       -When such behavior is noticed, restart StatsAgg.

- -

10             -Known bugs/limitations/etc

- -

·         -A few StatsD features that are in the main -StatsD program are missing in StatsAgg. Missing features include…

- -

o   -configuring StatsAgg to be a ‘repeater’ (you can -use the official StatsD program to do this and forward to StatsAgg).

- -

o   -configuring StatsAgg to be in a ‘proxy cluster’ -configuration (you can use the official StatsD program to do this, and forward -to StatsAgg)

- -

o   -outputting frequently sent notification-keys to -log files

- -

·         -StatsAgg is not (currently) meant for use as an -incident management tool. It doesn't support alert history, event management, -etc.

- -

·         -StatsAgg only supports running in a -single-server configuration. See the FAQs section for more information.

- -

·         -StatsAgg does not currently support the Graphite -'Pickle' format (may be included in a future build).

- -

·         -OpenTSDB listens for notifications on a single -port for the telnet & HTTP formats. StatsAgg listens for OpenTSDB -notifications on two different ports. See the FAQs section for more -information.

- -

·         -The OpenTSDB HTTP interface has full support for -the ‘summary’ parameter, and partial support for the ‘details’ parameter. See -the OpenTSDB documentation for more information.

- -

o   -The ‘details’ parameter will return accurate -counts for ‘failed’ & ‘success’, but the ‘errors’ field is not currently -being populated.

- -

·         -Do not run a build of StatsAgg that was compiled -with JDK8 on a JRE7 runtime. For whatever reason (likely a compiler bug), this -will result in broken functionality in StatsAgg.

- -

11             -About StatsAgg

- -

Development for StatsAgg started in August 2013 by Pearson -Assessments (a division of Pearson Education). It started as an internal -application that was conceived as an enhanced version of StatsD, and continued -to evolve after the initial design goals were achieved.

- -

 

- -

StatsAgg is developed in Java. Java was chosen because it -is cross-platform, well supported, mature, and achieves relatively high -performance.

- -

 

- -

StatsAgg’s design was based on the following principles:

- -

·         -Keep framework usage to an absolute minimum. Only -modular libraries were used (libraries that can easily be swapped out).

- -

o   No -hibernate, struts, spring, play!, etc

- -

·         -CPU & Memory usage must linearly scale by -input notification count, notification group count, alerts count, etc. -Exponential usage of CPU or Memory as a factor of any StatsAgg input was -specifically avoided.

- -

·         -Assume people want LOTS of unique notifications -& want frequent data points for each notification.

- -

·         -An admin-interface that is intuitive, but -powerful.

- -

12             -License

- -

StatsAgg is -released under that Apache 2.0 license.
-http://www.apache.org/licenses/LICENSE-2.0

- -

13             -Credits

- -

Lead developer/designer/architect/documenter: Jeffrey -Schmidt

- -

Associate developer: Prashant Kumar

- -

WebUI consultants: Pasi Jouhikainen, Adam Parsons, Deepak -Patnam

- -

Architecture consultations: Pasi Jouhikainen, Adam -Parsons, Michael Anderson

- -

 

- -

StatsD: etsy @ https://github.com/etsy/statsd/

- -

Graphite: Orbitz @ http://graphite.wikidot.com/

- -

OpenTSDB @ http://opentsdb.net/

- -

Pearson Assessments, a division of Pearson Education: http://www.pearsonassessments.com/

- -
- - - - + + + + + + + + + + + + + + + + + + + + +
+ +
+ +

StatsAgg User Manual

+ +
+ +

 

+ +

Table of Contents

+ +

1       Overview

+ +

1.1         Core +Features

+ +

1.2         Why +use StatsAgg?

+ +

1.3         What +isn’t StatsAgg?

+ +

2       Installation

+ +

2.1         System +requirements

+ +

2.2         Windows +installation

+ +

2.3         Linux +installation

+ +

2.4         Tomcat +configuration

+ +

2.5         StatsAgg +configuration

+ +

2.5.1          StatsAgg +application configuration

+ +

2.5.2          StatsAgg +database configuration

+ +

2.5.2.1      Apache Derby Embedded

+ +

2.5.2.2      MySQL

+ +

2.5.2.3      Apache Derby vs MySQL

+ +

2.5.3          StatsAgg +WebUI security configuration (optional)

+ +

2.6         Updating/upgrading

+ +

2.7         Configuring +for High Availability

+ +

3       Metric +inputs/outputs

+ +

3.1         Terminology

+ +

3.2         Graphite +metrics

+ +

3.2.1          Overview

+ +

3.2.2          Metric +format

+ +

3.2.3          ‘Passthrough’ +metrics

+ +

3.2.4          ‘Aggregated’ +metrics

+ +

3.3         StatsD +metrics

+ +

3.3.1          Overview

+ +

3.3.2          Metric +format

+ +

3.3.2.1      Counters

+ +

3.3.2.2      Sampling-based counters

+ +

3.3.2.3      Gauges

+ +

3.3.2.4      Timers

+ +

3.3.2.5      Sets

+ +

3.3.3          StatsD +legacy namespacing

+ +

3.3.4          Other +differences between StatsD & StatsAgg

+ +

3.3.5          Sample +StatsAgg configuration file compared to a StatsD configuration file

+ +

3.4         OpenTSDB

+ +

3.4.1          Metric +Format

+ +

3.4.2          How +StatsAgg represents OpenTSDB metrics in the WebUI

+ +

3.5         InfluxDB

+ +

3.5.1          Metric +Format

+ +

3.5.2          How +StatsAgg represents InfluxDB metrics in the WebUI

+ +

3.6         Outputs +Modules

+ +

3.6.1          Graphite

+ +

3.6.2          OpenTSDB

+ +

3.6.3          InfluxDB +0.6x – 0.8x

+ +

4       Alerting

+ +

4.1         Alerting +overview

+ +

4.2         How +does alerting work?

+ +

4.3         What +happens to triggered alerts when StatsAgg is restarted?

+ +

4.4         Notes

+ +

5       Administrative +Website User Interface

+ +

5.1         Normal +‘path’ through the website

+ +

5.2         Common +UI components

+ +

5.3         Metric +Groups

+ +

5.3.1          Metric +Groups table

+ +

5.3.2          Create +Metric Group

+ +

5.4         Notification +Groups

+ +

5.4.1          Notification +Groups table

+ +

5.4.2          Create +Notification Group

+ +

5.5         Alerts

+ +

5.5.1          Alerts +table

+ +

5.5.2          Create +Alert

+ +

5.6         Suspensions

+ +

5.6.1          Suspensions +table

+ +

5.6.2          Create +Suspension

+ +

5.7         Regex +Tester

+ +

5.8         Metric +Alert Associations

+ +

5.9         Forget +Metric(s)

+ +

5.10      Output +Blacklist

+ +

5.11      Metric +Benchmark

+ +

5.12      Alerts +Report

+ +

5.13      Health +Check

+ +

6       The +Json API

+ +

6.1         /api/alert-create

+ +

6.2         /api/alert-details

+ +

6.3         /api/alert-enable

+ +

6.4         /api/alert-remove

+ +

6.5         /api/alerts-list

+ +

6.6         /api/suspension-create

+ +

6.7         /api/suspension-details

+ +

6.8         /api/suspension-enable

+ +

6.9         /api/suspension-remove

+ +

6.10      /api/suspensions-list

+ +

6.11      /api/metric-group-create

+ +

6.12      /api/metric-group-details

+ +

6.13      /api/metric-group-remove

+ +

6.14      /api/metric-groups-list

+ +

6.15      /api/notification-group-create

+ +

6.16      /api/notification-group-details

+ +

6.17      /api/notification-group-remove

+ +

6.18      /api/notification-groups-list

+ +

7       HTTP +POST Tips & recommended usage patterns.

+ +

7.1         Memory +optimization

+ +

7.2         TCP +vs UDP

+ +

7.3         JRE/JDK +Version

+ +

7.4         Recommended +JVM options

+ +

8       Frequently +asked questions

+ +

9       Troubleshooting

+ +

10          Known +bugs/limitations/etc

+ +

11          About +StatsAgg

+ +

12          License

+ +

13          Credits

+ +

 

+ +

 

+ +

1    Overview

+ +

StatsAgg is a metric aggregation and alerting platform. +It currently accepts Graphite-formatted metrics, OpenTSDB-formatted metrics, +InfluxDB-formatted metrics (0.6x-0.8x format), and StatsD-formatted metrics.

+ +

 

+ +

StatsAgg works by receiving Graphite, StatsD, OpenTSDB, +and InfluxDB metrics, (optionally) aggregating them, alerting on them, and +outputting them to a metric storage platform. In essence, StatsAgg is a +middle-man that sits between the metric sender & the metric storage +applications. The ‘value add’ is metric aggregation (Graphite & StatsD), +and a common alerting platform for all supported metric types. The diagram (see +below diagram) shows an example deployment & use-case pattern for StatsAgg.

+ +

 

+ +

+ +

 

+ +

1.1       +Core Features

+ +

·         +Receives and aggregates StatsD metrics

+ +

a.       StatsAgg +contains a complete re-implementation of StatsD

+ +

b.       All +metric-types are fully supported (and in some cases, enhanced)

+ +

c.       TCP +& UDP support (both can run concurrently)

+ +

·         +Receives (and optionally, aggregates) Graphite +metrics

+ +

a.       TCP +& UDP support (both can run concurrently).

+ +

b.       Can +aggregates into minimum, average, maximum, median, count, rate, and sum for the +values of an individual metric-path (during an 'aggregation window').

+ +

c.       Aggregation +works similarly to StatsD timer aggregation, but for Graphite metrics.

+ +

·         +Receives OpenTSDB metrics

+ +

a.       Telnet +& HTTP interfaces are supported

+ +

b.       Supports +GZIP compression on HTTP interface

+ +

·         +Outputs metrics to metric storage platforms

+ +

a.       Graphite +(and Graphite compatible services)

+ +

b.       OpenTSDB +(via telnet & HTTP)

+ +

c.       InfluxDB +(versions 0.6x, 0.7x, 0.8x -- support for 0.9x will come in a future release)

+ +

d.       Outputting +to a storage engine is completely optional; you can send metrics into StatsAgg +without having them forwarded to a metric storage solution. This also means +that if you’re having issues with your metric storage solution, StatsAgg will +still be available & capable of alerting off the metrics that it receives.

+ +

·         +A robust alerting mechanism

+ +

a.       Can +alert off of any received/aggregated metric

+ +

b.       Regular-expression +based mechanism for tying metrics & alerts together

+ +

c.       'threshold' +or 'availability' based alerting

+ +

d.       A +flexible alert & metric suspension mechanism

+ +

e.       Alerts +notifications can be sent via email or viewed in the StatsAgg website

+ +

·         +A web-based user-interface for managing alerts +& metrics

+ +

 

+ +

1.2       +Why use StatsAgg?

+ +

StatsAgg was originally written to fill some gaps that in +some other popular open-source monitoring tools. Specifically...

+ +

·         +Graphite, StatsD, OpenTSDB, and InfluxDB do not +have native alerting mechanisms

+ +

a.       Most +alerting solutions for StatsD, Graphite, OpenTSDB, and/or InfluxDB metrics are +provided by (expensive) SaaS venders.

+ +

b.       The +alerting mechanism in StatsAgg compares favorably to many pay-based solutions.

+ +

·         +StatsAgg can act as a sort of ‘metric +transcoder’ between various technologies.

+ +

a.       It +allows any combination of input metrics StatsD, Graphite, InfluxDB (0.8x), and +OpenTSDB metrics to be output to OpenTSDB, Graphite, InfluxDB (0.8x), etc.

+ +

b.       Support +for more input & output formats will increase as StatsAgg evolves.

+ +

·         +StatsAgg provides an alternative way of managing +servers/services/etc compared to tools like Nagios, Zabbix, etc

+ +

a.       StatsAgg +allows you to break away from viewing everything from the perspective of +servers/hosts. You could structure your metrics to group everything by host, +but you aren't required to.

+ +

b.       Generally +speaking, tools like Nagios, Zabbix, etc lack the ability to alert off of +free-form metrics. Since StatsAgg uses regular-expressions to tie metrics to +alerts, you can just as easily alert off of a 'free-form metric hierarchy' as +you can a 'highly structured metric hierarchy'.

+ +

c.       Tools +like Nagios, Zabbix, etc aren't built around having fine data point granularity +(more frequent than once per minute). StatsAgg was written to be able to +receive, aggregate, alert on, and output metrics that are sent at any interval.

+ +

·         +StatsD limitations

+ +

a.       StatsD +doesn't allow the TCP server & the UDP server to be active at the same +time. StatsAgg does.

+ +

b.       StatsD +doesn’t persist Gauge metrics, so a restart will result of StatsD ‘forgetting’ +what the previous Gauge metric values were. StatsAgg can be used to persist +Gauge values, so a StatsAgg restart won't result in Gauges resetting +themselves.

+ +

·         +StatsAgg provides a web-based UI for managing +alerts & metrics.

+ +

·         +Performance

+ +

a.       StatsAgg +is Java-based, and has been thoroughly tuned for performance.

+ +

b.       A +server with 2 cpu cores & 4 gigabytes of RAM should have no trouble +processing thousands of metrics per second.

+ +

 

+ +

1.3       +What isn’t +StatsAgg?

+ +

StatsAgg aims only to fill a gap in open-source +monitoring tool stack. The biggest void that it is filling is answering the +question of "how can we alert off of all these metrics that we’re +collecting".

+ +

 

+ +

StatsAgg is not, and likely never will be, a solution +for:

+ +

·         +Metrics dashboarding. There are many great tools +on the market that accomplish this. For example, Grafana.

+ +

·         +Metric storage. OpenTSDB, Graphite, InfluxDB, +etc all are specifically made for metric storage, whereas StatsAgg is mainly +meant to function as a metric ‘pass-through’.

+ +

 

+ +

2    +Installation

+ +

Note: The +installation/deployment process for StatsAgg is somewhat complex (compared to +StatsD). A simpler/streamlined installer for StatsAgg is planned for a future +release.

+ +

2.1       System +requirements

+ +

·         +Java 1.8+ JRE is required

+ +

§  Discussed +this in more detail here.

+ +

·         +Tomcat 8.5+

+ +

§  Other +versions of Tomcat may work, but are untested. Likewise, other application +servers may work (Weblogic, JBoss, etc), but are untested.

+ +

§  Typically +it’s best to use the latest version of Tomcat

+ +

·         +1 CPU core for smaller StatsAgg servers. 4 CPU +cores (or more) for heavy-use StatsAgg servers.

+ +

·         +3GB RAM for smaller StatsAgg servers. 16GB of +RAM (or more) for larger StatsAgg servers.

+ +

·         +1.2GB hard drive space. The main StatsAgg +deployment (along with Tomcat) will take less than 100MB, but StatsAgg is +configured to retain up to 1.1GB of log file data.

+ +

·         +Any OS capable of running Oracle Java 1.8 & +Tomcat 8.5+.
+
+

+ +

2.2       Windows +installation

+ +

1.       Install +Java 1.8+ JRE

+ +

·         +Discussed this in more detail here.

+ +

2.       Install +the latest version of Apache Tomcat using the MSI installer. The following +non-default configuration settings are recommended:

+ +

·         +Check: Install the APR based native .dll +(recommended, not required)

+ +

·         +Check: Service Startup (recommended, not +required)

+ +

·         +Set: HTTP/1.1 connector port = 80 (recommended, +not required)

+ +

3.       (Optional, +Recommended) Add these ‘Java options’ to Tomcat through the Tomcat +configuration application.

+ +

·         +More on this here.

+ +

·         +Xmx (max heap size) a very important setting +& is discussed in more detail here. -Xmx2560m +is merely a suggestion.

+ +

-Xmx2560m

+ +

-XX:+UseG1GC

+ +

-XX:MaxGCPauseMillis=5000
+
+

+ +

 

+ +


+
+

+ +

4.       Configure +Tomcat

+ +

5.       Deploy +StatsAgg to Tomcat

+ +

·         +Stop the "Apache Tomcat Tomcat" +service

+ +

·         +Create a folder in (tomcat-location)/webapps +called "StatsAgg"

+ +

·         +Unzip the StatsAgg file into +(tomcat-location)/webapps/StatsAgg

+ +

6.       Configure +the application.properties +file & the database.properties

+ +

·         +Be especially mindful to properly configure the +database.properties file. If this this isn’t configured properly, StatsAgg may +not function properly.

+ +

7.       Start +the "Apache Tomcat Tomcat" service.
+
+

+ +

2.3       Linux +installation

+ +

Because +installation instructions vary widely based on distro, only high-level +instructions will be provided for Linux deployments.

+ +

1.       Install +a Java 1.8+ JRE

+ +

2.       Install +Tomcat

+ +

a.       Configure +Tomcat to explicitly use the version of Java that was installed in step 1, or +change the OS path to use JDK installed in step 1 as the default JDK.

+ +

3.       Configure +Tomcat

+ +

a.       (Optional, +Recommended) Set Java options.

+ +

                                                               +i.      +Create a file -- (tomcat-location)/bin/setenv.sh

+ +

·         +Make sure the file can be read by the user that +Tomcat runs as

+ +

                                                             +ii.      +Add this line into the file:
+export JAVA_OPTS="-Xmx2560m +-XX:+UseG1GC -XX:MaxGCPauseMillis=5000"

+ +

·         +More on this here.

+ +

·         +Xmx (max heap size) a very important setting +& is discussed in more detail here. -Xmx2560m is merely a suggestion.

+ +

·         +If you have Tomcat configured to read JAVA_OPTS +from some other location, then set the JAVA_OPTS there.

+ +

b.       Make +the changes to server.xml discussed here.

+ +

4.       Deploy +StatsAgg to Tomcat.

+ +

a.       Stop +Tomcat. On many systems, this can be done with "sudo service tomcat +stop".

+ +

b.       Create +a folder in (tomcat-location)/webapps called "StatsAgg"

+ +

c.       Unzip +the StatsAgg war file into (tomcat-location)/webapps/StatsAgg

+ +

5.       Configure +the application.properties +file & the database.properties

+ +

a.       Be +especially mindful to properly configure the database.properties file. If this +file isn’t configured properly, StatsAgg may not function properly.

+ +

6.       Start +Tomcat. On many systems, this can be done with "sudo service tomcat +start".
+
+

+ +

2.4       +Tomcat +configuration

+ +

In the +(Tomcat_Home)/conf/server.xml file, change the HTTP connection to look like +this:
+
+

+ +


+
+<!-- port should be set to whatever port want to interact with the StatsAgg +WebUI on -->
+ <Connector port="80" +protocol="HTTP/1.1"

+ +

connectionTimeout="20000"

+ +

compression="on"

+ +

useSendfile="false"

+ +

compressableMimeType="text/html,text/xml,application/javascript,text/css,application/x-font-woff"

+ +

compressionMinSize="2048" +

+ +

redirectPort="8443" />

+ +


+
+

+ +

2.5       +StatsAgg +configuration

+ +

For StatsAgg to +function properly, a minimum number of configuration settings must be set. This +documentation will point out the most critical fields that need to be set. All +settings are documented in the configuration files.
+
+

+ +

2.5.1        +StatsAgg +application configuration

+ +

StatAgg’s +application configuration file usually requires minimal configuration. That +said, StatsAgg still expects to see a user-maintained application configuration +file (application.properties).

+ +

1.       Edit +"application.properties" @ +(tomcat-location)\webapps\StatsAgg\WEB-INF\config
+Example location (Windows): C:\Program Files\Apache Software +Foundation\Tomcat\webapps\StatsAgg\WEB-INF\config\application.properties

+ +

·         +You can override the default configuration file +location by adding a Java argument to Tomcat: -DsaAppConfLocation="YourLocation"
+Example (Windows): +-DsaAppConfLocation="C:\StatsAgg_Conf\application.properties"

+ +

2.       Put +any values in this file that you want to deviate from the default.

+ +

3.       If +you wish to change any of these values after starting StatsAgg, you will have +to edit the application.properties file and restart StatsAgg.

+ +

 

+ +

The full list +settings, default values, and examples usages can be found in +StatsAgg\WEB-INF\config\example_application.properties

+ +

Some common +settings to put in the application.properties file include:

+ +

·         +Output to Graphite

+ +

o   +graphite_output_module_1 = +true,graphite-server.some-domain.com,2003,2,1000,true,true

+ +

·         +Output to OpenTSDB

+ +

o   +opentsdb_telnet_output_module_1 = +true,opentsdb-server.some-domain.com,4242,2,true

+ +

·         +Output to InfluxDB

+ +

o   +influxdb_v1_output_module_1 = +true,http://influxdb-server.some-domain.com:8086/,2,10

+ +

·         +Enabling email alerts

+ +

o   +alert_send_email_enabled = true

+ +

o   +alert_statsagg_location = (url of your StatsAgg +deployment. Ex: http://some-domain.com/StatsAgg)

+ +

o   +Fill in the alert_smtp_* settings with the +details of your SMTP server.

+ +

·         +Prefix StatsAgg output. This groups all +StatsAgg output together in Graphite via a top-level directory.

+ +

o   +global_metric_name_prefix_enabled = true

+ +

o   +global_metric_name_prefix_value = statsagg
+
+

+ +

2.5.2        +StatsAgg +database configuration

+ +

StatsAgg uses a +relational database for storing StatsD Gauge values, metric group info, alert +info, etc. The database is NOT used for storage of metric data +(Graphite/OpenTSDB/InfluxDB/etc is used for this). StatsAgg supports two +different database technologies: Apache Derby Embedded & MySQL.

+ +

StatsAgg expects to +see a user-created database configuration file (database.properties). If one is +not specified, then StatsAgg will use an ephemeral (in-memory) database. While +functional, the ephemeral database will lose all its data as soon as StatsAgg +is shutdown or restarted. For users that don’t care about StatsAgg’s alerting +capabilities & just want to use StatsAgg as a StatsD metric aggregator, +this mode should work just fine. Please note that when StatsAgg fails to connect +to a database that you have assigned to it, it may instead attempt to use +ephemeral database.
+
+

+ +

2.5.2.1       Apache +Derby Embedded

+ +

This is the +default database type, and the simplest to configure. The advantages of using +Apache Derby are…

+ +

·         +No separate server needed.

+ +

·         +The engine runs inside the StatsAgg JVM, so +there is 0 query latency.

+ +

·         +Minimal configuration required.

+ +

·         +Upgrades to the database engine are embedded +into the StatsAgg deployment.

+ +

·         +No worries about losing database connectivity.

+ +

 

+ +

The +disadvantages of using this database type are…

+ +

·         +Due to engine limitations, this database will +perform worse than MySQL when processing large numbers of Gauge metrics.

+ +

·         +You can’t connect to the database from an +external client while StatsAgg is running. This is a limitation inherit in +Apache Derby Embedded.

+ +

·         +Less community support than MySQL.

+ +

·         +Backup mechanisms are less robust.

+ +

·         +The database engine uses up JVM heap space, +leaving less room for the rest StatsAgg’s data.

+ +

 

+ +

If you choose to +use Apache Derby, then the steps to configure StatsAgg to use it are…

+ +

1.       Edit +"database.properties" @ +(tomcat-location)\webapps\StatsAgg\WEB-INF\config
+Example location (Windows): C:\Program Files\Apache Software +Foundation\Tomcat\webapps\StatsAgg\WEB-INF\config\database.properties

+ +

·         +You can override the default configuration file +location by adding a Java argument to Tomcat: -DsaDbConfLocation="YourLocation"
+Example (Windows): +-DsaDbConfLocation="C:\StatsAgg_Conf\database.properties"

+ +

2.       Create +a folder somewhere on your StatsAgg server for the database data. StatsAgg must +have read/write permissions to this folder. In the database.properties file, +assign the location of this folder to the variable ‘db_localpath’.

+ +

·         +Failure to perform this step may lead to Apache +Derby attempting to create the database at a location of its choosing (ex – at +the root of your filesystem).

+ +

3.       The +settings listed below are the recommended set of database.properties settings +for Apache Derby Embedded.
+

+#database.properties settings
+cp_max_connections = 50

+ +

cp_acquire_retry_attempts = 3

+ +

cp_acquire_retry_delay = 250

+ +

cp_connection_timeout = 5000

+ +

cp_enable_statistics = false

+ +

cp_default_auto_commit = false

+ +

connection_validity_check_timeout = 5
+
+# Set db_localpath to the location created in step #2. Example: +C:\\StatsAgg\\Data
+# Set the username/password to whatever values you deem appropriate.

+
db_type += derby_embedded

+ +

db_localpath =

+ +

db_name = statsagg_db

+ +

db_username =

+ +

db_password =

+ +

db_attributes = create=true;upgrade=true;
+
+

+ +

derby.system.home = ${db_localpath}

+ +

derby.infolog.append = true

+ +

derby.stream.error.file = +${db_localpath}${file.separator}${db_name}${file.separator}log${file.separator}db_log.txt     

+ +

derby.storage.pageSize = 16384

+ +

derby.storage.pageCacheSize = 15000

+ +

 

+ +

A full list +settings, default values, and examples usages can be found in +StatsAgg\WEB-INF\config\example_database.properties
+
+

+ +

2.5.2.2       MySQL

+ +

MySQL can be +used instead of Apache Derby. MySQL is recommended for more customers that +require a more enterprise-friendly database. The advantages of MySQL are…

+ +

·         +Faster than Apache Derby at processing amounts +of StatsD Gauge metrics.

+ +

·         +Database processing can be performed on a +separate server from the StatsAgg server. This has the overall effect freeing +up resources on the StatsAgg server.

+ +

·         +You can connect to the database from an external +client while StatsAgg is running.

+ +

·         +Backup mechanisms are robust.

+ +

 

+ +

The +disadvantages of using this database type are…

+ +

·         +Runs as a separate process from StatsAgg. If the +database goes down (or becomes unavailable to StatsAgg), StatsAgg will not +function properly.

+ +

o   +Without a restart, StatsAgg doesn’t guarantee a +complete recovery from a database connectivity issue. It is recommended that +StatsAgg be restarted if there is a MySQL connectivity loss.

+ +

·         +Complicated configuration (compared to Apache +Derby).

+ +

 

+ +

If you choose to +use MySQL, then the steps to configure StatsAgg to use it are…

+ +

1.       Install/configure +MySQL 5.6+

+ +

·         +MySQL community edition 5.6+, Percona Server +5.6+, and MariaDB 10+ are supported.

+ +

·         +MySQL’s configuration can get really complex. +The MySQL configuration settings listed below are required to ensure that +StatsAgg functions properly. Note that there are MANY other settings that can +be set on MySQL to achieve faster performance, greater durability, etc, but +those are out-of-scope for this documentation.
+

+#In my.ini on Windows. On Linux, set in my.cnf.
+explicit_defaults_for_timestamp = 1
+innodb_file_format = Barracuda
+innodb_file_format_max = Barracuda
+innodb_file_per_table = ON
+innodb_large_prefix = ON
+innodb_strict_mode = ON

+ +

2.       Connect +to MySQL & run "create database statsagg;"

+ +

3.       Create +appropriate usernames, passwords, and privileges on the MySQL server. Make sure +that the user that the StatsAgg application connects as has full +grants/privileges on the ‘statsagg’ database that was created in step 1.

+ +

4.       Edit +"database.properties" @ +(tomcat-location)\webapps\StatsAgg\WEB-INF\config
+Example location (Windows): C:\Program Files\Apache Software +Foundation\Tomcat\webapps\StatsAgg\WEB-INF\config\database.properties

+ +

·         +You can override the default configuration file +location by adding a Java argument to Tomcat: -DsaDbConfLocation="YourLocation"
+Example (Windows): +-DsaDbConfLocation="C:\StatsAgg_Conf\database.properties"

+ +

5.       The +settings listed below are the recommended set of database.properties settings +for MySQL.
+
+

+ +

#database.properties settings
+cp_max_connections = 50

+ +

cp_acquire_retry_attempts = 3

+ +

cp_acquire_retry_delay = 250

+ +

cp_connection_timeout = 1000

+ +

cp_enable_statistics = false

+ +

cp_default_auto_commit = false

+ +

connection_validity_check_timeout = 1
+
+# Set the hostname/port to point to the server that MySQL runs on. If running +MySQL on the same server as StatsAgg, use db_hostname=127.0.0.1
+# Set the username/password to whatever values you deem appropriate.

+
db_type += mysql

+ +

db_hostname =

+ +

db_port = 3306

+ +

db_name = statsagg

+ +

db_username =

+ +

db_password =

+ +

db_attributes = +autoReconnect=true&failOverReadOnly=false&maxReconnects=1

+ +

 

+ +


+Notes

+ +

·         +A full list settings, default values, and examples +usages can be found in StatsAgg\WEB-INF\config\example_database.properties

+ +

·         +StatsAgg was only tested against MySQL 5.6. +However, it should work on MySQL 5.5+ (the author has no intentions of testing +on any platform lower than MySQL 5.6).

+ +

·         +StatsAgg expects/requires a +low-latency/high-bandwidth connection to the MySQL database. If such a +connection isn’t available, then it is recommended that Apache Derby Embedded +be used instead.
+
+

+ +

2.5.2.3       Apache +Derby vs MySQL

+ +

The author of +StatsAgg generally recommends Derby over MySQL. Derby is simpler to setup, has +adequate performance for almost all use-cases, is incapable of being +unavailable (at least independently of the application), and is more portable. +MySQL is generally only recommended for users that want to standardize around a +MySQL tech-stack (which may make backups easier, etc), or are trying to achieve +higher performance (depending on the use-case, MySQL can be faster).
+
+

+ +

2.5.3        +StatsAgg WebUI security configuration (optional)

+ +

The initial +release plans for StatsAgg did not include any form of security for the WebUI. +However, since Tomcat provides a mechanism for relatively easy/simple +authentication, StatsAgg can be configured to use authentication.

+ +

 

+ +

This can be +accomplished via the following steps:

+ +

1.       Open +"(tomcat-location)\webapps\StatsAgg\WEB-INF\web.xml" in a text editor

+ +

a.       +Uncomment the <security-constraint> & +<login-config> sections

+ +

2.       Open +"(tomcat-location)\conf\tomcat-users.xml" in a text editor

+ +

a.       +Add the following roles & users into the +<tomcat-users> section. Substitute your own passwords.
+
<role +rolename="statsagg-admin"/>

+ +

<user +username="admin" password="somePW_1" +roles="statsagg-admin"/>

+ +

<role rolename="statsagg-read-only"/>
+<user username="guest" password="somePW_2" +roles="statsagg-read-only"/>

+ +

3.       Restart +Tomcat

+ +


+
+

+ +

Notes

+ +

·         +Without securing the wire traffic, Tomcat’s +authentication mechanism is not particularly secure. Ideally, HTTP traffic +should be SSL encrypted. It is up to the user to configure this.

+ +

·         +StatsAgg currently does not provide a ‘logout’ +mechanism. Usually closing & reopening your browser will accomplish this.

+ +

·         +Authentication is NOT enabled by default
+
+

+ +

2.6       Updating/upgrading

+ +

StatsAgg can be +upgraded relatively easily, but it still requires some hand-holding. As the +product matures, the upgrade process may get easier.

+ +

Upgrade by +following these steps:

+ +

1.       Stop +Tomcat (this can sometimes take over 30 seconds)

+ +

2.       If +you are using the ‘DsaAppConfLocation’ and ‘DsaDbConfLocation’ JVM options to +point to configuration files outside of the StatsAgg deployment, then you can +skip this step. If you use applications.properties & database.properties +files are inside of the application deployment (@ +(tomcat-location)\webapps\StatsAgg\WEB-INF\config), then you must save these +files somewhere for later access.

+ +

3.       Update +the StatsAgg database as directed by the release notes.

+ +

a.       +StatsAgg database update SQL statements reside @ +(tomcat-location)\webapps\StatsAgg\WEB-INF\sql

+ +

b.       +You must apply all updates from between your +current version & the version you are deploying. For example, if you are +upgrading from version 1.0 to version 1.2, then you should apply the database +updates listed in "Upgrade to 1.1.txt" and "Upgrade to +1.2.txt".

+ +

c.       +If using an Apache Derby database, these changes +can be manually applied by connecting to the database tool like "SQuirreL +SQL" & running the listed SQL statements. If using a MySQL database, +the same approach can be used with a tool like "MySQL Workbench". +There are several other tools that can perform this task; these are just the +ones that the StatsAgg author recommends.

+ +

4.       Delete +contents of the StatsAgg deployment @ (tomcat-location)\webapps\StatsAgg

+ +

5.       Unzip +the StatsAgg new war file contents into (tomcat-location)\webapps\StatsAgg

+ +

6.       (only +if you performed step 2) Move your application.properties & +database.properties files back into the StatsAgg deployment @ +(tomcat-location)\webapps\StatsAgg\WEB-INF\config

+ +

7.       Update +the application.properties and/or database.properties files as needed.

+ +

a.       Review +‘example_application.properties’ & ‘example_database.properties’ to see if +any changes to your configuration settings are needed.

+ +

8.       Review +the release notes to make sure that there isn’t anything new/important that you +have to know about for the new release.

+ +

9.       Start +Tomcat

+ +

2.7       Configuring +for High Availability

+ +

Due to the +nature of how StatsAgg aggregates, stores, and alerts on metrics, StatsAgg is +not capable of being truly highly available. That is to say, the architecture +only supports one StatsAgg server handling incoming metric traffic at any given +time.

+ +

 

+ +

In the event of +a server failure, downtime can be minimized if StatAgg is deployed in a way +similar to this:

+ +

·         +Deploy StatsAgg to two separate servers. +Configure them identically, but only one start Tomcat on one of the servers. +The server that is running Tomcat will be considered the ‘active’ node, and the +server that is not running Tomcat will be considered the ‘standby’ node.

+ +

o   +Use DNS (or so other traffic direction +mechanism) to direct all traffic to the ‘active’ StatsAgg node.

+ +

o   +In the event of a failure on the ‘primary’ node, +start Tomcat on the ‘standby’ node & switch the DNS (or so other traffic +direction mechanism) to point to the ‘standby’ node.

+ +

·         +In a normal active/standby deployment, StatsAgg +should use MySQL for its database. 

+ +

o   +Alternatively, one could use a Apache Derby +database (which would be local to the active node) & mirror the data to the +standby node.

+ +

·         +StatsAgg’s MySQL database can be configured to +be highly available via several mechanisms.

+ +

o   +MySQL can run in a master/slave configuration, +where the slave can be promoted to the master in the event of hardware failure. +StatsAgg should always point to whichever node is the master node.

+ +

§  +If this mechanism is used, then make sure to use +‘row’ based replication. Also, be aware that in the event of a failover from +the master to the slave, there could be a small amount of data loss.

+ +

o   +One can run a MySQL Galera cluster. This +configuration will work with StatsAgg.

+ +

o   +MySQL NDB clusters may work, but are not +formally supported.

+ +

3    Metric +inputs/outputs

+ +

3.1       +Terminology

+ +

StatsAgg supports +multiple metric formats, and this documentation tries to use the naming +convention that is appropriate for each metric-type. This makes the +documentation easier for people that know their specific metric format, but it +also means that the same thing can go by several different names. Listed below +are some of the naming conventions used.

+ +

‘The identifier of a metric’
+StatsD calls this a ‘bucket’
+Graphite calls this a ‘metric-path’
+OpenTSDB calls this a ‘metric’, through OpenTSDB also supports tags on metrics. +
+Many metric storage engines call this a ‘metric-series’
+StatsAgg refers to this as a ‘metric-key’

+ +

‘Metric-key + metric-value’
+
This combination is often referred to as a ‘data point’.
+This combination is sometimes referred to as a ‘metric’
+
+

+ +

3.2       Graphite +metrics

+ +

3.2.1        +Overview

+ +

Graphite is a popular tool for visualizing & storing +time-series data. Among open-source tools that provide this functionality, +Graphite was a pioneer. Many other tools are compatible with the Graphite +format, so providing native support for Graphite metrics was a core design goal +in StatsAgg.

+ +

 

+ +

By default, StatsAgg can listen for Graphite ‘plaintext’ +metrics on ports 2003 & 22003 (TCP & UDP, on both ports). Port 2003 is +used for Graphite ‘passthrough’ metrics, and port 22003 is used for Graphite +‘aggregated’ metrics. For more information on the distinction between +‘passthrough’ and ‘aggregated’, please read about ‘passthrough’ and ‘aggregated’ graphite metrics.
+
+StatsAgg does not currently support receiving Graphite metrics in the ‘pickle +protocol’.

+ +

 

+ +

3.2.2        +Metric format

+ +

The Graphite format is: metricPath metricValue +unixEpochTime\n

+ +

Example: some.descriptive.name.for.a.metric 123.643 +1408334418\n

+ +

 

+ +

Notes:

+ +

·         +Every individual metric MUST end with a newline +character.

+ +

·         +The maximum size of a single metric (metric + +timestamp + value + whitespace) must be less than 32767 characters long.

+ +

·         +StatsAgg can handle metric values of almost any +size & scale, with a few limitations.

+ +

o   Graphite +may not be able to handle extremely large and/or small numbers.

+ +

o   ‘Aggregated’ +Graphite metrics will round to 7 decimal places.

+ +

·         +Sending multiple metrics in a single TCP or UDP +push is allowed, but every individual metric must end in a newline character.

+ +

o   Example: +some.descriptive.name.for.a.metric1 123 +1408334418\nsome.descriptive.name.for.a.metric2 456 1408334418\n

+ +

o   Sending +more than a few metrics per UDP push is not recommended (due to limitations in +the UDP protocol).

+ +

·         +In the actual Graphite program, several +characters are not allowed in metric-paths. Some examples include (but are not +limited to): ‘%’, ‘\’, ‘/’, ‘[‘, ‘]’, ‘{‘, ‘}’, ‘ ‘.

+ +

o   It +is up to the program sending the Graphite metrics to use an ‘allowed’ character +set. StatsAgg will not reformat/correct metrics that use characters that don’t +play well with Graphite.

+ +

·         +In the actual Graphite program, the ‘.’ +character is used to create folders between the metric-path descriptors.

+ +

o   This +is only relevant if you intend on outputting your metrics to Graphite for +visualization.

+ +

o   Example: +folder1.folder2.value1 123 1408334418\n folder1.folder2.value2 456 1408334418\n

+ +

o   folder1
+   - folder2

+ +

      * value1=123

+ +

      * value2=456

+ +

·         +StatsAgg doesn’t know/care that the ‘.’ +character is used for creating folder hierarchies, nor does it know/care about +other ‘special’ characters. These are distinctions that matter to the actual +Graphite program, but not to StatsAgg.

+ +

 

+ +

3.2.3        + ‘Passthrough’ metrics

+ +

By default, port 2003 is used for Graphite ‘passthrough’ +metrics. The inputs to ‘passthrough’ Graphite metrics are normal/plain Graphite +metrics. The ‘passthrough’ aspect refers to how StatsAgg handles the metrics. +‘Passthrough’ means that StatsAgg performs no aggregation on the metrics. All +metrics that are received as inputs are also capable of being outputted. In +other words, every metric that is sent to StatsAgg is simply ‘passing through’.

+ +

 

+ +

Why use ‘passthrough’ Graphite metrics?

+ +

·         +You don’t benefit from aggregating metrics if +you send Graphite metrics less frequently than the StatsAgg ‘flush interval’.

+ +

·         +Aggregating Graphite metric uses far more CPU +resources on StatsAgg servers than ‘passthrough’ Graphite metrics does.

+ +

·         +Graphite ‘passthrough’ metrics are the most +lightweight metric type that StatsAgg is capable of processing.

+ +

·         +StatsAgg’s built-in alerting mechanism can alert +on Graphite ‘passthrough’ metrics.

+ +

 

+ +

Notes:

+ +

·         +In the actual Graphite program, metrics that +have the same metric-path & timestamp overwrite each other. StatsAgg +doesn’t know/care about this, and if metrics are sent with the same metric-path +& timestamp, StatsAgg will pass all the metrics through.
+
+

+ +

3.2.4        + ‘Aggregated’ metrics

+ +

By default, port 22003 is used for Graphite ‘aggregated’ +metrics. The inputs to ‘aggregated’ Graphite metrics are normal/plain Graphite +metrics. The ‘aggregated’ aspect refers to how StatsAgg handles the metrics. +‘Aggregated’ means that StatsAgg will aggregate the Graphite metrics that are +sent to it.

+ +

 

+ +

Aggregation works as follows:

+ +

1)      +StatsAgg receives Graphite metrics.

+ +

2)      +Every ‘flush interval’ (10 seconds, by default), +StatsAgg will aggregate the Graphite metrics.

+ +

a.       The +values from identical metric-paths are aggregated together.

+ +

b.       StatsAgg +will output the following aggregated metrics: Count of metrics received for a +given metric-path, rate (per second) of metrics received for a given +metric-path, average value, median value, minimum value, maximum value, sum of +values

+ +

c.       All +values are rounded to 7 decimal places.

+ +

d.       The +timestamps are averaged together.

+ +

3)      +Only the aggregated values are capable of being +alerted on & outputted. The original metric values are discarded after they +are aggregated.

+ +

 

+ +

 

+ +

Example:

+ +

folder1.folder2.value1 4 +1408334415\n

+ +

folder1.folder2.value1 2 +1408334416\n

+ +

folder1.folder2.value1 8 +1408334417\n

+ +

folder1.folder2.value1 10 +1408334418\n

+ +

folder1.folder2.value1 6 +1408334419\n

+ +

 

+ +

                is +aggregated into (assuming a ‘flush interval’ of 10 seconds)…

+ +

 

+ +

folder1.folder2.value1.Count 5 +1408334417\n

+ +

folder1.folder2.value1.Rate-Sec +0.5 1408334417\n

+ +

folder1.folder2.value1.Avg 6 +1408334417\n

+ +

folder1.folder2.value1.Median 6 +1408334417\n

+ +

folder1.folder2.value1.Sum 30 +1408334417\n

+ +

folder1.folder2.value1.Min 2 +1408334417\n

+ +

folder1.folder2.value1.Max 10 +1408334417\n

+ +

 

+ +

 

+ +

On an aggregation, all the metric values associated with +a metric-path are aggregated together & the following metrics are +outputted:

+ +

·         +Count (the count of ‘how many metrics were in a +metric-path’s list of metrics’)

+ +

·         +Rate-Sec (the per-second rate of ‘how many +metrics were in a metric path’s list of metrics’)

+ +

o   Rate-Sec += Count/flush_interval

+ +

·         +Avg (the average value of a metric-path’s list +of metrics)

+ +

·         +Median (the median value of a metric-path’s list +of metrics)

+ +

·         +Sum (the sum of a metric-path’s list of metrics)

+ +

·         +Mix (the minimum value of a metric-path’s list +of metrics)

+ +

·         +Max (the largest value of a metric-path’s list +of metrics)

+ +

 

+ +

 

+ +

Why use ‘aggregated’ Graphite metrics?

+ +

·         +In the actual Graphite program, metrics that +have the same metric-path & timestamp overwrite each other. Aggregating +metrics in StatsAgg preserves the range of values for the metric-path that were +sent during the ‘flush interval’.

+ +

o   Warning: +if the current ‘averaged metric timestamp’ for a metric-path is the same as a +previously outputted ‘averaged metric timestamp’, then the new aggregated +metrics will overwrite the previous aggregated metrics in the actual Graphite +application.

+ +

·         +StatsAgg’s built-in alerting mechanism can alert +on the aggregated metrics.

+ +

·         +Performance – if you’re sending lots of metrics +with the same metric-path, StatsAgg may perform better you aggregate these +metrics (as opposed to using the StatsAgg Graphite ‘pass-through’ interface).

+ +

·         +Example use-case: you send a metric-path, such +as CPU %, very frequently (ex, once per second). You want to know the range of +values that were sent, but you don’t want to store every individual data point.

+ +

 

+ +

3.3       +StatsD metrics

+ +

3.3.1        +Overview

+ +

StatsD is a popular protocol/program for +sending/aggregating data. While StatsD has a time-series component to it, the +protocol does not send timestamps. StatsD is oriented toward sending business +metrics & leaving it up to the metric receiver (the official StatsD app, +StatsAgg, etc) to make sense of them. By default, StatsAgg will listen for +StatsD metrics on ports 8125 (TCP & UDP, on both ports).

+ +

 

+ +

StatsD works as follows:

+ +

1)      +StatsAgg receives StatsD metrics.

+ +

2)      +Every ‘flush interval’ (10 seconds, by default), +StatsAgg will aggregate the StatsD metrics.

+ +

a.       The +values from identical metric-paths are aggregated together (the aggregation +logic will depend on their metric type).

+ +

b.       All +aggregations that involve division will round to 7 decimal places.

+ +

c.       The +timestamps are averaged together.

+ +

3)      +The aggregated metrics are made available to +StatsAgg’s alerting & outputting routines.

+ +

 

+ +

A good-faith effort was made to accurately re-implement +the StatsD protocol in StatsAgg. As of Spring 2015, StatsAgg’s StatsD protocol +implementation mirrors the behavior of every variation of every StatsD +metric-type. However, there are implementation differences that users should be +aware of. Please read the metric format section for more details.

+ +

 

+ +

Note – if you prefer to use the actual StatsD application +along with StatsAgg, then that configuration should work fine. Just have StatsD +output Graphite metrics to StatsAgg.
+
+

+ +

3.3.2        +Metric format

+ +

The metric format closely mirrors the format of the +official StatsD application.

+ +

The official StatsD documentation can be found here: https://github.com/etsy/statsd/blob/master/docs/metric_types.md

+ +

 

+ +

General format: bucket:metricValue|metricType\n

+ +

 

+ +

Notes:

+ +

·         +StatsD calls the name of a metric a +"bucket" (instead of ‘metric-path’, ‘metric key’, etc)

+ +

·         +The maximum size of a single metric (bucket + +value + type) must be less than 32767 characters long.

+ +

·         +Best practice is to end metrics in a ‘\n’ +character.

+ +

o   This +is required for sending metrics via TCP.

+ +

o   This +is not required for sending individual UDP metrics, but newlines are required +for sending multiple metrics in a single UDP post.

+ +

·         +There are minor implementation differences +between how the official StatsD application works compared to StatsAgg. Please +read notes for each metric type for details.

+ +

 

+ +

Below is a list of StatsD formats that StatsAgg supports.

+ +

 

+ +

3.3.2.1       +Counters

+ +

Format: bucket:metricValue|c

+ +

Example:

+ +

myBucket:15.5|c

+ +

myBucket:3|c

+ +

myBucket:-9|c

+ +

 

+ +

… outputs (assuming a ‘flush +interval’ of 10 seconds):

+ +

myBucket.count = 9.5

+ +

myBucket.rate = .95

+ +

 

+ +

 

+ +

This is a simple counter. The input values are added +together at each ‘flush interval’, and then output. Two outputs are generated: +a count (which is the sum of the aggregated values), and a per-second rate +(count/’flush interval’).

+ +

 

+ +

The counts & sums from different ‘flush interval’ +windows are NOT aggregated together. Only metrics that arrive during the +current ‘flush interval’ are aggregated together. If you want StatsAgg to +aggregate metrics over multiple flush intervals, then you must use a ‘gauge’ +metric.

+ +

 

+ +

count & rate reset to 0 after each aggregation.

+ +

 

+ +

Note:

+ +

·         +StatsAgg does support the StatsD ‘legacy +namespacing’ convention, but it is not enabled by default. Please consult the +application configuration file for more details.

+ +

·         +If no new metrics are received by StatsAgg for a +bucket during a flush interval, StatsAgg can be configured to output either ‘0’ +or nothing.

+ +

o   The +default behavior of StatsAgg is to send ‘0’.

+ +

o   After +a restart, StatsAgg forgets bucket names for counter metrics. As a result, if +StatsAgg is configured to output ‘0’ for a counter-metric that has had a new +value, StatsAgg won’t begin outputting ‘0’ again until this bucket receives at +least one new data point. 

+ +

o   After +a restart, StatsAgg forgets bucket names for StatsD counter metrics. As a +result, StatsAgg won’t be capable of outputting ‘0’s for a bucket until it +receives at least one new data point for that bucket (assuming that StatsAgg is +configured to output ‘0’ for a bucket that hasn’t recently had a new value).

+ +

 

+ +

3.3.2.2       +Sampling-based counters

+ +

Format: bucket:metricValue|c|@samplePercent

+ +

Example:

+ +

myBucket:15.5|c|@0.1

+ +

myBucket:3|c|@0.5

+ +

 

+ +

… outputs (assuming a ‘flush +interval’ of 10 seconds):

+ +

myBucket.sum = 161

+ +

myBucket.rate_ps = 16.1

+ +

 

+ +

 

+ +

Sampling based counters work the same way as regular +counters, but the metric value is divided by the sampling percentage. In the +example, the sampling percentage for the value of ‘15.5’ is 10%. The sampling +percentage for the value of ‘3’ is 50%. The math works as follows: (15.5 / 0.1) ++ (3 / 0.5) = 161.

+ +

 

+ +

Sum & rate reset to 0 after each aggregation.

+ +

 

+ +

Note:

+ +

·         +Note: regular counter & sampling-based +counters can safely be used together on the same bucket.

+ +

·         +StatsAgg does support the StatsD ‘legacy +namespacing’ convention, but it is not enabled by default. Please consult the +application configuration file for more details.

+ +

·         +If no new metrics are received by StatsAgg for a +bucket during a flush interval, StatsAgg can be configured to output either ‘0’ +or nothing.

+ +

o   The +default behavior of StatsAgg is to send ‘0’.

+ +

o   After +a restart, StatsAgg forgets bucket names for StatsD counter metrics. As a +result, StatsAgg won’t be capable of outputting ‘0’s for a bucket until it +receives at least one new data point for that bucket (assuming that StatsAgg is +configured to output ‘0’ for a bucket that hasn’t recently had a new value).

+ +

 

+ +

3.3.2.3       +Gauges

+ +

Format: bucket:metricValue|g

+ +

Example:

+ +

myBucket:+4|g

+ +

myBucket:15.5|g

+ +

myBucket:+0.5|g

+ +

myBucket:-3|g

+ +

 

+ +

… outputs "myBucket = +13". This is because …

+ +

                0 +(starting value) - 4 = -4

+ +

                Set +to 15.5 (‘set’ values always overwrite the previous value)

+ +

                15.5 ++ 0.5 = 16

+ +

                16 - +3 = 13

+ +

 

+ +

Gauges are arbitrary values. They can be static (‘set’) +values or additive values. ‘Additive’ values are prefixed by +/- signs. ‘Set’ +values do not include an operator ("+" or "-"). Anytime a +‘set’ gauge is encountered, it immediately overwrites whatever the previous +value of the gauge was. ‘Additive’ values add or subtract from the previous +gauge value.

+ +

 

+ +

Gauges can be very timing sensitive because a mixed +series of ‘set’ & ‘additive’ gauges can result in major differences to the +gauge value (depending on the order that the metrics are received). StatsAgg +tags each incoming gauge metric at the exact moment it is received, so Gauges +are processed in completely in sequence.

+ +

 

+ +

Unlike all other StatsD metric types, the value of a +gauge metric persists after every aggregation. That means that you can add or +subtract values to a gauge across an infinite period of time & never have +the metric reset to 0 (unless you purposefully set it to 0).

+ +

 

+ +

Notes:

+ +

·         +A nuance of the Gauge metric type is that you +can’t ‘set’ a Gauge to a negative value without first setting the Gauge to 0. +This is because the ‘-‘ sign is always interpreted as the operator for an +‘additive’ Gauge.

+ +

·         +If no new metrics are received by StatsAgg for a +bucket during a flush interval, StatsAgg can be configured to output either +"the gauge’s value from the previous flush-interval’s aggregation" or +nothing.

+ +

o   If +StatsAgg is configured to ‘send previous values when no new value is received’ +and to ‘persist statsd gauges’, then gauges values are persisted in StatsAgg’s +database. That means that when StatsAgg is restarted, the last known gauge +value is automatically loaded into StatsAgg. Also, additive values are executed +against whatever the previous value of the gauge was. In this configuration, +gauge values will never reset to 0.

+ +

o   If +StatsAgg configured to ‘send nothing when no new value is received’, then gauge +values are reset to 0 after each StatsD aggregation.

+ +

o   The +default behavior of StatsAgg is to send the gauge’s previous value & to +persist gauges into the StatsAgg database.

+ +

 

+ +

3.3.2.4       +Timers

+ +

Format: bucket:metricValue|ms

+ +

Example:

+ +

myBucket: 4|ms

+ +

myBucket:12|ms

+ +

myBucket:2|ms

+ +

 

+ +

… outputs (assuming a ‘flush +interval’ of 10 seconds. For percentile values, assume the 70th +percentile):

+ +

myBucket.count = 3

+ +

myBucket.count_70 = 2

+ +

myBucket.count_ps = 0.3

+ +

myBucket.lower = 2

+ +

myBucket.mean = 6

+ +

myBucket.mean_70 = 3

+ +

myBucket.median = 6

+ +

myBucket.std = 4.32

+ +

myBucket.sum = 18

+ +

myBucket.sum_70 = 6

+ +

myBucket.sum_squares = 164

+ +

myBucket.sum_squares_70 = 20

+ +

myBucket.upper = 12

+ +

myBucket.upper_70 = 4

+ +

 

+ +

Like counter, timers also support sampling. Metric +sampling alters the timer ‘count’ and ‘count_ps’ metrics.

+ +

Example: myBucket:12|ms|@0.1

+ +

In the above example, the +sample-rate is ‘0.1’. This results in ‘count’ and ‘count_ps’ being multiplied +by 10.

+ +

 

+ +

Timer metrics are the most complex/heavy metric type that +StatsD supports. The input is expected to be in the form of a time (in +milliseconds), but it can be any arbitrary list of values. On an aggregation, +all the metric values associated with a bucket are aggregated together & +the following metrics are outputted:

+ +

·         +count (the count of ‘how many metrics were in a +bucket’s list of metrics’)

+ +

o   If +a sample rate was used, then the formula is: count = count/sample_rate

+ +

·         +count_ps (the per-second rate of ‘how many metrics +were in a bucket’s list of metrics’)

+ +

o   count_ps += count/flush_interval

+ +

o   If +a sample rate was used, then the formula is: count_ps = +count/flush_interval/sample_rate

+ +

·         +count_nth (the count of ‘how many metrics were +in a within the bucket’s nth percentile of metrics’)

+ +

o   The +‘nth’ part of ‘count_nth’ is the numeric value of the nth percentile that is +calculated. Example: ‘count_40’

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th +percentile count is ‘3’.

+ +

·         +count_topnth (the count of ‘how many metrics were +in a within the bucket’s top nth percentile of metrics’)

+ +

o   The +‘nth’ part of ‘top_topnth’ is the numeric value of the top nth percentile that +is calculated. Example: ‘count_top40’

+ +

o   When +a negative nth percentile is specified by the user, this makes StatsD present +the ‘top’ nth percentile.

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th +percentile (user specified ‘-35’) count is ‘3’.

+ +

·         +lower (the smallest value of a bucket’s list of +metrics)

+ +

·         +lower_topnth (the smallest value, within the top +nth percentile, of a bucket’s metrics)

+ +

o   The +‘nth’ part of ‘lower_nth’ is the numeric value of the nth percentile that is +calculated. Example: ‘lower_top40’

+ +

o   When +a negative nth percentile is specified by the user, this makes StatsD present +the ‘top’ nth percentile.

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th +percentile (user specified ‘-35’) lower is ‘675’.

+ +

·         +mean (the  +average of a bucket’s list of metrics)

+ +

·         +mean_nth (the average of a bucket’s nth +percentile of metrics)

+ +

o   The +‘nth’ part of ‘mean_nth’ is the numeric value of the nth percentile that is +calculated. Example: ‘mean_40’

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th +percentile mean is ‘301.3333333’.

+ +

·         +mean_topnth (the average of a bucket’s top nth +percentile of metrics)

+ +

o   The +‘nth’ part of ‘mean_topnth’ is the numeric value of the top nth percentile that +is calculated. Example: ‘mean_top40’

+ +

o   When +a negative nth percentile is specified by the user, this makes StatsD present +the ‘top’ nth percentile.

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th +percentile (user specified ‘-35’) mean is ‘837.6666667’.

+ +

·         +median (the median value of a bucket’s list of +metrics)

+ +

·         +std (the ‘population standard deviation’ of a +bucket’s list of metrics).

+ +

·         +sum (the sum of a bucket’s list of metrics)

+ +

·         +sum_nth (the sum of a bucket’s nth percentile of +metrics)

+ +

o   The +‘nth’ part of ‘sum_nth’ is the numeric value of the nth percentile that is +calculated. Example: ‘sum_40’

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th +percentile sum is ‘904’.

+ +

·         +sum_topnth (the sum of a bucket’s top nth +percentile of metrics)

+ +

o   The +‘nth’ part of ‘sum_topnth’ is the numeric value of the top nth percentile that +is calculated. Example: ‘sum_top40’

+ +

o   When +a negative percentile is specified by the user, this makes StatsD present the +‘top’ nth percentile.

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th +percentile (user specified ‘-35’) sum is ‘2513’.

+ +

·         +sum_squares (the ‘sum of squares’ of a bucket’s +list of metrics)

+ +

o   sum_squares += metricValueA^2  +  metricValueB^2 + …

+ +

·         +sum_squares_nth (the ‘sum of squares’ of a +bucket’s nth percentile of metrics)

+ +

o   The +‘nth’ part of ‘sum_squares_nth’ is the numeric value of the nth percentile that +is calculated. Example: ‘sum_squares_40’

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th +percentile ‘sum of squares’ is ‘328456’.

+ +

·         +sum_squares_topnth (the ‘sum of squares’ of a +bucket’s top nth percentile of metrics)

+ +

o   The +‘nth’ part of ‘sum_squares_topnth’ is the numeric value of the top nth +percentile that is calculated. Example: ‘sum_squares_top40’

+ +

o   When +a negative percentile is specified by the user, this makes StatsD present the +‘top’ nth percentile.

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the top 35th +percentile (user specified ‘-35’) ‘sum of squares’ is ‘2155997’.

+ +

·         +upper (the largest value of a bucket’s list of +metrics)

+ +

·         +upper_nth (the large value, within the nth +percentile, of a bucket’s metrics)

+ +

o   The +‘nth’ part of ‘upper_nth’ is the numeric value of the nth percentile that is +calculated. Example: ‘upper_40’

+ +

o   In +the series "120, 334, 450, 496, 553, 675, 844, 994", the 40th +percentile upper is ‘450’.

+ +

 

+ +

The values reset to 0 after each aggregation.

+ +

 

+ +

Timers also (optionally) support histograms. Histograms +work as follows:

+ +

·         +On an aggregation cycle, metric data-points that +share the same bucket can have their metric values categorized in a histogram. +Histograms allow one to see the frequency distribution of timer metric values +by counting how many metric values fall within a predefined set of ranges.

+ +

o   The +ranges are referred to as ‘bins’, and the lower/upper ends of the bin range are +the ‘bin boundaries’.

+ +

o   The +lower end of the first ‘bin’ is assumed to be 0.

+ +

·         +A counter for the bin is incremented by 1 if…

+ +

o   A +metric’s numeric value is greater than or equal to the lower-boundary of +histogram ‘bin value’

+ +

o   A +metric’s number value is less than the upper-boundary of the histogram ‘bin +value’

+ +

·         +One can specify ‘inf’ in the ‘bin values’ list +as a catch-all for values that are not covered by any other bin.

+ +

o   ‘inf’ +must be the last bin specified in the ‘bin values’ list. ‘inf’ stands for +infinity.

+ +

·         +Multiple histogram configuration sets can be +listed. They are evaluated in the order that they are specified. The histogram +configuration that will be used is the first configuration where the ‘metric’ +field has a value that is part of metric’s bucket.

+ +

o   Example +histogram configuration: +[{metric:'taco',bins:[1,10,20]},{metric:'lalalala',bins:[5,'inf']}]
+For a bucket of "cpu.server.lalalala", the bins:[5,'inf'] would be +used.
+That means that the histogram boundaries are: 0-5, 5-infinity

+ +

o   If +one does not specify a ‘metric’ value in the histogram configuration, then all +metrics are matched. Example: [{metric:'',bins:[1,10,20]}]

+ +

 

+ +

Example:

+ +

                Histogram +configuration: [{metric:'myBucket',bins:[0.1,1,1.21,'inf']}]

+ +

 

+ +

                Metrics:

+ +

myBucket:0|ms

+ +

myBucket:0.1|ms

+ +

myBucket:1|ms

+ +

myBucket:1.1|ms

+ +

myBucket:1.2|ms

+ +

myBucket:10|ms

+ +

myBucket:10.1|ms

+ +

myBucket:15|ms

+ +

 

+ +

Output:

+ +

myBucket.histogram.bin_0_1 = 1

+ +

myBucket.histogram.bin_1 = 1

+ +

myBucket.histogram.bin_1_21 = 3

+ +

myBucket.histogram.bin_1_inf = 3

+ +

 

+ +

 

+ +

Notes:

+ +

·         +On histograms…

+ +

o   StatsAgg +sanitizes histogram configurations more thoroughly than StatsD does. For a +given histogram configuration, StatsAgg de-duplicates bin values, removes +negative bin values, removes leading/trailing zeros on bin values, and sorts +bin values.

+ +

o   Since +timer metric values cannot be negative, one cannot have a negative ‘bin value’. +

+ +

o   Since +a metric value must be greater than the ‘bin value’ for the bin counter to be +incremented, and the lowest allowed metric value is ‘0’, histogram bins must be +greater than ‘0’.

+ +

o   For +compatibly with Graphite, StatsD replaces all occurrences of ‘.’ with ‘_’ in +the outputted metrics. StatsAgg also does this.

+ +

·         +The outputted metric-keys for the nth percentile +keys will substitute the ‘_’ for the ‘.’ character in the event that the user +specifies an nth percentile that has a fractional component.

+ +

o   Example: +if the user-specified nth percentile is "70.5", then an example +output metric-key would be "myBucket.upper_70_5"

+ +

·         +When a negative percentile is specified by the +user, this makes StatsD present the ‘top’ nth percentile. This also has the +side effect of changing the users negative percentage into a positive +percentage, and will result in metric-keys between outputted with ‘top’ in +place of ‘-‘.

+ +

o   Example: +if the user-specified top nth percentile is ‘-45, then an example output +metric-key would be "myBucket.sum_top45".

+ +

·         +StatsAgg allows for multiple ‘nth percentile’ +values to be computed & outputted. This can be configured in the StatsAgg +application configuration file.

+ +

·         +If no new metrics are received by StatsAgg for a +bucket during a flush interval, StatsAgg can be configured to output either ‘0’ +or nothing.

+ +

o   The +default behavior of StatsAgg is to send ‘0’.

+ +

o   After +a restart, StatsAgg forgets bucket names for StatsD timer metrics. As a result, +StatsAgg won’t be capable of outputting ‘0’s for a bucket until it receives at +least one new data point for that bucket (assuming that StatsAgg is configured +to output ‘0’ for a bucket that hasn’t recently had a new value).

+ +

 

+ +

3.3.2.5       +Sets

+ +

Format: bucket:metricValue|s

+ +

Example:

+ +

myBucket:15.5|s

+ +

myBucket:15.5|s

+ +

myBucket:88|s

+ +

myBucket:2.6|s

+ +

myBucket:88|s

+ +

 

+ +

… outputs: "myBucket = +3"

+ +

 

+ +

Sets count the number of unique metric values that a +bucket has associated with it at aggregation time. If the value of ‘1000’ is +sent 30 times during the flush interval, it will only count as +1 for the set.

+ +

 

+ +

The value resets to 0 after each aggregation.

+ +

 

+ +

Note:

+ +

·         +If no new metrics are received by StatsAgg for a +bucket during a flush interval, StatsAgg can be configured to output either ‘0’ +or nothing.

+ +

o   The +default behavior of StatsAgg is to send ‘0’.

+ +

o   After +a restart, StatsAgg forgets bucket names for StatsD set metrics. As a result, +StatsAgg won’t be capable of outputting ‘0’s for a bucket until it receives at +least one new data point for that bucket (assuming that StatsAgg is configured +to output ‘0’ for a bucket that hasn’t recently had a new value).
+
+

+ +

3.3.3        +StatsD legacy namespacing

+ +

StatsD has a metric +output naming convention called ‘legacy namespacing’. ‘Legacy namespacing’ has +the following effects:

+ +

·         +All metric output Sprefixes that are specific to +StatsD counters are ignored

+ +

·         +Counter ‘rates’ are put in stats.{myBucket}

+ +

·         +Counter ‘counts’ are put in +stats_counts.{myBucket}

+ +

·         +All other metric types are put in +stats.{metricTypePrefix}.{myBucket}

+ +

 

+ +

StatsAgg +supports this convention, but it is disabled by default.

+ +

 

+ +

3.3.4        +Other differences between StatsD & StatsAgg

+ +

While the various metric formats have some differences +compared to the official StatsD application (see the individual metric format +sections for more details), there are a few other differences in StatsAgg +(compared to StatsD) that are worth mentioning. They are:

+ +

·         +StatsAgg is not capable of being a StatsD +‘repeater’

+ +

o   If +you wish to accomplish this functionality, you could use the actual StatsD +application as a repeater & have the final destination be StatsAgg. This +will only work for StatsD UDP metrics.

+ +

·         +StatsAgg cannot disable counters +("flush_counts") like StatsD can.

+ +

·         +StatsAgg does not have a mechanism for +user-provided ‘backends’.

+ +

o   Because +StatsAgg is a compiled/bundled program, ‘backend’ functionality must be built +into the core program.

+ +

o   Graphite +is the only currently supported backend (for now). However, since several +services support the receiving Graphite metrics (ex- influxdb), you are not +necessarily limited to only Graphite.

+ +

 

+ +

3.3.5        +Sample StatsAgg configuration file compared to a +StatsD configuration file

+ +

StatsD

+ +

{

+ +

                server: +"./servers/tcp",

+ +

                graphitePort: +2003,

+ +

                graphiteHost: +"graphite.some-domain.com",

+ +

                port: +8125,

+ +

                percentThreshold: +[40],

+ +

                histogram: +[ { metric: '', bins: [ 0, 0.1, 1, 1.21, 'inf' ] } ],

+ +

                graphite: +{globalPrefix : "stats", legacyNamespace : false}

+ +

}

+ +

 

+ +

 

+ +

StatsAgg

+ +

graphite_output_module_1 = +true,graphite.some-domain.com,2003,3

+ +

statsd_tcp_listener_enabled = true

+ +

statsd_tcp_listener_port = 8125

+ +

statsd_metric_name_prefix_enabled = true

+ +

statsd_metric_name_prefix_value = stats

+ +

statsd_counter_metric_name_prefix_enabled = true

+ +

statsd_counter_metric_name_prefix_value = counters

+ +

statsd_timer_metric_name_prefix_enabled = true

+ +

statsd_timer_metric_name_prefix_value = timers

+ +

statsd_gauge_metric_name_prefix_enabled = true

+ +

statsd_gauge_metric_name_prefix_value = gauges

+ +

statsd_set_metric_name_prefix_enabled = true

+ +

statsd_set_metric_name_prefix_value = sets

+ +

statsd_use_legacy_name_spacing = false

+ +

statsd_nth_percentiles = 40

+ +

statsd_histograms = [ { metric: '', bins: [ 0, 0.1, 1, +1.21, 'inf' ] } ]
+
+

+ +

3.4       +OpenTSDB

+ +

OpenTSDB (open time-series database) is primarily a metrics +storage database. It is highly scalable & has advanced query & +aggregation mechanisms. StatsAgg is tested for compatibility with OpenTSDB +2.0+.

+ +

Notes:

+ +

·         +Since OpenTSDB is very capable of aggregating +metrics on its own, StatsAgg only acts as a ‘pass-through’ for OpenTSDB +metrics. If you’re not planning on using StatsAgg for alerting on OpenTSDB +metrics, then you should just send the metrics directly to OpenTSDB.

+ +

·         +By default, StatsAgg will listen for OpenTSDB telnet +metrics on ports TCP port 4242.

+ +

·         +By default, StatsAgg will listen for OpenTSDB +HTTP (JSON format) metrics on TCP port 4243.

+ +

·         +The HTTP endpoint for OpenTSDB metrics in +StatsAgg is:

+ +

o   (domain:port)/api/put

+ +

o   Example: +myServer.com:4243/api/put

+ +

·         +OpenTSDB’s format is extremely similar to +Graphite’s format. The only meaningful difference is that every metric must be +‘tagged’.

+ +

·         +Other than "put" requests, the only other OpenTSDB API call that +StatsAgg responds to is the "version" API request.

+ +

o   This +was done solely because the official OpenTSDB metric collector, tcollector, +uses "version" as a health-check for OpenTSDB.

+ +

o   This +is only implemented for the telnet interface

+ +

 

+ +

3.4.1        +Metric Format

+ +


+Telnet interface

+ +

The OpenTSDB format is: metric epochTime metricValue +tagKey1=tagValue1 tagKey2=tagValue2 \n

+ +

Example: some.descriptive.name.for.a.metric 123.643 +1408334418 type=taco food=Mexican\n

+ +

 

+ +

When using telnet, you must use the telnet +"put" command to send the metric.

+ +

Example: put some.descriptive.name.for.a.metric +1408334418 123.643 type=taco food=Mexican

+ +

 

+ +

More details can be found here:

+ +

http://opentsdb.net/docs/build/html/user_guide/writing.html

+ +

http://opentsdb.net/docs/build/html/api_telnet/put.html

+ +

 

+ +

HTTP interface

+ +

To send a single metric, send an HTTP POST with a body +that has content formatted like this:

+ +

 

+ +

{

+ +

    +"metric": "some.descriptive.name.for.a.metric",

+ +

    +"timestamp": 1408334418,

+ +

    +"value": 18.888,

+ +

    +"tags": {

+ +

       +"food": "Mexican",

+ +

       +"type": "taco"

+ +

    }

+ +

}

+ +

 

+ +

To send multiple metrics in a HTTP POST, format the HTTP +body as a Json Array, like this:

+ +

 
+[

+ +

{

+ +

    +"metric": "some.descriptive.name.for.a.metric.1",

+ +

    +"timestamp": 1408334418,

+ +

    +"value": 16.888,

+ +

    +"tags": {

+ +

       +"food": "CatFood",

+ +

       +"type": "meowmix"

+ +

    }

+ +

},

+ +

{

+ +

    +"metric": "some.descriptive.name.for.a.metric.2",

+ +

    +"timestamp": 1408334418,

+ +

    "value": +19.888,

+ +

    +"tags": {

+ +

       +"food": "American",

+ +

       +"type": "hotdog"

+ +

    }

+ +

}

+ +

]

+ +

 

+ +

More details can be found here: http://opentsdb.net/docs/build/html/api_http/put.html

+ +

Details on sending compressed payloads can be found here: +http://opentsdb.net/docs/build/html/api_http/index.html

+ +

 

+ +

Notes:

+ +

·         +The implementation of the telnet input interface +is more efficient than the implementation of the HTTP/JSON input interface. If +performance is a concern, then use the telnet interface.

+ +

·         +Compared with the official OpenTSDB program, +StatsAgg can be configured to be more secure than OpenTSDB.

+ +

o   OpenTSDB +runs its user-interface, http metric listener, telnet metric listener, and http +APIs off the same port. Since everything runs off the same port, it is somewhat +difficult to control access via traditional control mechanisms (ex – firewall).

+ +

o   StatsAgg +runs the telnet listener, http listener, and user-interface on separate ports. +This allows one to open up the ports that are used for receiving incoming +metrics to a broader audience, while restricting the ability to read those +metrics to a narrower audience.

+ +

o   StatsAgg +can also act as a sort of ‘front door’ for OpenTSDB. That is to say, StatsAgg +could receive metrics on a public network and then forward them to OpenTSDB +(which could be on a private network).

+ +

·         +The OpenTSDB HTTP interface has full support for +the ‘summary’ parameter, and partial support for the ‘details’ parameter. See +the OpenTSDB documentation for more information.

+ +

o   The +‘details’ parameter will return accurate counts for ‘failed’ & ‘success’, +but the ‘errors’ field is not currently being populated.

+ +

·         +StatsAgg also supports compression on the +OpenTSB HTTP interface. As long as the "Content-Encoding" field is +set to "gzip" in the HTTP request header, users can send a +gzip-compressed HTTP request body (the OpenTSDB metric JSON) to StatsAgg.

+ +

·         +When using the telnet interface, every +individual metric MUST end with a newline character.

+ +

·         +The timestamp field can either be 10 characters +long with second precision, or 13 characters long with millisecond precision.

+ +

·         +OpenTSDB tags cannot have duplicate tag-keys on +the same metric.

+ +

o   Valid:   some.descriptive.name.for.a.metric 123.643 +1408334418 type=taco food=Mexican\n

+ +

o   Invalid:   some.descriptive.name.for.a.metric 123.643 +1408334418 type=taco type=Mexican\n

+ +

·         +The maximum size of a single metric (metric + +timestamp + value + tags) must be less than 32767 characters long. This is +larger than OpenTSDB supports.

+ +

·         +To maintain compatibility with outputting to +Graphite, it may make sense to follow Graphite’s metric-path conventions.

+ +

·         +OpenTSDB supports a limited character set for +metric names, tag keys, and tag values. The allowed characters include +alphanumeric characters, ‘.’, ‘_’, ‘-‘, and ‘/’. StatsAgg does not care about +these character-set limitations, but you may receive errors when writing metrics +with forbidden characters to OpenTSDB.

+ +

·         +OpenTSDB supports scientific notation for metric +values.

+ +

·         +There can be multiple key=value tag pairs. +StatsAgg does not limit the number of tags, but when outputting to OpenTSDB, +you must have least 1 tag, and at most 8 tags.

+ +

 

+ +

3.4.2        +How StatsAgg represents OpenTSDB metrics in the +WebUI

+ +

To allow StatsAgg to match & alert off of any +combination of OpenTSDB’s metric/tags, StatsAgg generates what it calls a +‘metric key’.

+ +

 

+ +

The ‘metric key’ format is:

+ +

metric : alphabetically_sorted_tags

+ +

 

+ +

So if the OpenTSDB metric is "cpu.core0", and +the tags are "percentUsed=95 host=server1", then the StatsAgg ‘metric +key’ would be:

+ +

cpu.core0 : host=server1 percentUsed=95

+ +

 

+ +

This allows StatsAgg users to write regular expressions +for ‘metric groups’ that can accommodate any combination of metric & tag +values.

+ +

 

+ +

Note – The concept of a ‘metric key’ stays internal to +StatsAgg. This field is not outputted anywhere (other than the StatsAgg WebUI).

+ +

 

+ +

3.5       +InfluxDB

+ +

NOTE: The version of +InfluxDB that StatsAgg is compatible with is depreciated. Support for modern +versions of InfluxDB will be included in a future StatsAgg release.

+ +

InfluxDB is primarily a metrics storage database. It is +highly scalable & has advanced query capabilities. StatsAgg is tested for +compatibility with InfluxDB 0.6x - 0.8x.

+ +

Notes:

+ +

·         +StatsAgg only acts as a ‘pass-through’ for +InfluxDB metrics. If you’re not planning on using StatsAgg for alerting on +InfluxDB metrics, then you should just send the metrics directly to InfluxDB.

+ +

·         +By default, StatsAgg will listen for InfluxDB +HTTP metrics on ports TCP port 8086.

+ +

·         +The HTTP endpoint for InfluxDB metrics in +StatsAgg is:

+ +

o   (domain:port)/db/(your_influxdb_database)/series

+ +

o   Example: +myServer.com:8086/db/statsagg/series?u=saUser&p=saPW

+ +

·         +More details can be found here: https://influxdb.com/docs/v0.8/api/reading_and_writing_data.html +
+
+

+ +

3.5.1        +Metric Format

+ +

A HTTP POST with a body that has content formatted like +this:

+ +

 

+ +

URL: +myServer.com:8086/db/statsagg/series?u=saUser&p=saPW&time_precision=ms

+ +

 

+ +

HTTP Body:

+ +

[

+ +

  +{

+ +

    "name" : "hd_used",

+ +

    "columns" : +["metric_1", "metric_2", "host", +"mount", "is_full", "time", +"sequence_number"],

+ +

    "points" : [

+ +

  +    [23.2, 33.44, +"serverA", "/mnt", false, 1400425947368, 2]

+ +

    ]

+ +

  +}

+ +

]

+ +

 

+ +

More details can be found here: https://influxdb.com/docs/v0.8/api/reading_and_writing_data.html +

+ +

 

+ +

Notes:

+ +

·         +The "time" column is optional. If +specified, StatsAgg will use the time that is specified for the metric. If time +is not specified, then StatsAgg will use the current time.

+ +

o   If +time is specified, but the "time_precision" url query parameter is +not, then StatsAgg will treat "time" as being in milliseconds.

+ +

o   "time" +fields cannot be used for alerting. The field serves to specify the timestamp +for the other fields in a ‘point’.

+ +

o   The +"time" column can be in seconds (10 digits), milliseconds (13 +digits), or microseconds (16 digits). Timestamps must follow unix-time (epoch +time) conventions.

+ +

§  "time_precision" +should be submitted when using a timestamp precision that isn’t millisecond. +"time_precision" is a url query parameter, and must be set to +"s" (for seconds), "ms" (for milliseconds), or +"u" (for microseconds).

+ +

§  Example: +myServer.com:8086/db/statsagg/series?u=saUser&p=saPW&time_precision=u

+ +

·         +The "sequence_number" column is +ignored by StatsAgg (other than preserving it for outputting).

+ +

·         +If the "Authorization" field is +present in the HTTP header, then StatsAgg will preserve that information for +outputting to an InfluxDB server.

+ +

·         +Boolean ‘point’ fields are treated as numeric +(so StatsAgg can alert on them). ‘true’ will be turned into a 1, and ‘false +will be turned into a 0.

+ +

·         +Any ‘point’ that has non-numeric field, then +that field is treated by StatsAgg as a ‘tag’. It will show up in the metric-key +of a metric, but it will not be a separate metric in StatsAgg.

+ +

o   Exception +– if a ‘point’ contains exclusively non-numeric fields, then it is treated as a +unique metric. The value of such a metric is always ‘1’.

+ +

·         +If a ‘point’ has more than one numeric field, +then each numeric field is treated as being a separate metric in StatsAgg. +These separate metrics will share the same tags, but will be listed in the +StatsAgg interface as separate metrics.

+ +

o   If +these metrics are outputted to an InfluxDB database, they are outputted +together (as they were originally received).

+ +

·         +When metric prefixes are used (set via the +StatsAgg application configuration file), the metric prefix is appended onto +the metric name.

+ +

o   Example: +An InfluxDB prefix of "myPrefix" would result in a metric name like +"myPrefix.metric_1".
+
+

+ +

3.5.2        +How StatsAgg represents InfluxDB metrics in the +WebUI

+ +

To allow StatsAgg to match & alert off of any +combination of InfluxDB’s metric/tags, StatsAgg generates what it calls a +‘metric key’. StatsAgg will convert each numeric field in a ‘point’ into a +unique metric-key.

+ +

 

+ +

The ‘metric key’ format is:

+ +

DatabaseName : MetricName : MetricColumn : sorted-tag(s)

+ +

 

+ +

Using the example from the previous section, InfluxDB +metric-keys look like this:

+ +

statsagg : hd_used : metric_1 : +"host"="serverA" "mount"="/mnt"

+ +

statsagg : hd_used : metric_2 : +"host"="serverA" "mount"="/mnt"

+ +

statsagg : hd_used : is_full : +"host"="serverA" "mount"="/mnt"

+ +

 

+ +

This allows StatsAgg users to write regular expressions +for ‘metric groups’ that can accommodate any combination of +database/name/column/tag(s).

+ +

 

+ +

Note – The concept of a ‘metric key’ stays internal to +StatsAgg. This field is not outputted anywhere (other than the StatsAgg WebUI).
+
+

+ +

3.6       +Outputs Modules

+ +

3.6.1        +Graphite

+ +

StatsAgg can (optionally) output metrics to Graphite. +StatsAgg will transform any metric type that isn’t natively in the Graphite +format (ex- StatsD, OpenTSDB, InfluxDB) into Graphite metrics (keeping in mind +the limitations of Graphite’s format).

+ +

 

+ +

Notes:

+ +

·         +The only metrics that are outputted are +‘aggregated’ metrics.

+ +

o   In +the case of Graphite-Passthrough, OpenTSDB, and InfluxDB metrics, this simply +means that all metrics are sent to Graphite (though their metric-key may have +been slightly altered by StatsAgg).

+ +

o   In +the case of ‘aggregated’ metrics (StatsD, Graphite-Aggregated), only the final +results of the aggregation are sent to Graphite.

+ +

·         +After X connection attempt retries (by default, +X=2), StatsAgg will give up on trying to connect to Graphite. All metrics that +were queued to be sent to Graphite are permanently discarded.

+ +

·         +After X retries (by default, X=2), StatsAgg will +give up on trying to send a ‘batch’ metrics to Graphite. Any metrics that +haven’t been outputted after the configured number of retries are permanently +discarded.

+ +

o   A +‘batch’ means the aggregation window’s worth of StatsD metrics, +Graphite-Passthrough metrics, Graphite-Aggregation metrics, OpenTSDB, or InfluxDB +metrics. StatsAgg handles these different metric types on separate threads, so +for a given aggregation window, the ‘batches’ for StatsD metrics, +Graphite-Passthrough metrics, Graphite-Aggregation metrics, OpenTSDB, and +InfluxDB metrics are independent of each other.

+ +

·         +If the connection between StatsAgg & +Graphite is slow, this could cause stability problems in StatsAgg. The +potential risk occurs when StatsAgg is receiving/processing/outputting metrics +at a faster rate than they can be sent to Graphite. Slowness on metric +transmission to Graphite could result in metrics building up in StatsAgg’s +memory, which could ultimately cause StatsAgg to experience degraded +performance (and possibly crash).

+ +

o   Oftentimes +the network isn’t the problem, and Graphite’s ability to +receive/consume/process metrics is. If you have ample bandwidth between +StatsAgg & Graphite, but Graphite doesn’t seem to be keeping up, look into +optimizing your Graphite deployment.

+ +

·         +When outputting OpenTSDB or InfluxDB metrics to +Graphite, tags are not outputted/preserved in any way.

+ +

·         +When outputting to Graphite, StatsAgg can +(optionally) remove forbidden characters out of your metrics. The StatsAgg +development team recommends using this option as a safety mechanism to ensure +that your metrics reach Graphite & are capable of being queried.

+ +

·         +When outputting InfluxDB metrics, StatsAgg will +default to outputting metric-paths in this format: +(influxdb_databaseName).(influxdb_metricName).(influxdb_columnName)
+Outputting the InfluxDB database name can be disabled via a an application +configuration option.

+ +

 

+ +

3.6.2        +OpenTSDB

+ +

StatsAgg can (optionally) output metrics to OpenTSDB. +StatsAgg will transform any metric type that isn’t natively in the OpenTSDB +format (ex- StatsD, Graphite, InfluxDB) into OpenTSDB metrics (keeping in mind +the limitations of OpenTSDB’s format).

+ +

 

+ +

Notes:

+ +

·         +StatsAgg can output in via the OpenTSDB telnet +interface or the OpenTSDB HTTP interface.

+ +

o   +The OpenTSDB HTTP interface is supported by +OpenTSDB 2.0+.

+ +

o   +Generally speaking, the OpenTSDB telnet +interface will perform better & is less prone to errors.

+ +

·         +StatsAgg will not make API calls to OpenTSDB in +to populate UIDs for metrics. This means that OpenTSDB will have to be ‘primed’ +by telling OpenTSDB all the metrics that will be sent to it ahead of time. +Alternatively, you can set the OpenTSDB variable ‘tsd.core.auto_create_metrics’ +to ‘True’ (which is not the default).

+ +

o   +The StatsAgg development team recommends setting +the OpenTSDB variable ‘tsd.core.auto_create_metrics’ to ‘True’.

+ +

o   +See the OpenTSDB documentation for more +information.

+ +

·         +By default, OpenTSDB’s HTTP interface cannot +handle chunked HTTP requests. StatsAgg’s OpenTSDB HTTP output module does not +have a configuration option for HTTP chunking, so HTTP requests sent from +StatsAgg to OpenTSDB could be chunked.

+ +

o   +The StatsAgg development team recommends setting +the OpenTSDB variable ‘tsd.http.request.enable_chunked’ to ‘True’.

+ +

o   +The StatsAgg development team recommends setting +the OpenTSDB variable ‘tsd.http.request.max_chunk’ to ‘32768’ (or larger).

+ +

·         +The only metrics that are outputted are +‘aggregated’ metrics.

+ +

o   +In the case of Graphite-Passthrough, OpenTSD, +and InfluxDB metrics, this simply means that all metrics are sent to OpenTSDB +(though their metric-keys may have been prefixed by StatsAgg).

+ +

o   +In the case of ‘aggregated’ metrics (StatsD, +Graphite-Aggregated), only the final results of the aggregation are sent to +OpenTSDB.

+ +

·         +After X connection attempt retries (by default, +X=2), StatsAgg will give up on trying to connect to OpenTSDB. All metrics that +were queued to be sent to OpenTSDB are permanently discarded.

+ +

·         +Each metric in a ‘batch’ is sent to OpenTSDB +independently. Metrics that fail to send will be resent up to X times (by +default, X=2). If a metric fails to send after that, it is permanently +discarded.

+ +

o   +A ‘batch’ means the aggregation window’s worth +of StatsD metrics, Graphite-Passthrough metrics, Graphite-Aggregation metrics, +OpenTSDB metrics, or InfluxDB metrics. StatsAgg handles these different metric +types on separate threads, so for a given aggregation window, the ‘batches’ for +StatsD metrics, Graphite-Passthrough metrics, Graphite-Aggregation metrics, +OpenTSDB, and InfluxDB metrics are independent of each other.

+ +

·         +If the connection between StatsAgg & OpenTSDB +is slow, this could cause stability problems in StatsAgg. The potential risk +occurs when StatsAgg is receiving/processing/outputting metrics at a faster +rate than they can be sent to OpenTSDB. Slowness on metric transmission to +OpenTSDB could result in metrics building up in StatsAgg’s memory, which could +ultimately cause StatsAgg to experience degraded performance (and possibly +crash).

+ +

o   +Oftentimes the network isn’t the problem, and +OpenTSDB’s ability to receive/consume/process metrics is. If you have ample +bandwidth between StatsAgg & OpenTSDB, but OpenTSDB doesn’t seem to be +keeping up, look into optimizing your OpenTSDB deployment.

+ +

·         +The OpenTSDB spec mandates that all metrics have +at least one key=value tag. Graphite metrics & StatsD metrics do not have a +concept of ‘tag’, so StatsAgg adds a tag for them.

+ +

o   +For Graphite metrics, StatsAgg adds a tag of +‘Format=Graphite’

+ +

o   +For StatsD metrics, StatsAgg adds a tag of +‘Format=StatsD’

+ +

o   +For InfluxDB metrics, when no tags exist for a +metric, StatsAgg adds a tag of ‘Format=InfluxDB’. If InfluxDB tag fields are +present, then they are outputted to OpenTSDB.

+ +

·         +StatsAgg sorts OpenTSDB tags alphabetically as +it processes/stores them. As a result, when StatsAgg outputs a metric to +OpenTSDB, the tags will be ordered alphabetically. In other words, the tag +order may change. OpenTSDB should not care about this.

+ +

·         +When outputting to OpenTSDB, StatsAgg can +(optionally) remove forbidden characters out of your metrics. The StatsAgg +development team recommends using this option as a safety mechanism to ensure +that your metrics reach OpenTSDB.

+ +

·         +When outputting InfluxDB metrics, StatsAgg will +default to outputting metric name in this format: +(influxdb_databaseName).(influxdb_metricName).(influxdb_columnName)
+Outputting the InfluxDB database name can be disabled via a an application +configuration option.

+ +

 

+ +

3.6.3        +InfluxDB 0.6x – 0.8x

+ +

StatsAgg can +(optionally) output metrics to InfluxDB (versions 0.6x – 0.8x). StatsAgg will +transform any metric type that isn’t natively in the InfluxDB 0.6x-0.8x format +(ex- StatsD, Graphite, OpenTSDB) into InfluxDB metrics (keeping in mind the +limitations of InfluxDB’s format).

+ +

 

+ +

Notes:

+ +

·         +Metrics that were sent in the InfluxDB format +will retain 100% of their format as they are passed through to InfluxDB. +Details like time_precision, database, username, password, etc will be +preserved.

+ +

·         +Metrics that were sent in non-InfluxDB formats +(Graphite, OpenTSDB, StatsD, etc) are converted into InfluxDB format as closely +as possible.

+ +

o   +Timestamps from non-InfluxDB formats will always +be sent to InfluxDB in with a time-unit of milliseconds.

+ +

o   +The StatsAgg application configuration file +specifies fields for ‘default InfluxDB database, username, and password’. +Non-InfluxDB formats will output to the specified ‘default’ InfluxDB database, +with the specified ‘default’ username & password. Native InfluxDB metrics +will use whatever database/username/password combination that the metrics were +originally sent with.

+ +

·         +Users must take care to create appropriate ‘databases’ +inside of InfluxDB before sending metrics to InfluxDB. StatsAgg will not create +InfluxDB databases.

+ +

·         +The only metrics that are outputted are +‘aggregated’ metrics.

+ +

o   +In the case of Graphite-Passthrough, OpenTSD, +and InfluxDB metrics, this simply means that all metrics are sent to InfluxDB +(though their metric-keys may have been prefixed by StatsAgg).

+ +

o   +In the case of ‘aggregated’ metrics (StatsD, +Graphite-Aggregated), only the final results of the aggregation are sent to +InfluxDB.

+ +

·         +After X connection attempt retries (by default, +X=2), StatsAgg will give up on trying to connect to InfluxDB. All metrics that +were queued to be sent to InfluxDB are permanently discarded.

+ +

·         +Each metric in a ‘batch’ is sent to InfluxDB +independently. Metrics that fail to send will be resent up to X times (by +default, X=2). If a metric fails to send after that, it is permanently +discarded.

+ +

o   +A ‘batch’ means the aggregation window’s worth +of StatsD metrics, Graphite-Passthrough metrics, Graphite-Aggregation metrics, +OpenTSDB metrics, or InfluxDB metrics. StatsAgg handles these different metric +types on separate threads, so for a given aggregation window, the ‘batches’ for +StatsD metrics, Graphite-Passthrough metrics, Graphite-Aggregation metrics, +OpenTSDB, and InfluxDB metrics are independent of each other.

+ +

·         +If the connection between StatsAgg & +InfluxDB is slow, this could cause stability problems in StatsAgg. The +potential risk occurs when StatsAgg is receiving/processing/outputting metrics +at a faster rate than they can be sent to InfluxDB. Slowness on metric +transmission to InfluxDB could result in metrics building up in StatsAgg’s +memory, which could ultimately cause StatsAgg to experience degraded +performance (and possibly crash).

+ +

o   +Oftentimes the network isn’t the problem, and +InfluxDB’s ability to receive/consume/process metrics is. If you have ample +bandwidth between StatsAgg & InfluxDB, but InfluxDB doesn’t seem to be +keeping up, look into optimizing your InfluxDB deployment.

+ +

4    Alerting

+ +

One of the key +reasons StatsAgg was created was to provide a robust alerting mechanism for the +various metric formats.

+ +

4.1       Alerting +overview

+ +

StatsAgg offers two +kinds of alerts – ‘threshold’ and ‘availability’. Alerts can be configured in +the StatsAgg via the website interface.

+ +

‘Availability alerts’ are triggered +when a ‘metric-key’ (a unique metric that is associated with the metric group) +stops reporting data points. Put another way, if StatsAgg stops receiving +metric values for a particular metric-key, then an alert can be triggered. +Receipt of a new data point for a ‘metric-key’ is the ‘positive alert’ criteria +for the availability alerts.

+ +

 

+ +

Threshold +alerts’ are triggered when the value of an individual metric-key is above/below/equal-to +a specified ‘threshold’ value. The values of a metric-key that fall within the +‘window duration’ are used for alerting consideration.

+ +

 

+ +

Alerts are +evaluated on an interval that is specified in the StatsAgg configuration file. +By default, the interval is every 5 seconds. When an alert is becomes active, +it displays its status through the website interface, and can (optionally) send +an email notification. Additional details about the alerts can be found here.
+
+

+ +

4.2       How +does alerting work?

+ +

The alert routine +is independent from all of the metric aggregation routines (StatsD, +Graphite-Passthrough, Graphite-Aggregated, OpenTSDB, InfluxDB). It runs +periodically (the period can be changed in the application configuration file). +When it executes, it will typically go through the following steps:

+ +

1.       Metric +association. This is the process of mapping metric-keys (Graphite metric-paths, +StatsD buckets, OpenTSDB metrics/tags, etc) to StatsAgg ‘Metric Groups’.

+ +

a.       This +process can be CPU intensive if StatsAgg receives a large burst of metric-keys +that it hasn’t seen before.

+ +

b.       Only +new/fresh metrics go through metric association. Metrics that haven’t been seen +in a long time, or only exist in the metric storage engine (Graphite, OpenTSDB, +etc) will not be associated with ‘metric groups’ until a new data point +arrives.

+ +

2.       Determine +what alerts are "suspended". This maps StatsAgg ‘Suspensions’ to +StatsAgg ‘Alerts’. If an alert is suspended, StatsAgg will not perform some (or +all) of the remaining routines on a particular alert.

+ +

3.       Determine +which StatsAgg ‘alerts’ are in a triggered state. Caution & Danger alert +statuses are evaluated at this stage. Alerts that are in a triggered state are +marked as such.

+ +

a.       Alerts +are triggered ONLY when the criteria for triggering them is met. In the absence +of any data that indicates that an alert should be in a triggered state, the +alert will be in a not-triggered state.

+ +

b.       In +other words, alerts trigger on the premise of ‘innocent until proven guilty’.

+ +

                                                               +i.      +For threshold alerts, absent of evidence of +guilt (datapoints that match the alert criteria) counts as proof of innocence.

+ +

                                                             +ii.      +For availability alerts, absence of ANY evidence +(datapoints) can prove guilt (assuming the criterion is met).

+ +

4.       Send +notifications via email. When appropriate (based on an alert’s configuration), +emails are sent out to the recipients that are specified in the alert’s +‘Notification Group’.

+ +

a.       Caution +& Danger notifications are treated as being completely independent from +each other.

+ +

b.       If +an alert is ‘acknowledged’, it will not be ‘resent’ (even if ‘resend after…’ is +set).

+ +

5.       Output +alert status metrics. StatsAgg can be configured to output the status of all +alerts to Graphite.
+Note: when an alert’s name has characters that don’t translate well into +Graphite’s naming convention, StatsAgg may try to reformat the alert-name. +Also, the ‘metric-path’ in Graphite will have a unique identifier at the end of +it. This was done to guarantee that no two alerts are capable of outputting to +the same metric-path in Graphite (which could otherwise happen as a result of +StatsAgg’s metric-path renaming).
+Here is the alert-status key:

+ +

a.       0 += alert not triggered

+ +

b.       1 += caution triggered

+ +

c.       2 += danger triggered

+ +

d.       3 += caution & danger triggered 

+ +

6.       Update +global variables. After everything else has finished, the results of the alert +routine are made available to the rest of the application. ‘Metric group +associations’, ‘alert triggered statuses’, etc are now capable of being viewed +in the WebUI.

+ +

a.       +A larger ‘alert routine execution frequency’ will +result in increased WebUI lag for ‘Alerts’, ‘Metric Groups’, etc.
+
+

+ +

4.3       What +happens to triggered alerts when StatsAgg is restarted?

+ +

When StatsAgg is +restarted, StatsAgg will handle alerts as follows:

+ +

·         +Threshold alerts that were in a triggered state +before the restart will go into a status of ‘pending’. This gives them time to +evaluate their status before erroneously firing ‘positive alert’ emails. A +threshold alert will get out of ‘pending’ status when one of the following +criteria is met:

+ +

o   StatsAgg +has received enough new data points to determine that the alert is still in a +‘triggered’ status. No email notifications will be sent in this case. 

+ +

§  This +is only evaluated for ‘Threshold’ alerts.

+ +

o   StatsAgg +has been running for at least ‘window duration’ seconds, and the alert has not +re-entered a ‘triggered’ status. The alert will no longer be triggered & a +‘positive alert’ notification will be send (if configured).

+ +

o   StatsAgg’s +configuration file has a ‘max pending’ time. If this timeout is reached & +the alert is not in a ‘triggered’ condition, then the alert will no longer be +triggered & a ‘positive alert’ notification will be send (if configured).

+ +

·         +Availability alerts pick-up exactly where they +left off. There is no ‘pending’ status for an availability alert.

+ +

·         +All metric-keys must be re-associated with all +‘metric groups’. This is done as new metric-keys arrive into StatsAgg. This can +be a slow/heavy process if a lot of unique metrics-keys are sent to StatsAgg, +so it may take a little while (seconds to minutes) for all metric-keys to +become associated with all ‘metric groups’.

+ +

·         +StatsAgg does not currently store/retain the +datapoints that were in memory prior to the restart, nor does it retrieve them +from any external datasource (ie - Graphite). After a restart, the only +datapoints that are considered for alerting are whatever new datapoints arrive.
+
+

+ +

4.4       Notes

+ +

·         +The alert routine runs in a separate thread from +the other ‘aggregation’ routine threads. In other words, alert evaluation is +NOT performed as part of the StatsD, Graphite, and OpenTSDB metric aggregation +routines.

+ +

·         +StatsAgg +does not query metric-storage engines for data points. Put another way, +StatsAgg can only alert on what flows through it.

+ +

·         +StatsAgg +aggressively removes unneeded data points from memory. If a metric data +point is not needed by an alert, then it is removed from memory within a few +seconds. Furthermore, StatsAgg will not try to load data points into memory +from metric storage engines – even if an alert and/or ‘metric group’ is created +that says that it needs the last X seconds of data for that metric. The alert +and/or ‘metric group’ will only react to data points that arrive after the alert and/or ‘metric group’ +were created.

+ +

·         +For +StatsD & Graphite-Aggregated metrics, alert evaluation is only performed on +aggregated metrics.

+ +

o   +Example: If you send 4000 StatsD gauge metrics +during a single ‘flush interval’ (which is 10secs, by default), then StatsAgg +will only use the final aggregated value of those 4000 gauges for alert +evaluation.

+ +

o   +Since Graphite-Passthrough & OpenTSDB +metrics are not aggregated, every single individual data point is used for +alert evaluation.

+ +

5    Administrative +Website User Interface

+ +

5.1       +Normal ‘path’ through the website

+ +

Once data is +being fed into StatsAgg, you may want to alert on it. This section describes +the general path through the website to create an alert.
+
+

+ +

1.       Create +a ‘notification group’. ‘Notification groups’ are simply a list of email +addresses that alerts get sent to. If you do not want/need StatsAgg to send +email alerts, then you can ignore ‘notification groups’ entirely.

+ +

2.       Create +a ‘metric group’. This ‘metric group’ should have regular expressions that +match against whatever metric-keys you’re interested in alerting on. If you +which, you can also ‘tag’ your ‘metric group’.

+ +

3.       Create +an alert. When you create an alert, it ties into a single ‘metric group’. This +allows you to alert on whatever values are associated with the ‘metric group’. +A single ‘metric group’ can be used by many alerts, but an alert can only be +linked with a single ‘metric group’.

+ +

4.       Create +a suspension. Suspensions allow you to temporarily disable alerting. If you +don’t need to suspend alerts, then you can ignore suspensions entirely.

+ +


+The remains subsections go into greater detail about how to create & +configure ‘notification groups’, ‘metric groups’, alerts, and suspensions.
+
+

+ +

5.2       Common +UI components

+ +

 

+ +

Tables

+ +

·         +All tables in the StatsAgg UI are generated +server-side. On each page load, entire table is sent to the client, and +Javascript is used for pagination, filtering, etc.

+ +

·         +If a table appears to be mangled, try clearing +all StatsAgg related cookies in your browser.

+ +

·         +StatsAgg will remember table customizations for +30days via a browser cookie.

+ +

·         +For pages that contain tables, a ‘search’ can be +applied to the table via url parameters. The url parameter is ‘TableSearch’.

+ +

o   For +example, if you wanted to display the ‘Alerts’ table, and you wanted to have +the table displayed with a search phrase already in the ‘search’ bar, then +you’d enter something like:
+http://127.0.0.1 /StatsAgg/Alerts?TableSearch=my+search+criteria

+ +

 

+ +

Sorting tables by column

+ +

On a table, any column, or set of columns, can be used for +sorting. Sorting works by:

+ +

·         +For the first column that you want to sort by, +click on the first column header that you want to sort by

+ +

·         +For the second, third, etc columns that you want +to sort by, hold down shift & click on the second, third, etc column header(s) +that you want to sort by

+ +

 

+ +

 

+ +

5.3       Metric Groups

+ + + +

‘Metric Groups’ are a mechanism to tie together +individual metrics. Using regular expressions, you can group together any set +of metrics. You can then create an alert that alerts off of the metrics that +are associated with the metric group. A single ‘metric group’ can be associated +with any number of alerts.
+
+

+ +

5.3.1        +Metric Groups table

+ +

This table lists all current created ‘notification +groups’. Much of the functionality on this page speaks for itself, but some +functionality requires some explanation.

+ +

 

+ +

# Metric Associations

+ +

·         +Altering a ‘metric group’ will erase all ‘metric +group associations’ with the ‘metric group’. As StatsAgg receives new metrics, +the ‘metric group associations’ for a ‘metric group’ will repopulate.

+ +

·         +Individual metrics are associated with ‘metric +groups’ when the ‘alert routine’ is executed. That means that one should expect +a delay between when the metric is initially received by StatsAgg & when it +shows up as being associated with a metric group.

+ +

·         +Any metric that has had a new data point within +the last 24hrs will show up as being ‘associated’ with a ‘metric group’. +Metrics that haven’t received any new data points for 24hrs will be ‘forgotten’ +by StatsAgg.

+ +

 

+ +

Clone

+ +

Clicking this button clones the ‘metric group’. A new +‘metric group’ will be spawned with the same configuration. The only difference +is:

+ +

·         +The new ‘metric group’ will be named +"previousMetricGroupName_#" (where # is some number that doesn’t +collide with another ‘metric group’ name).

+ +

 

+ +

Remove
+
A ‘metric group’ can’t be removed when it is associated with an alert. To +make a ‘metric group’ be capable of being removed, you must delete or alter all +alerts that are associated with it.
+
+

+ +

5.3.2        +Create +Metric Group

+ +

Name (required): +A unique name for this metric group. Other than uniqueness, the only limitation +is that it must be under 500 characters long.

+ +


+Description (optional): A +description of the metric group. Avoid descriptions longer than 1000000 +characters.

+ +


+Regular Expressions (required): +These are regular expressions that are used to tie individual metrics to the +‘metric group’. If a metric matches any one of the provided regular +expressions, then it is considered to be ‘associated’ with the ‘metric group’. +If using multiple regular expressions, put each regular expression on a +separate line in the textbox. For performance reasons, try to use as few +regexes as possible, and try to write them as efficiently as possible.

+ +

 

+ +

Blacklist Regular +Expressions (optional): These +are regular expressions that nullify metrics that were matched by the previous +‘regular expressions’ field. Any metric is matched by a ‘blacklist regular +expression’ will not be associated with the ‘metric group’. If using multiple +‘blacklist regular expressions’, put each blacklist regular expression on a +separate line in the textbox. The purpose of this field is to give users an +easy way to say "I want to match these metrics… except I don’t want to +match these metrics".

+ +

 

+ +

The regular expression format is Java Regex, and the +‘matches’ method is used.

+ +

For more information, visit…

+ +

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#matches--

+ +

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

+ +

 

+ +

Tags (optional): +Metric groups can be ‘tagged’. Tags allows for convenient filtering in the +various tables on the StatsAgg web user-interface. Alerts can also be suspended +by metric group tags.

+ +

 

+ +


+Notes:

+ +

·         +Hitting ‘Preview’ for the ‘regular expressions’ +field will show regular expression matches using all the metrics that StatsAgg +is currently aware of. ‘Blacklist regular expressions’ are not taken into +consideration when hitting this button.

+ +

·         +Hitting ‘Preview’ for the ‘blacklist regular +expressions’ field will show the regular expression matches from the ‘regular +expressions’ field, but filtering out any metrics that match a ‘blacklist +regular expression’. The results from this ‘preview’ button are reflective of +what the final matches will be when the ‘metric group’ is created or altered.
+
+

+ +

5.4       +Notification Groups

+ +

5.4.1        +Notification Groups table

+ +

This table lists all current created ‘notification +groups’. Much of the functionality on this page speaks for itself, but some +functionality requires some explanation.

+ +

 

+ +

Clone

+ +

Clicking this button clones the ‘notification group’. A +new ‘notification group’ will be spawned with the same configuration. The only +difference is:

+ +

·         +The new ‘notification group’ will be named +"previousNotificationGroupName_#" (where # is some number that +doesn’t collide with another ‘notification group’ name).

+ +

 

+ +

Test

+ +

Clicking on ‘test’ will send an email to all the members +of the ‘notification group’. This functionality works regardless of whether the +alert-routine is configured to send emails. The only requirement for this +functionality to work is that the SMTP settings in the StatsAgg configuration +file need to be valid. Emails will only be sent to email addresses that are +properly formatted.

+ +

 

+ +

Remove
+
A ‘notification group’ can’t be removed when it is associated with an alert. +To make a ‘notification group’ be capable of being removed, you must delete or +alter all alerts that are associated with it.

+ +

 

+ +

5.4.2        +Create +Notification Group

+ +

Name (required): +A unique name for this ‘notification group’. Other than uniqueness, the only +limitation is that it must be under 500 characters long.

+ +


+Email addresses (optional): A common +separated list of email addresses.
+
+

+ +

5.5       +Alerts

+ +

5.5.1        +Alerts table

+ +

This table lists all current created alerts. Much of the +functionality on this page speaks for itself, but some functionality requires +some explanation.

+ +

 

+ +

Colored rows

+ +

Red: Danger alert is +currently active & not suspended

+ +

Caution: Caution alert +is currently active & not suspended

+ +

Blue: Either a caution +or danger alert is currently suspended. Also, blue can indicate that StatsAgg +was recently restarted & the alerting mechanism hasn’t determined whether a +caution or danger alert that was active prior to the restart is still triggered +after the restart.

+ +

 

+ +

Clone

+ +

Clicking this button clones the alert. A new alert will +be spawned with the same configuration. The only differences are:

+ +

·         +The new alert will be named +"previousAlertName_#" (where # is some number that doesn’t collide +with another alert name).

+ +

·         +The state of the alert will not be cloned. That +means that triggered/not-triggered, acknowledged/unacknowledged, last alert +send time, etc are not cloned.

+ +

 

+ +

Remove
+
An alert can’t be removed when it is associated with a suspension. To make +an alert be capable of being removed, you must delete or alter all suspensions +that are associated with it.

+ +

 

+ +

Acknowledge/Unacknowledge

+ +

Alerts can be ‘acknowledged’ when they are in a +‘triggered’ state. This is done so that StatsAgg users can know that someone +(hopefully the recipient of the notification group’s email notification) has +seen that the alert is in a triggered state & is looking into the cause. +When alerts are ‘acknowledged’, this disables resending of email notifications +(even if resending is enabled).
+
+

+ +

5.5.2        +Create Alert

+ +

Core Alert +Criteria

+ +

 

+ +

Name (required): +A unique name for this alert. Other than uniqueness, the only limitation is +that it must be under 500 characters long.

+ +

 

+ +

Description +(optional): A description of the alert. Avoid descriptions longer than +1000000 characters.

+ +

 

+ +

Metric group name +(required): The ‘metric group’ that this alert is associated with. Alerts +*must* be paired with ‘metric groups’, but multiple alerts can be associated +with the same ‘metric group’. Alerts are only capable of alerting on +metric-keys that are associated with the alert’s ‘metric group’.

+ +

 

+ +

Alert type +(required): Availability, Threshold

+ +

Availability: +‘Availability alerts’ are triggered when a ‘metric-key’ (a unique metric that +is associated with the metric group) stops reporting data points. Put another +way, if StatsAgg stops receiving metric values for a particular metric-key (no +new data points for the last ‘window duration’ seconds), then an alert will be +triggered. Receipt of a new data point for a ‘metric-key’ is the +‘positive-alert’ criteria for the availability alerts. Please note that the +metrics generated by the ‘resend metrics’ options do not count as new data +points (from the perspective of the availability alert logic).

+ +

 

+ +

Threshold: +‘Threshold alerts’ are triggered when the value of an individual metric-key is +above/below/equal-to a specified ‘threshold’ value. The values of a metric-key +that fall within the ‘window duration’ are used for alerting consideration.

+ +

 

+ +

Is alert enabled? +(required): If you want the alert to be enabled right away after creation +or alteration, then check this checkbox. When an alert is disabled, caution +& danger alerts will not fire (they are not even evaluated).

+ +

 

+ +

Is caution +alerting enabled? (required): When caution alerting is disabled, caution +alerts will not trigger (they are not even evaluated).

+ +

 

+ +

Is danger alerting +enabled? (required): When danger alerting is disabled, danger alerts will +not trigger (they are not even evaluated).

+ +

 

+ +

Alert on positive? +(required): If this is checked, alerts that change states from ‘triggered’ +to ‘not triggered’ will send an email notification to the notification group’s +recipients.

+ +

 

+ +

Resend alert? +(required): If this is checked, alerts that are in a ‘triggered’ state will +send a new notification to the notification group’s recipients after the +specified amount of time. The new notification will reflect whatever metrics +are currently resulting in the alert to be triggered (not just whatever was in +the original email notification). Note— if an alert has been acknowledged, then +notifications will not be resent (regardless of whether ‘resend alert’ is +enabled).

+ +

 

+ +

Resend alert every +(optional): If ‘resend alert?’ is enabled, then alerts in a ‘triggered’ +state will send a new notification to the notification group’s recipients after +the amount of time specified by this option.

+ +

 

+ +

 

+ +

Caution/Danger +Criteria

+ +

 

+ +

Notification group +name (optional): The ‘notification group’ that is associated with the +alert. Alerts that are triggered will be sent to the members of this +‘notification group’.

+ +

 

+ +

Positive +notification group name (optional): The ‘positive notification group’ that +is associated with the alert. Positive alerts will be sent to the members of +this ‘notification group’.

+ +

 

+ +

Window duration +(availability and threshold alerts): The ‘window duration’ is the amount of +time (between ‘now’ and ‘x time units ago’) that metrics values are allowed to +be considered for alerts. That is to say, if you specify that the ‘window +duration’ is 300 seconds, then the rest of the alert criteria variables will +only operate on metric values that have timestamps between ‘now’ and ‘300 +seconds ago’. You should set the value of ‘window duration’ to be at least one time-unit larger than the +metric transmission interval of the metrics associated with the alert (it is +often best to oversize ‘window duration’ by 25% or so to give it some slack).

+ +

 

+ +

Example:

+ +

·         +If you send a new datapoint for a metric (ex - +‘myServer.cpu’) to StatsAgg once every 30 seconds, and you want to alert off +this metric with a ‘threshold alert’, then you would set the ‘window duration’ +to at least 31 seconds (but 45 +seconds or 1 minute would usually be better). If you set the ‘window duration’ +to something smaller than 30 seconds (ex- 29 seconds), then the alert could +flap between ‘triggered’ and ‘not-triggered’ because the alert criteria would +evaluating all the datapoints between ‘now’ and ‘29 seconds ago’, and a +datapoint from 30 seconds ago could fall outside of that window.
+
+

+ +

Notes:

+ +

·         +This field must be set to a value greater than +0.

+ +

·         +To preserve StatsAgg resources, it is highly +recommended that you try to keep the window duration as small as possible.

+ +

 

+ +

Stop tracking +after (availability alerts only): For availability alerts, StatsAgg +requires that you eventually ‘give up’ on tracking a metric that hasn’t had any +new data points. This prevents StatsAgg from having to track metrics forever, +and prevents availability alerts from potentially being in a ‘triggered’ state +forever. ‘Stop tracking after’ is the amount of time that you will wait for a +new data point to show up for a metric before the availability alert ‘gives up’ +on looking for a new data point to show up. When an availability alert ‘gives +up’, it is treated as a positive alert, and the reason given will be that the +alert reached its ‘stop tracking time limit’.

+ +

 

+ +

Minimum sample +count (threshold alerts only): For a threshold-alert to be triggered, one +of its associated metric-key must have a minimum number of recent data points +within the ‘alert window duration’. For example, if the ‘alert window duration’ +is 300 seconds, and the ‘minimum sample count’ is 2, then an alert can only be +triggered if 2 or more metric values (of an individual metric-key) have been +received by StatsAgg during the last 300 seconds.

+ +

 

+ +

This field must be set to a value greater than 0. The +most commonly set value is 1.

+ +

 

+ +

Operator +(threshold alerts only): The values of a metric-key are considered for +threshold-based alerting when they are above/below/equal-to a certain +threshold. This value controls the above/below/equal-to aspect of the alert.

+ +

 

+ +

Combination (threshold alerts only): For a +threshold-alert, we must decide how +the values will be used for alert consideration. This variable asks: for the +metric values of a single metric-key that fall within the ‘alert window +duration’, what condition will cause the alert to be triggered? Is the average of the metric values above or +below the threshold? Are all metrics +values above or below the threshold? Is any +metric value above or below the threshold? Are 'at least' or 'at most' X metric +values above or below the threshold?

+ +

 

+ +

For example, say a metric-key has several values within +the ‘window duration’, and those values are ‘1, 3, 5, 7’. Let’s also say that +we have a threshold of ‘6’ & an operator of ‘less than’. What happens – did +we trigger the alert? Do we consider the average of those numbers? Do all of +them have to be less than 6?

+ +

 

+ +

The ‘combination’ field makes the user choose how the metric values are evaluated. One +can choose from ‘any value’, ‘all values’, the ‘average of the values’, ‘at +most X values’, or ‘at least X values’.

+ +

 

+ +

In the above example, if we choose ‘average’, then we’d +be saying "The average value of +the metric-key must be less than of 6". Since the average value is 4, the +alert would be triggered.

+ +

 

+ +

Combination count +(threshold alerts only): When one chooses a ‘combination’ of ‘at most X +values’ or ‘at least X values’, a count is required. The ‘combination count’ +refers to the number of independent metric values for a single metric-key that +fall within the ‘alert window duration’.

+ +

 

+ +

In the previous example of ‘1, 3, 5, 7’ < 6, if we +have a ‘combination’ of "at least" and a ‘combination count’ of 2, +then we’re effectively saying: "At least 2 metric-key values must be less +than 6". Since both 1, 3, and 5 are all less than 6, the alert would be +triggered.

+ +

 

+ +

This value must be greater than or equal to 0.

+ +

 

+ +

Threshold +(threshold alerts only): The ‘threshold’ is the value that is compared against +when deciding whether an alert is active or not.

+ +

 

+ +

For example, if an alert states that "At least 2 +metric-key values must be less than the value of 6", then the ‘threshold’ +in that alert is 6.

+ +

 

+ +

 

+ +

Notes:

+ +

·         +For an alert, one can set the ‘caution criteria’, +the ‘danger criteria’, both, or neither. StatsAgg does not require that the +caution or danger criteria be valid for an alert to be created. However, if you +want the alert to *do* something, then you should set some valid alert +criteria.

+ +

·         +A good way to test alert criteria for validity +is to hit the ‘preview’ button. This will give you a preview of what the email +alert would look like. The wording of the email alerts was very carefully +chosen to give readers a ‘plain english’ version of the alert criteria.

+ +

·         +When an alert is triggered by one or more +metrics, a single notification is sent to the receipts listed in the alert’s +‘notification group’. StatsAgg does not currently have the capability of +alerting on each metric-key that tripped the alert separately.

+ +

·         +Each metric-key that is associated with the +alert’s ‘metric group’ is individually considered for triggering the alert. The +data points from different metric-keys are never aggregated together. For +example, say that we have ‘combination’ set to "average":

+ +

MetricSeries1 values: 1 2 3 4 +5   -- avg = 3

+ +

MetricSeries2 values: 1 1 1 1 +1   -- avg = 1

+ +

If the alert’s criterion says to +alert when the average value is greater than 2, then ‘MetricSeries1’ will +trigger the alert, but ‘MetricSeries2’ won’t. In the notification email, only +‘MetricSeries1’ will be mentioned.

+ +

 

+ +

5.6       +Suspensions

+ +

5.6.1        +Suspensions table

+ +

This table lists all current created suspensions. Much of +the functionality on this page speaks for itself, but some functionality +requires some explanation.

+ +

 

+ +

Colored rows

+ +

Blue: The suspension +is currently active.

+ +

 

+ +

5.6.2        +Create +Suspension

+ +

Options

+ +

 

+ +

Name (required): +A unique name for this suspension. Other than uniqueness, the only limitation +is that it must be under 500 characters long.

+ +

 

+ +

Description +(optional): A description of the suspension. Avoid descriptions longer than +1000000 characters.

+ +

 

+ +

Is enabled? +(required): If you want the suspension to be enabled after creation or +alteration, then check this checkbox. When a suspension is disabled, the +suspension won’t be able to suspend any caution or danger alerts.

+ +

 

+ +

Suspend +notification only? (required): When checked, suspended alerts still +evaluate their alert criteria (and display the caution/danger triggered status +on the StatsAgg WebUI); they just don’t send out emails alerts. When unchecked, +suspended alerts will not be evaluated at all. The most common approach is to +have this field checked. Note – this option is not available for a ‘metric +suspension’.

+ +

 

+ +


+Suspend by…

+ +

 

+ +

Alert name +(optional): If you want to suspend a single alert, then suspend it by alert +name.

+ +

 

+ +

Tags (optional): If +you want to suspend a group of alerts that have one or more tags in common, +then suspend by tags. For an alert to be suspended, it must be tagged with +every tag specified in the suspension. Only put one tag per line in the ‘tags’ +textbox.

+ +

 

+ +

Example: if the suspension suspends by tags, with tags: "tag1", +"tag2", "tag3"…

+ +

·         +Alert_1 (tags: "tag1", +"tag2", "tag3") – meets suspension criteria

+ +

·         +Alert_2 (tags: "tag1", +"tag2") – does not meet suspension criteria

+ +

·         +Alert_3 (tags: "tag1", +"tag2", "tag3", "tag4") – meets suspension +criteria

+ +

 

+ +

Everything +(optional): If you want to suspend ALL alerts, except for a select few, +then select this option. For an alert to be spared from suspension, it must be +tagged with at least one of the tags specified in the suspension. Only put one +tag per line in the ‘everything’ textbox.

+ +

 

+ +

Example: if the suspension suspends by everything, with tags: "tag1", +"tag2", "tag3"…

+ +

·         +Alert_1 (tags: "tag1", +"tag2", "tag3") – meets suspension criteria

+ +

·         +Alert_2 (tags: "tag3") – meets +suspension criteria

+ +

·         +Alert_3 (tags: "tag4") – does not +meets suspension criteria

+ +

 

+ +

Metrics +(optional): Unlike all other ‘suspend by’ fields, this ‘metrics’ does not +suspend alerts. Instead, choosing ‘metrics’ will all one to suspend all metrics +(that match the regexes specified) from being considered by ANY alert. This +sort of suspension can be useful if you want to suspend a set of metrics that +span multiple alerts, but aren’t adequately covered by alert tags. Note that +this only prevents metrics from alerting. This does not prevent metrics from +entering StatsAgg, being associated with ‘metric groups’, and being outputted +to the various datastores that StatsAgg supports.

+ +

 

+ +

Example:

+ +

·         +‘Suspend by’: ‘metrics’ & enter a regex of .*123.*

+ +

·         +Wait until the suspension is active…

+ +

·         +Alerts would not be allowed to consider metrics +with 123 in the metric-key for +alerting.

+ +

 

+ +


+Suspension Type…

+ +

 

+ +

Recurring (daily): +This suspension type means that the suspension recurs every day. The suspension +will be active starting at whatever is specified in ‘Start Time’, and will +expire after ‘duration’ minutes.
+
+

+ +

One Time: This +suspension type means that the suspension is only ever used once. Once the +suspension is complete, it will self-delete. The suspension will be active +starting at whatever is specified in ‘Start Date/Time’, and will expire after +‘duration’ minutes.

+ +


+Start Date: Recurring ‘suspensions’ are +only active on or after the date specified in this field.

+ +

The format is: MM/dd/yyyy

+ +

Example: 03/23/2014

+ +

 

+ +

Recurs on +(‘recurring’ suspensions only): Recurring suspensions are active only on +the days specified by ‘recurs on’. This can be used for cases such as "we +have maintenance only on Wednesday nights, so we only want to suspend alerts on +Wednesday night". In a case like this, you would put a check next to ‘W’ +(and no other boxes).

+ +

 

+ +

Start Time: +What time does the ‘suspension’ become active?

+ +

The format is: h:mm a.

+ +

Example: 9:23 AM

+ +

 

+ +

Duration: +Specifies the amount of time that the suspension remains active. This must be a +positive value. For recurring a suspension, duration must be less than or equal +to 1440 minutes (one day).

+ +

 

+ +

 

+ +

Notes

+ +

·         +If a suspension becomes active on a particular +day, and the specified duration takes it into the next day, then the suspension +will continue to remain active (until ‘duration’ minutes have passed). This +happens regardless of whether the ‘recurs on’ field allows suspensions on the +‘next day’ or not.

+ +

·         +The ‘Preview Suspension Associations’ button +next to ‘Suspend By…’ can be used to determine if your suspension rule is +suspending the alert(s) that you want to suspend.

+ +

 

+ +

5.7       +Regex Tester

+ +

If you want to see what metrics StatsAgg is currently +aware of (seen in the last 24 hours), then you can use free-form regular +expressions to view the list of known metrics.

+ +

 

+ +

Note: regular expressions are matched against aggregated metrics. For example, if they +are StatsD metrics, then you should expect to metrics with keys like originalMetricName.sum. Also, if metric +prefixes and/or suffixes were used, then they will also be matched against.

+ +

 

+ +

The regular expression format is Java Regex, and the +‘matches’ method is used.

+ +

For more information, visit…

+ +

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#matches--

+ +

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

+ +

 

+ +

5.8       +Metric Alert Associations

+ +

If you want to see what alerts that are associated with +the current metrics that StatsAgg is aware of (seen in the last 24 hours), then +you can use free-form regular expressions to match against the metrics, and any +alerts that are associated with matched metrics will be displayed.

+ +

 

+ +

For example,

+ +

·         +Search for:
+.*cpu

+ +

·         +This may match several metrics:
+myServer1.cpu
+myServer2.cpu
+myServer3.cpu
+…

+ +

·         +If there is an alert / metric-group combination +that is looking for ‘myServer1.cpu’, and that alert name is ‘MyServer1 CPU % +Alert’, then you will see ‘MyServer1 CPU % Alert’ listed in the results of this +page

+ +

·         +If there is an alert / metric-group combination +that is looking for ‘.*cpu’, and that alert name is ‘All Servers CPU % Alert’, +then you will see ‘All Servers CPU % Alert’ listed in the results of this page
+ 

+ +

Note: regular expressions are matched against aggregated metrics. For example, if they +are StatsD metrics, then you should expect to metrics with keys like originalMetricName.sum. Also, if metric +prefixes and/or suffixes were used, then they will also be matched against.

+ +

 

+ +

The regular expression format is Java Regex, and the ‘matches’ +method is used.

+ +

For more information, visit…

+ +

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#matches--

+ +

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

+ +

 

+ +

5.9       +Forget Metric(s)

+ +

‘Forget Metric(s)’ is a way of telling StatsAgg to +completely forgot about a metric-key & all its values. Everything that +there is to know about the metric key is wiped out.
+
+Examples of when you would want to use this:

+ +

·         +You have StatsD metrics that are constantly +sending their last seen value (like gauges), or are sending 0s (like timers, +counters, etc). If you don’t care about these metric-keys anymore, then +‘forgetting’ them will have StatsAgg stop sending values for them.

+ +

·         +You have an alert that is triggered based off of +criteria that you know is no longer true. A quick way of clearing the +alert-status could be to ‘forget’ the metric-key(s) that are triggering the +alert.

+ +

 

+ +

On the ‘forget metric(s)’ page, you can either forget a +single metric-key, or forget several (via a regex). If you enter values for +both fields, then both fields will be evaluated.
+
+

+ +

Note: regular expressions are matched against aggregated metrics. For example, if they +are StatsD metrics, then you should expect to metrics with keys like originalMetricName.sum. Also, if metric +prefixes and/or suffixes were used, then they will also be matched against.

+ +

 

+ +

The regular expression format is Java Regex, and the +‘matches’ method is used.

+ +

For more information, visit…

+ +

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#matches--

+ +

https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

+ +

 

+ +

5.10  Output +Blacklist

+ +

‘Output Blacklist’ is a mechanism to prevent metrics from +being outputted by StatsAgg.

+ +

For this to work, one must create +a metric group. Once the ‘metric group’ is created, the ‘metric group’ can +be associated with the ‘output blacklist’. Once associated, any metric that is +associated with the ‘metric group’ will be blacklisted from being outputted to +all output modules (Graphite, OpenTSDB, InfluxDB, etc).

+ +

Example usage: bad/stupid tool is sending junk metrics. To +avoid storing them permanently in in Graphite/OpenTSDB/etc, we use the ‘output +blacklist’ in StatsAgg.
+
+

+ +

5.11  Metric +Benchmark

+ +

The page is used to benchmark the regular expressions used +by Metric Groups & Metric Suspensions.

+ +

StatsAgg’s performance, especially after a reboot, can be +affected by the ‘heaviness’ of the regular expressions found in metric groups +& (some) suspensions. It’s not always obvious how heavy a regular +expression is, and finding which ones are the heaviest is even harder when +StatsAgg is loaded with thousands of metric groups.

+ +

This page works by picking a random sampling of N metrics +(where you input the value of N) that are known to StatsAgg. All metric group +& suspension regular expressions are run against the subset of metrics +& timed. After running all regexes against the subset of metrics, the +heaviest regexs are returned (in descending order).

+ +

The accuracy of the benchmark is roughly proportional to the +number of metrics that the regexes are tested against. As a starting point, a +metric subset of 50000 metrics can usually provide a good baseline (without +running for too long).
+
+

+ +

5.12  Alerts +Report

+ +

The ‘Alerts Report’ page is a rollup of several other pages +into a single view (Alerts, Metric Groups, Notification Groups). The spirit of +it is to give those that want as many details about what goes into an alert as +possible, which can be useful when reviewing alerts, auditing, etc. There is no +information on this page that cannot be found elsewhere in the application.
+
+

+ +

5.13  Health +Check

+ +

StatsAgg exposes a health-check page @ /HealthCheck

+ +


+Under normal circumstances, the health-check page should return some +information about StatsAgg, and a status code of HTTP 200.

+ +

 

+ +

StatsAgg will return HTTP 500 on the health-check page +when one of the following criteria is met:

+ +

·         +Failure on connecting to the database.

+ +

·         +Application initialization has failed. Many +conditions can lead to this (failure to initialize the logging library, failure +to start the StatsD and/or Graphite server listeners, etc).

+ +

6    +The Json API

+ +

6.1       +/api/alert-create

+ +

 

+ +

Url: /api/alert-create

+ +

 

+ +

Purpose: Create & modify alerts.
+
+

+ +

Type: HTTP POST
+
+

+ +

Json body field descriptions:

+ +

·         +id – The ‘alert id’. Specify if you want to +alter an existing alert (as opposed to creating a new alert). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Type: String

+ +

·         +description – The ‘description’ field @ here. +Type: String

+ +

·         +metric_group_name – The ‘metric group name’ +field @ here. +Type: String

+ +

·         +alert_type – The ‘alert type’ field @ here. +Type: String

+ +

·         +enabled – The ‘is alert enabled?’ field @ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +caution_enabled – The ‘is caution alerting +enabled?’ field @ here. Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +danger_enabled – The ‘is danger alerting +enabled?’ field @ here. Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +alert_on_positive – The ‘alert on positive’ +field @ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +allow_resend_alert – The ‘resend alert?’ field @ +here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +resend_alert_every – The numeric field of the +‘resend alert every’ field @ here. Ex- for "resend an alert every 4 +minutes", the value of this field would be 4. Type: Number

+ +

·         +resend_alert_every_time_unit – The time unit of +the ‘resend alert every’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, +‘Hours’, or ‘Days’. Type: String

+ +

·         +caution_notification_group_name – The ‘caution +notification group name’ field @ here. Type: String

+ +

·         +caution_positive_notification_group_name – The +‘caution positive notification group name’ field @ here. +Type: String

+ +

·         +caution_minimum_sample_count – The ‘caution +minimum sample count’ field @ here. Type: Number

+ +

·         +caution_operator – The ‘caution operator’ field +@ here. +Valid values: ‘<’, ‘>’, ‘<=’, ‘>=’, ‘=’. Type: String

+ +

·         +caution_combination – The ‘caution combination’ +field @ here. +Valid values: ‘Any’, ‘All’, ‘Average’, ‘At least’, ‘At most’. Type: String

+ +

·         +caution_combination_count – The ‘caution +combination count’ field @ here. Type: Number

+ +

·         +caution_threshold – The ‘caution threshold’ +field @ here. +Type: Number

+ +

·         +caution_window_duration – The numeric field of +the ‘caution window duration’ field @ here. Ex- for "a window duration of 4 +minutes", the value of this field would be 4. Type: Number

+ +

·         +caution_window_duration_time_unit – The time +unit of the ‘caution window duration’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, +‘Hours’, or ‘Days’. Type: String

+ +

·         +caution_stop_tracking_after – The numeric field +of the ‘caution stop tracking after’ field @ here. Ex- for "stop tracking a metric after +4 minutes", the value of this field would be 4. Type: Number

+ +

·         +caution_stop_tracking_after_time_unit – The time +unit of the ‘caution stop tracking after’ field @ here. +Valid values: ‘Seconds’, ‘Minutes’, ‘Hours’, or ‘Days’. Type: String

+ +

·         +danger_notification_group_name – The ‘danger +notification group name’ field @ here. Type: String

+ +

·         +danger_positive_notification_group_name – The +‘danger positive notification group name’ field @ here. +Type: String

+ +

·         +danger_minimum_sample_count – The ‘danger +minimum sample count’ field @ here. Type: Number

+ +

·         +danger_operator – The ‘danger operator’ field @ here. +Valid values: ‘<’, ‘>’, ‘<=’, ‘>=’, ‘=’. Type: String

+ +

·         +danger_combination – The ‘danger combination’ +field @ here. +Valid values: ‘Any’, ‘All’, ‘Average’, ‘At least’, ‘At most’. Type: String

+ +

·         +danger_combination_count – The ‘danger +combination count’ field @ here. Type: Number

+ +

·         +danger_threshold – The ‘danger threshold’ field +@ here. +Type: Number

+ +

·         +danger_window_duration – The numeric field of +the ‘danger window duration’ field @ here. Ex- for "a window duration of 4 +minutes", the value of this field would be 4. Type: Number

+ +

·         +danger_window_duration_time_unit – The time unit +of the ‘danger window duration’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, +‘Hours’, or ‘Days’. Type: String

+ +

·         +danger_stop_tracking_after – The numeric field +of the ‘danger stop tracking after’ field @ here. Ex- for "stop tracking a metric after +4 minutes", the value of this field would be 4. Type: Number

+ +

·         +danger_stop_tracking_after_time_unit – The time +unit of the ‘danger stop tracking after’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, ‘Hours’, +or ‘Days’. Type: String

+ +


+Notes:

+ +

·         +Modifying an alert will replace everything about +the alert with the new fields for the alert. This applies to ALL fields; not just those specified. +For example, with this API, you can’t update the ‘caution_threshold’ field +without posting all the other fields.

+ +

·         +If ‘id’ is specified, then that tells this API +that an alert of the specified id will be modified with the specified values.

+ +

·         +‘metric_group_id’ can be used in place of +‘metric_group_name’. If both are specified, then ‘metric_group_name’ will be +used.

+ +

·         +‘caution_notification_group_id’ can be used in +place of ‘caution_notification_group_name’. If both are specified, then +‘caution_notification_group_name’ will be used.

+ +

·         +‘caution_positive_notification_group_id’ can be +used in place of ‘caution_positive_notification_group_name’. If both are +specified, then ‘caution_positive_notification_group_name’ will be used.

+ +

·         +‘danger_notification_group_id’ can be used in +place of ‘danger_notification_group_name’. If both are specified, then +‘danger_notification_group_name’ will be used.

+ +

·         +‘danger_positive_notification_group_id’ can be +used in place of ‘danger_positive_notification_group_name’. If both are +specified, then ‘danger_positive_notification_group_name’ will be used.

+ +


+Example request POST body:

+ +

{

+ +

    +"id": 944,

+ +

    +"name": "Firewall Disk Space",

+ +

    +"description": "Send an alerts when firewall disk space +is low. Send a caution alert when disk space is greater than 50%. Send a danger +alert when disk space is greater than or equal to 90%.",

+ +

    +"metric_group_name": "Firewall Disk Space",

+ +

    +"alert_type": "Threshold",

+ +

    +"enabled": true,

+ +

    +"caution_enabled": true,

+ +

    +"danger_enabled": true,

+ +

    +"alert_on_positive": true,

+ +

    +"allow_resend_alert": true,

+ +

    +"resend_alert_every": 2,

+ +

    +"resend_alert_every_time_unit": "Hours",

+ +

    +"caution_notification_group_name": "Firewall Team +Oncall",

+ +

    +"caution_positive_notification_group_name": "Firewall +Team",

+ +

    +"caution_minimum_sample_count": 2,

+ +

    +"caution_operator": ">",

+ +

    +"caution_combination": "Any",

+ +

    +"caution_threshold": 50,

+ +

    +"caution_window_duration": 4,

+ +

    +"caution_window_duration_time_unit": "Minutes",

+ +

    +"danger_notification_group_name": "Firewall Team +Oncall",
+    "danger_positive_notification_group_name": +"Firewall Team",

+ +

    +"danger_minimum_sample_count": 4,   

+ +

    +"danger_operator": ">=",

+ +

    +"danger_combination": "At Least",

+ +

    +"danger_combination_count": "3",

+ +

    +"danger_threshold": 90,

+ +

    +"danger_window_duration": 10,

+ +

    +"danger_window_duration_time_unit": "Minutes"

+ +

}

+ +

 

+ +

6.2       /api/alert-details

+ +

 

+ +

Url: /api/alert-details

+ +

 

+ +

Purpose: Retrieves details about an +individual alert. The fields will match the fields seen here +& here.

+ +

 

+ +

Type: HTTP POST or HTTP GET

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘alert id’. Specifies which alert you +want to get details about (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which alert you want to get details about (by name). Type: String

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.

+ +

·         +If making an HTTP GET request, specify the id or +name as url-encoded query string parameters.

+ +

o   +Ex: /api/alert-details?name=MyAlert

+ +

·         +Some fields may appear in the HTTP response that +are not directly a part of an alert. For example, the ‘metric_group_tags’ +values are properties of the ‘metric group’ that is associated with the alert, +but they are provided in the body of this response to make the output more +useful.
+
+

+ +

Example request POST body:

+ +

{

+ +

    "id": 944

+ +

}

+ +

 

+ +

Example response body:

+ +

{

+ +

  "id": 944,

+ +

  "name": "Firewall Disk +Space",

+ +

  "description": "Send an alerts +when firewall disk space is low. Send a caution alert when disk space is +greater than 50%. Send a danger alert when disk space is greater than or equal +to 90%.",

+ +

  "metric_group_id": 1161,

+ +

  "enabled": true,

+ +

  "caution_enabled": true,

+ +

  "danger_enabled": true,

+ +

  "alert_on_positive": true,

+ +

  "allow_resend_alert": true,

+ +

  "caution_notification_group_id": +976,

+ +

  +"caution_positive_notification_group_id": 987,

+ +

  "caution_minimum_sample_count": 2,

+ +

  "caution_alert_active": false,

+ +

  "danger_notification_group_id": +976,

+ +

  "danger_positive_notification_group_id": +987,

+ +

  "danger_minimum_sample_count": 4,

+ +

  "danger_alert_active": false,

+ +

  "metric_group_name": "Firewall +Disk Space",

+ +

    "metric_group_tags": [

+ +

      "demo",

+ +

      "disk space",

+ +

      "firewall"

+ +

    ],

+ +

  "caution_notification_group_name": +"Firewall Team Oncall",

+ +

  +"caution_positive_notification_group_name": "Firewall +Team",

+ +

  "danger_notification_group_name": +"Firewall Team Oncall",

+ +

  +"danger_positive_notification_group_name": "Firewall +Team",

+ +

  "alert_type": "Threshold",

+ +

  "resend_alert_every": 2,

+ +

  "resend_alert_every_time_unit": +"Hours",

+ +

  "caution_operator": +">",

+ +

  "caution_combination": +"Any",

+ +

  "caution_threshold": 50,

+ +

  "caution_window_duration": 4,

+ +

  +"caution_window_duration_time_unit": "Minutes",

+ +

  "danger_operator": +">=",

+ +

  "danger_combination": +"Any",

+ +

  "danger_threshold": 90,

+ +

  "danger_window_duration": 10,

+ +

  "danger_window_duration_time_unit": +"Minutes"

+ +

}

+ +

 

+ +

6.3       /api/alert-enable

+ +

 

+ +

Url: /api/alert-enable

+ +

 

+ +

Purpose: Enable or disable an alert.

+ +

 

+ +

Type: HTTP POST

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘alert id’. Specifies which alert you +want to enable or disable (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which alert you want to enable or disable (by name). Type: String

+ +

·         +enabled – The ‘is alert enabled?’ field @ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.
+
+

+ +

Example request POST body:

+ +

{

+ +

    "id": 944,

+ +

    "enabled": true

+ +

}

+ +

 

+ +

6.4       /api/alert-remove

+ +

 

+ +

Url: /api/alert-remove

+ +

 

+ +

Purpose: Remove (delete) an alert.

+ +

 

+ +

Type: HTTP POST

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘alert id’. Specifies which alert you +want to remove (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which alert you want to remove (by name). Type: String

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.

+ +

 

+ +

Example request POST body:

+ +

{

+ +

    "id": 944

+ +

}

+ +

 

+ +

6.5       /api/alerts-list

+ +

 

+ +

Url: /api/alerts-list

+ +

 

+ +

Purpose: Retrieves details about all of +StatsAgg’s alerts. The details provided match those of /api/alert-details, but +for all alerts. The fields will match the fields seen here +& here.

+ +

 

+ +

Type: HTTP GET
+
+

+ +

Notes:

+ +

·         +Some fields may appear in the HTTP response that +are not directly a part of an alert. For example, the ‘metric_group_tags’ +values are properties of the ‘metric group’ that is associated with the alert, +but they are provided in the body of this response to make the output more +useful.

+ +

 

+ +

Example response body:

+ +

[
+{

+ +

    "id": 944,

+ +

    "name": "Firewall Disk +Space",

+ +

    "description": "Send an +alerts when firewall disk space is low. Send a caution alert when disk space is +greater than 50%. Send a danger alert when disk space is greater than or equal +to 90%.",

+ +

    "metric_group_id": 1161,

+ +

    "enabled": true,

+ +

    "caution_enabled": true,

+ +

    "danger_enabled": true,

+ +

    "alert_on_positive": true,

+ +

    "allow_resend_alert": true,

+ +

    "caution_notification_group_id": +976,

+ +

    +"caution_positive_notification_group_id": 987,

+ +

    "caution_minimum_sample_count": +2,

+ +

    "caution_alert_active": false,

+ +

    "danger_notification_group_id": +976,

+ +

    +"danger_positive_notification_group_id": 987,

+ +

    "danger_minimum_sample_count": 4,

+ +

    "danger_alert_active": false,

+ +

    "metric_group_name": +"Firewall Disk Space",

+ +

    +"metric_group_tags": [

+ +

      "demo",

+ +

      "disk space",

+ +

      "firewall"

+ +

    ],

+ +

    +"caution_notification_group_name": "Firewall Team +Oncall",

+ +

    +"caution_positive_notification_group_name": "Firewall +Team",

+ +

    "danger_notification_group_name": +"Firewall Team Oncall",

+ +

    +"danger_positive_notification_group_name": "Firewall +Team",

+ +

    "alert_type": +"Threshold",

+ +

    "resend_alert_every": 2,

+ +

    "resend_alert_every_time_unit": +"Hours",

+ +

    "caution_operator": +">",

+ +

    "caution_combination": +"Any",

+ +

    "caution_threshold": 50,

+ +

    "caution_window_duration": 4,

+ +

    +"caution_window_duration_time_unit": "Minutes",

+ +

    "danger_operator": +">=",

+ +

    "danger_combination": +"Any",

+ +

    "danger_threshold": 90,

+ +

    "danger_window_duration": 10,

+ +

    +"danger_window_duration_time_unit": "Minutes"

+ +

  },

+ +

  {

+ +

    "id": 945,

+ +

    "name": "Web Disk +Space",

+ +

    "description": "Send an +alerts when web server disk space is low. Send a caution alert when disk space +is greater than 50%. Send a danger alert when disk space is greater than or +equal to 90%.",

+ +

    "metric_group_id": 1162,

+ +

    "enabled": true,

+ +

    "caution_enabled": true,

+ +

    "danger_enabled": true,

+ +

    "alert_on_positive": true,

+ +

    "allow_resend_alert": false,

+ +

    "caution_notification_group_id": +977,

+ +

    +"caution_positive_notification_group_id": 977,

+ +

    "caution_minimum_sample_count": +2,

+ +

    "caution_alert_active": true,

+ +

    +"caution_alert_last_sent_timestamp": "Sep 6, 2016 9:15:00 +PM",

+ +

    +"caution_alert_acknowledged_status": false,

+ +

    "caution_first_active_at": +"Sep 6, 2016 9:15:00 PM",

+ +

    "danger_notification_group_id": +977,

+ +

    +"danger_positive_notification_group_id": 977,

+ +

    "danger_minimum_sample_count": 4,

+ +

    "danger_alert_active": true,

+ +

    "danger_alert_last_sent_timestamp": +"Sep 6, 2016 9:15:10 PM",

+ +

    +"danger_alert_acknowledged_status": false,

+ +

    "danger_first_active_at": +"Sep 6, 2016 9:15:10 PM",

+ +

    "metric_group_name": "Web +Disk Space",

+ +

    "metric_group_tags": [

+ +

      "demo",

+ +

      "disk space",

+ +

      "web"

+ +

    ],

+ +

    +"caution_notification_group_name": "Web Team",

+ +

    +"caution_positive_notification_group_name": "Web +Team",

+ +

    "danger_notification_group_name": +"Web Team",

+ +

    +"danger_positive_notification_group_name": "Web +Team",

+ +

    "alert_type": +"Threshold",

+ +

    "caution_operator": +">",

+ +

    "caution_combination": +"Any",

+ +

    "caution_threshold": 50,

+ +

    "caution_window_duration": 240,

+ +

    +"caution_window_duration_time_unit": "Seconds",

+ +

    "danger_operator": +">=",

+ +

    "danger_combination": +"Any",

+ +

    "danger_threshold": 90,

+ +

    "danger_window_duration": 360,

+ +

    +"danger_window_duration_time_unit": "Seconds"

+ +

}
+]

+ +

 

+ +

6.6       +/api/suspension-create

+ +

 

+ +

Url: /api/suspension-create

+ +

 

+ +

Purpose: Create & modify +suspensions.
+
+

+ +

Type: HTTP POST
+
+

+ +

Json body field descriptions:

+ +

·         +id – The ‘suspension id’. Specify if you want to +alter an existing suspension (as opposed to creating a new suspension). Type: +Number

+ +

·         +name – The ‘name’ field @ here. +Type: String

+ +

·         +description – The ‘description’ field @ here. +Type: String

+ +

·         +enabled – The ‘is enabled?’ field @ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +suspend_notification_only – The ‘suspend +notification only?’ field @ here. Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +suspend_by – The ‘suspend by…’ field @ here. +Valid values: ‘AlertName’, ‘Tags’, ‘Everything’, ‘Metrics’. Type: String

+ +

·         +alert_name – The ‘alert name’ field @ here. +Type: String

+ +

·         +metric_group_tags_inclusive – The ‘tags’ field @ +here. +Type: Json Array of Strings

+ +

·         +metric_group_tags_exclusive – The ‘everything’ +field @ here. +Type: Json Array of Strings

+ +

·         +metric_suspension_regexes – The ‘metrics’ field +@ here. +Type: Json Array of Strings

+ +

·         +one_time – Covers the ‘recurring’ & ‘one +time’ fields @ here. If this field is false, then this is a +‘recurring’ suspension. If this field is true, then this is a ‘one time’ +suspension. Type: boolean

+ +

·         +start_date – The ‘start date’ field @ here. +Type: String

+ +

·         +start_time – The ‘start time’ field @ here. +Type: String

+ +

·         +recur_sunday – The Sunday field of ‘recurs on’ @ +here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +recur_monday – The Monday field of ‘recurs on’ @ +here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +recur_tuesday – The Tuesday field of ‘recurs on’ +@ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +recur_wednesday – The Wednesday field of ‘recurs +on’ @ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +recur_thursday – The Thursday field of ‘recurs +on’ @ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +recur_friday – The Friday field of ‘recurs on’ @ +here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +recur_saturday – The Saturday field of ‘recurs +on’ @ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

·         +duration – The numeric field of the ‘duration’ +field @ here. +Ex- for "duration of 4 minutes", the value of this field would +be 4. Type: Number

+ +

·         +duration_time_unit – The time unit of the +‘duration’ field @ here. Valid values: ‘Seconds’, ‘Minutes’, +‘Hours’, or ‘Days’. Type: String

+ +


+Notes:

+ +

·         +Modifying a suspension will replace everything +about the suspension with the new fields for the suspension. This applies to ALL fields; not just those specified. +For example, with this API, you can’t update the ‘description’ field without +posting all the other fields.

+ +

·         +If ‘id’ is specified, then that tells this API +that a suspension of the specified id will be modified with the specified +values.

+ +


+Example request POST body:

+ +

{

+ +

  +"name": "Disk Space -- Demo",

+ +

  +"description": "This alert suspension will suspend +alerting every Saturday & Sunday night at 9pm. The suspension will last for +2 hours. Only alerts that are associated with the 'demo' tag will be +suspended.",

+ +

  +"enabled": true,

+ +

  +"suspend_notification_only": true,

+ +

  +"suspend_by": "Tags",

+ +

  +"metric_group_tags_inclusive": [

+ +

    +"demo"

+ +

  ],

+ +

  +"one_time": false,

+ +

  +"start_date": "01/01/2015",

+ +

  +"start_time": "9:00 PM",

+ +

  +"recur_sunday": true,

+ +

  +"recur_monday": false,

+ +

  +"recur_tuesday": false,

+ +

  +"recur_wednesday": false,

+ +

  +"recur_thursday": false,

+ +

  +"recur_friday": false,

+ +

  +"recur_saturday": true,

+ +

  +"duration": 2,

+ +

  +"duration_time_unit": "Hours"

+ +

}

+ +

 

+ +

6.7       /api/suspension-details

+ +

 

+ +

Url: /api/suspension-details

+ +

 

+ +

Purpose: Retrieves details about an +individual suspension. The fields will match the fields seen here +& here.

+ +

 

+ +

Type: HTTP POST or HTTP GET

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘suspension id’. Specifies which +suspension you want to get details about (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which suspension you want to get details about (by name). Type: +String

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.

+ +

·         +If making an HTTP GET request, specify the id or +name as url-encoded query string parameters.

+ +

o   +Ex: /api/suspension-details?name=MySuspension
+
+

+ +

Example request POST body:

+ +

{

+ +

    "id": 353

+ +

}

+ +

 

+ +

Example response body:

+ +

{

+ +

  +"id": 353,

+ +

  +"name": "Disk Space",

+ +

  +"description": "This alert suspension will suspend +alerting every Saturday & Sunday night at 9pm. The suspension will last for +2 hours. Only alerts that are associated with the 'demo' tag will be +suspended.",

+ +

  +"enabled": true,

+ +

  +"suspend_notification_only": true,

+ +

  +"metric_group_tags_inclusive": [

+ +

    +"demo"

+ +

  ],

+ +

  +"one_time": false,

+ +

  +"recur_sunday": true,

+ +

  +"recur_monday": false,

+ +

  +"recur_tuesday": false,

+ +

  +"recur_wednesday": false,

+ +

  +"recur_thursday": false,

+ +

  +"recur_friday": false,

+ +

  +"recur_saturday": true,

+ +

  +"suspend_by": "Tags",

+ +

  +"duration": 2,

+ +

  +"duration_time_unit": "Hours",

+ +

  +"start_date": "01/01/2015",

+ +

  +"start_time": "9:00 PM"

+ +

}

+ +

6.8       /api/suspension-enable

+ +

 

+ +

Url: /api/suspension-enable

+ +

 

+ +

Purpose: Enable or disable a +suspension.

+ +

 

+ +

Type: HTTP POST

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘suspension id’. Specifies which +suspension you want to enable or disable (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which suspension you want to enable or disable (by name). Type: String

+ +

·         +enabled – The ‘is suspension enabled?’ field @ here. +Can be ‘true’ or ‘false’. Type: Boolean

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.
+
+

+ +

Example request POST body:

+ +

{

+ +

    "id": 353,

+ +

    "enabled": true

+ +

}

+ +

 

+ +

6.9       /api/suspension-remove

+ +

 

+ +

Url: /api/suspension-remove

+ +

 

+ +

Purpose: Remove (delete) a suspension.

+ +

 

+ +

Type: HTTP POST

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘suspension id’. Specifies which +suspension you want to remove (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which suspension you want to remove (by name). Type: String

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.

+ +

 

+ +

Example request POST body:

+ +

{

+ +

    "id": 353

+ +

}

+ +

 

+ +

6.10  /api/suspensions-list

+ +

 

+ +

Url: /api/suspensions-list

+ +

 

+ +

Purpose: Retrieves details about all of +StatsAgg’s suspensions. The details provided match those of +/api/suspension-details, but for all suspensions. The fields will match the +fields seen here & here.

+ +

 

+ +

Type: HTTP GET
+
+

+ +

Example response body:

+ +

[
+  {

+ +

    +"id": 353,

+ +

    +"name": "Disk Space",

+ +

    +"description": "This alert suspension will suspend +alerting every Saturday & Sunday night at 9pm. The suspension will last for +2 hours. Only alerts that are associated with the 'demo' tag will be +suspended.",

+ +

    +"enabled": true,

+ +

    +"suspend_notification_only": true,

+ +

    "metric_group_tags_inclusive": [

+ +

      +"demo"

+ +

    ],

+ +

    +"one_time": false,

+ +

    +"recur_sunday": true,

+ +

    +"recur_monday": false,

+ +

    +"recur_tuesday": false,

+ +

    +"recur_wednesday": false,

+ +

    +"recur_thursday": false,

+ +

    +"recur_friday": false,

+ +

    +"recur_saturday": true,

+ +

    +"suspend_by": "Tags",

+ +

    +"duration": 2,

+ +

    +"duration_time_unit": "Hours",

+ +

    +"start_date": "01/01/2015",

+ +

    +"start_time": "9:00 PM"

+ +

  },

+ +

  {

+ +

    +"id": 67,

+ +

    +"name": "cpu_nonprd",

+ +

    +"description": "Suspends non-production alerts for CPU +utilization",

+ +

    +"enabled": false,

+ +

    +"suspend_notification_only": false,

+ +

    +"metric_group_tags_exclusive": [

+ +

      +"production"

+ +

    ],

+ +

    +"one_time": false,

+ +

    +"suspend_notification_only": true,

+ +

    +"recur_sunday": true,

+ +

    +"recur_monday": true,

+ +

    +"recur_tuesday": true,

+ +

    +"recur_wednesday": true,

+ +

    +"recur_thursday": true,

+ +

    +"recur_friday": true,

+ +

    +"recur_saturday": true,

+ +

    +"suspend_by": "Everything",

+ +

    +"duration": 8,

+ +

    +"duration_time_unit": "Hours",

+ +

    +"start_date": "07/20/2014",

+ +

    +"start_time": "9:00 PM"

+ +

  }

+ +

]

+ +

 

+ +

6.11  +/api/metric-group-create

+ +

 

+ +

Url: /api/metric-group-create

+ +

 

+ +

Purpose: Create & modify metric +groups.
+
+

+ +

Type: HTTP POST
+
+

+ +

Json body field descriptions:

+ +

·         +id – The ‘metric group id’. Specify if you want +to alter an existing metric group (as opposed to creating a new metric group). +Type: Number

+ +

·         +name – The ‘name’ field @ here. +Type: String

+ +

·         +description – The ‘description’ field @ here. +Type: String

+ +

·         +match_regexes – The ‘regular expressions’ field +@ here. +Type: Json Array of Strings

+ +

·         +blacklist_regexes – The ‘blacklist regular +expressions’ field @ here. Type: Json Array of Strings

+ +

·         +tags – The ‘tags’ field @ here. +Type: Json Array of Strings

+ +


+Notes:

+ +

·         +Modifying a metric group will replace everything +about the metric group with the new fields for the metric group. This applies +to ALL fields; not just those +specified. For example, with this API, you can’t update the ‘description’ field +without posting all the other fields.

+ +

·         +If ‘id’ is specified, then that tells this API +that a metric group of the specified id will be modified with the specified +values.

+ +


+Example request POST body:

+ +

{

+ +

  "name": "Application Disk +Space",

+ +

  "description": "Ties together +all disk-space metrics that are associated with application1 and application2.",

+ +

  "match_regexes": [

+ +

    ".*application1.*diskSpace.*",

+ +

    ".*application2.*diskSpace.*"

+ +

  ],

+ +

  "blacklist_regexes": [

+ +

    +".*application1.*diskSpace.*temp_disk",

+ +

    ".*application2.*diskSpace.*temp_disk +"

+ +

  ],

+ +

  "tags": [

+ +

    "application",

+ +

    "demo",

+ +

    "disk space"

+ +

  ]

+ +

}

+ +

 

+ +

6.12  /api/metric-group-details

+ +

 

+ +

Url: /api/metric-group-details

+ +

 

+ +

Purpose: Retrieves details about an +individual metric group. The fields will match the fields seen here.

+ +

 

+ +

Type: HTTP POST or HTTP GET

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘metric group id’. Specifies which +metric group you want to get details about (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which metric group you want to get details about (by name). Type: +String

+ +

·         +include_metric_associations – Specifies if you +want to include a list of current metric associations. Can be ‘true’ or +‘false’. Type: Boolean

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.

+ +

·         +If making an HTTP GET request, specify the id or +name as url-encoded query string parameters.

+ +

o   +Ex: /api/metric-group-details?name=MyMetricGroup
+
+

+ +

Example request POST body:

+ +

{

+ +

    "id": 1130

+ +

}

+ +

 

+ +

Example response body:

+ +

{

+ +

  "id": 1130,

+ +

  "name": "Application Disk +Space",

+ +

  "description": "Ties together +all disk-space metrics that are associated with application1 and +application2.",

+ +

  "match_regexes": [

+ +

    ".*application1.*diskSpace.*",

+ +

    ".*application2.*diskSpace.*"

+ +

  ],

+ +

  "blacklist_regexes": [],

+ +

  "associated_metrics": [

+ +

    +"someImportantPrefix.application2.diskspace.root-drive",
+    +"someImportantPrefix.application2.diskspace.swap-drive"

+ +

  ],

+ +

  "tags": [

+ +

    "application",

+ +

    "demo",

+ +

    "disk space"

+ +

  ]

+ +

}

+ +

 

+ +

6.13  /api/metric-group-remove

+ +

 

+ +

Url: /api/metric-group-remove

+ +

 

+ +

Purpose: Remove (delete) a metric +group.

+ +

 

+ +

Type: HTTP POST

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘metric group id’. Specifies which metric +group you want to remove (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which metric group you want to remove (by name). Type: String

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.

+ +

 

+ +

Example request POST body:

+ +

{

+ +

    "id": 353

+ +

}

+ +

 

+ +

6.14  /api/metric-groups-list

+ +

 

+ +

Url: /api/metric-groups-list

+ +

 

+ +

Purpose: Retrieves details about all of +StatsAgg’s metric groups. The details provided match those of +/api/metric-group-details, but for all metric groups. The fields will match the +fields seen here.

+ +

 

+ +

Type: HTTP GET
+
+

+ +

Example response body:

+ +

[

+ +

 {

+ +

    "id": 1129,

+ +

    "name": "Database Disk +Space",

+ +

    "description": "",

+ +

    "match_regexes": [

+ +

      ".*database.*disk.*",

+ +

    ],

+ +

    "blacklist_regexes": [],

+ +

    "tags": [

+ +

      "database",

+ +

      "demo",

+ +

      "disk space"

+ +

    ]

+ +

  },

+ +

  {

+ +

    "id": 1130,

+ +

    "name": "Application Disk +Space",

+ +

    "description": "Ties +together all disk-space metrics that are associated with application1 and +application2.",

+ +

    "match_regexes": [

+ +

      ".*application1.*diskSpace.*",

+ +

      ".*application2.*diskSpace.*"

+ +

    ],

+ +

    "blacklist_regexes": [

+ +

      +".*application1.*diskSpace.*temp_disk",

+ +

      +".*application2.*diskSpace.*temp_disk "

+ +

    ],

+ +

    "tags": [

+ +

      "application",

+ +

      "demo",

+ +

      "disk space"

+ +

    ]

+ +

  }

+ +

]

+ +

6.15  /api/notification-group-create

+ +

 

+ +

Url: /api/notification-group-create

+ +

 

+ +

Purpose: Create & modify +notification groups.
+
+

+ +

Type: HTTP POST
+
+

+ +

Json body field descriptions:

+ +

·         +id – The ‘notification group id’. Specify if you +want to alter an existing notification group (as opposed to creating a new +notification group). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Type: String

+ +

·         +email_addresses –  The ‘email addresses’ field @ here. +Type: Json Array of Strings

+ +


+Notes:

+ +

·         +Modifying a notification group will replace +everything about the notification group with the new fields for the +notification group. This applies to ALL +fields; not just those specified.

+ +

·         +If ‘id’ is specified, then that tells this API +that a notification group of the specified id will be modified with the +specified values.

+ +


+Example request POST body:

+ +

  {

+ +

    +"name": "Application Team Demo",

+ +

    +"email_addresses": [

+ +

      +"apps@noreply.com",

+ +

      +"demo@noreply.com"

+ +

    ]

+ +

  }

+ +

 

+ +

6.16  /api/notification-group-details

+ +

 

+ +

Url: /api/notification-group-details

+ +

 

+ +

Purpose: Retrieves details about an +individual notification group. The fields will match the fields seen here.

+ +

 

+ +

Type: HTTP POST or HTTP GET

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘notification group id’. Specifies +which notification group you want to get details about (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which notification group you want to get details about (by name). +Type: String

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.

+ +

·         +If making an HTTP GET request, specify the id or +name as url-encoded query string parameters.

+ +

o   +Ex: /api/notification-group-details?name=MyNotificationGroup
+
+

+ +

Example request POST body:

+ +

{

+ +

    "id": 961

+ +

}

+ +

 

+ +

Example response body:

+ +

{

+ +

  "id": 961,

+ +

  "name": "Application +Team",

+ +

  "email_addresses": [

+ +

    "apps@noreply.com",

+ +

    "demo@noreply.com"

+ +

  ]

+ +

}

+ +

6.17  /api/notification-group-remove

+ +

 

+ +

Url: /api/notification-group-remove

+ +

 

+ +

Purpose: Remove (delete) a notification +group.

+ +

 

+ +

Type: HTTP POST

+ +

 

+ +

Json body field descriptions:

+ +

·         +id – The ‘notification group id’. Specifies which +notification group you want to remove (by id). Type: Number

+ +

·         +name – The ‘name’ field @ here. +Specifies which notification group you want to remove (by name). Type: String

+ +

 

+ +

Notes:

+ +

·         +If ‘id’ and ‘name’ are both specified, the value +of ‘id’ will be used.

+ +

 

+ +

Example request POST body:

+ +

{

+ +

    "id": 961

+ +

}

+ +

 

+ +

6.18  /api/notification-groups-list

+ +

 

+ +

Url: /api/notification-groups-list

+ +

 

+ +

Purpose: Retrieves details about all of +StatsAgg’s notification groups. The details provided match those of +/api/notification-group-details, but for all notification groups. The fields +will match the fields seen here.

+ +

 

+ +

Type: HTTP GET
+
+

+ +

Example response body:

+ +

[

+ +

  {

+ +

    "id": 961,

+ +

    "name": "Application +Team",

+ +

    "email_addresses": [

+ +

      "apps@noreply.com",

+ +

      "demo@noreply.com"

+ +

    ]

+ +

  },

+ +

  {

+ +

    "id": 962,

+ +

    "name": "Database +Team",

+ +

    "email_addresses": [

+ +

      "dba@noreply.com",

+ +

      "demo@noreply.com"

+ +

    ]

+ +

  }

+ +

]

+ +

7    HTTP +POST Tips & recommended usage patterns.

+ +

7.1       +Memory optimization

+ +

StatsAgg achieves high-performance by keeping nearly all +of its data in memory (Java heap). As a result, the more notifications that are +sent to it, the more memory is needed. ‘Notification groups’ & alerts also +contribute to memory usage. Here are some tips for making sure you don’t run +out of memory:

+ +

·         +Try to keep the number of notifications that get +associated with a ‘notification group’ to a minimum.

+ +

·         +For alerts, keep ‘window duration’ to as narrow +of a value as possible. StatsAgg only keeps the absolute minimum number of data +points in memory that it needs to, but if the ‘window duration’ for an alert is +set to a wide time-frame (ex—1 day), then StatsAgg will have to keep all of the +data points associated with that alert’s ‘notification group’ in memory for the +entire ‘window duration’.

+ +

·         +A 4GB heap should be enough for most +moderate-use use-cases. When consuming notifications at higher rates, an 8GB +heap (or more) may be needed.

+ +

o   Proper +memory sizing will ultimately on your specific usage pattern, so it may take +some trial/error.

+ +

·         +StatsD timer notifications use a lot of memory +compared to other notification types. This is because StatsD timer +notifications, upon aggregation, are ballooned up into many separate +notifications.

+ +

o   Incidentally, +StatsD timer notifications also use the most CPU of any notification type.

+ +

·         +StatsAgg has absolutely no limitations on how +many notifications it will try to consume/keep in memory/aggregate/output/etc. +If you create a ‘notification group’ that captures every single notification, +and then create an alert (using that ‘notification group’) with a +window-duration of 1000 years, StatsAgg will let you do this. Given enough data +points, this will likely result in StatsAgg running out of memory & +crashing.

+ +

·         +Send notifications less frequently. StatsAgg is +very capable of handling millions of notification-series that send data +infrequently. It will have more when receiving notifications at very high rates +– even if the number of notification-series is very low.

+ +

·         +Because StatsAgg is written in Java & it +keeps much of its data in-memory, heap dumps can be very useful in figuring out +what specifically is causing all your memory usage. Is it an alert with an +overly-wide ‘window duration’? Is it that an application is feeding +notifications into StatsAgg at a rate of 1,000,000,000 notifications per second? +Heap dumps are great at helping to figure this stuff out.

+ +

o   Eclipse +MAT is the first-choice for heap dump analysis.

+ +

o   VisualVM +is also good at analyzing heap dumps.

+ +

 

+ +

7.2       +TCP vs UDP

+ +

Under most circumstances, TCP is recommended over UDP for +use with StatsAgg. UDP is an inherently packet-loss prone protocol, and under +normal conditions, it is often possible to lose a non-trivial percentage of +your packets. TCP has more guarantees on connectivity & delivery of data, +so it is the preferred protocol of the author of StatsAgg. TCP & UDP +notification consumption are very lightweight in StatsAgg, so there is no real +performance consideration for using one or the other.

+ +

 

+ +

For TCP, the recommended approach is to open a +connection, send the notifications, and close the connection. Leaving a +connection open/hanging will tie up StatsAgg & operating system resources +with no meaningful benefit.

+ +

 

+ +

7.3       +JRE/JDK Version

+ +

·         +Java 1.8 is the minimum Java spec that StatsAgg +supports.

+ +

·         +At the time of writing, OpenJDK Java 11 is the +recommended Java Runtime Engine for StatsAgg.

+ +

·         +64bit (x64) versions of Java are generally +recommended over 32bit versions (x86)

+ +

 

+ +

7.4       +Recommended JVM options

+ +

·         +Recommended garbage collector: G1GC

+ +

o   +-XX:+UseG1GC

+ +

o   +-XX:MaxGCPauseMillis=5000

+ +

·         +Maximum Heap size: this heavily depends on your +usage of StatsAgg.

+ +

o   +A good starting place is a 2.5GB heap via +-Xmx2560m

+ +

o   +StatsAgg has been tested with maximum heap sizes +as low as 512MB & as high as 48GB.

+ +

o   +If StatsAgg is the only application running on +your server, then consider raising the maximum heap size as large as 75% of the +physical memory of your server.

+ +

·         +Any JVM option that wasn’t explicitly mentioned +somewhere in this manual is not recommended (unless you’re a Java JVM tuning +expert). Tune the JVM settings at your own risk.

+ +

8    +Frequently asked questions

+ +

1)      +Why bother completely re-implementing the StatsD +protocol?

+ +

a.       When +StatsAgg was first started, StatsD did not support TCP-based notification +transmission, so StatsAgg sought to correct that. Also, limitations like +‘forgets Gauge values after a restart’ were a deal-breaker for many use-cases, +and that would be difficult to fix in the main StatsD application.

+ +

b.       If +you don’t want to use StatsAgg’s implementation of StatsD, then you can send +notifications to an instance of the official StatsD application & then have +StatsD output its notifications to StatsAgg (which would receive them as +Graphite notifications).

+ +

2)      +How does StatsAgg’s performance compare to +StatsD?

+ +

a.       In +apples-to-apples performance comparisons of StatsD vs StatsAgg, StatsAgg tends +to be faster by a margin of 25% to 50%. These results may vary by hardware, +StatsAgg JVM options, application configurations, etc.

+ +

b.       The +above StatsD performance benchmark was conducted on a multi-core server. StatsD +is largely a single-threaded application, and it may perform better than +StatsAgg on a single-core server.

+ +

3)      +OpenTSDB listens for notifications on a single +port for the telnet & HTTP formats. StatsAgg listens on two different ports. +Why?

+ +

a.       OpenTSDB +implemented their TCP listener in a non-traditional way. That is to say, it is +uncommon to have a single port listen for two completely different protocols. +Because of the difficulty of implementation, StatsAgg currently listens for +notifications on two different ports. One is a user-defined port for OpenTSDB +HTTP notification input (4243 by default), and the other is a user-defined port +for OpenTSDB telnet notification inputs (4242 by default).

+ +

4)      +"Do I need +to output to Graphite/OpenTSDB/Influx/etc"?

+ +

a.       No. +StatsAgg doesn’t mandate that notifications be output anywhere.

+ +

5)      +"Can I run a multi-server deployment of +StatsAgg?"

+ +

a.       No. +StatsAgg only works in a single-server deployment model. There are no plans to +support a multi-server deployment model in the future.

+ +

b.       Why +not!?

+ +

                                                               +i.      +StatsD Gauge notifications. Gauge notifications +can be directly set, incremented, or decremented – and the order matters. If +the order is mixed up, even slightly, then the value of the Gauge notification +could end up being completely different/wrong. There is no efficient way to +guarantee correct ordering with multiple servers for notifications types like +this (at least not that this author could think of…).

+ +

                                                             +ii.      +Alerting. StatsAgg’s alerting mechanism expects +to be able to quickly assess what notifications are in an alerted state. If +multiple servers had a partial dataset of the notification-values for a +notification-key, then alert criteria couldn’t be properly evaluated.

+ +

                                                           +iii.      +You can always just run multiple StatsAgg +servers that are completely independent from each other.

+ +

6)      +"Performance?"

+ +

a.       StatsAgg’s +author has a day-job of ‘Performance Engineer’, so a lot of effort has gone +into making StatsAgg perform well under heavy-load conditions. To give a +general sense of overall performance, StatsAgg will use…

+ +

·   +around 40% CPU & ~1GB JVM Heap on a 4-core +Intel i5 processor VM (running Windows 2008 R2)…

+ +

·   +… while consuming 100,000 Graphite-Aggregated +notifications per second & a diverse set of 100,000 StatsD notifications +per second. That’s 200,000 notifications per second total…

+ +

·   +… with 50 notification groups & 50 alerts +set (window durations under 5mins).

+ +

If one were to send mostly +Graphite-Passthrough notifications, then StatsAgg could potentially scale to +millions of notifications per second on moderate hardware.

+ +

7)      +StatsAgg uses a lot of CPU after a restart! What +gives?!

+ +

a.       +As a result, after a StatsAgg restart, it is +common to have a period of high CPU utilization while notifications-keys are +re-associated with ‘notification groups’. The time it takes will be proportional +to (#unique-notification-keys * #notification-groups).

+ +

b.       +The ‘heaviness’ of the regular-expressions that +are associated with the ‘notification groups’ also plays a large role in +contributing to the startup time. Try to reduce the complexity of your +‘notification group’ regular-expressions whenever possible.

+ +

8)      +I altered a ‘notification group’ and/or alert +and my alert status changed from triggered->not triggered. Why?

+ +

a.       +Altering a ‘notification group’ is treated as a +complete refresh of everything unique about that ‘notification group’. That +means that all ‘notification group’ associations are reset, and all data points +that were being kept in memory because of their association with the +‘notification group’ were allowed to be cleaned up.

+ +

b.       +Altering an alert mandates a reset of the status +of the alert. If the alert is still in a triggered state after the alteration, +then it will re-alert (complete with a new notification).

+ +

9)      +Is any data lost as it passes through StatsAgg? +Is numeric precision/accuracy maintained?

+ +

a.       +StatsAgg internally stores all +notification-values with full numeric precision intact. Furthermore, StatsAgg +does not use floating-point math operators, so you’ll never have a situation +where the ‘average’ value of a set of notifications is equal to ’74.999999’ +instead of ‘75’.

+ +

·   +The only place where precision may be lost is in +the post-aggregation output of the StatsD & Graphite-Aggregator routines. +Whole numbers always maintain full precision, but the fractional part (the +scale of the number) is limited to 7 decimals. In such a situation, the last +decimal is rounded up.

+ +

10)   +Will StatsAgg ever support receiving +notifications in format ABC?

+ +

a.       +Support for various notification formats will +improve over time. The only criteria is that the notification format must be +open-source & capable of working within the established StatsAgg framework.

+ +

b.       +Feel free to suggest/request support for a +particular notification format.

+ +

11)   +Will StatsAgg ever output to service XYZ?

+ +

a.       +Support for writing to other backends will +likely be built into StatsAgg over time. Possible candidates include: InfluxDB, +MySQL, Mongo, PostgreSQL, Apache Derby. Backends for commercial services are +unlikely to be built into StatsAgg. This is because the author of StatsAgg +doesn’t feel that it is appropriate to selectively implement solutions for +particular closed-sourced (for-profit) companies & technologies.

+ +

9    +Troubleshooting

+ +

1.       +Many errors/issues with StatsAgg will be +captured in StatsAgg log file(s). The main log file is located at +(tomcat-location)/logs/statsagg.log, but you may also find it useful to inspect +other log files (like catalina.out).

+ +

2.       +StatsAgg doesn’t seem to shutdown, or litters +the logs when shutting down.

+ +

a.       +StatsAgg attempts to shutdown gracefully, which +gives each of the threads several seconds to shut down. If these threads don’t +shut down after a certain period of time, they are forcibly terminated. This +may result in errors in the log files, but the errors should be harmless +overall. StatsAgg was built to be resilient to hard crashes.

+ +

3.       +The StatsAgg WebUI homepage says "StatsAgg +is using its default application configuration settings. This occurs when there +was an error loading the 'application.properties' configuration file."

+ +

a.       +As the error suggests, this usually means that +the application.properties file was not created. This discusses how +create/configure the application.properties file. If there was some other type +of error (invalid settings, etc), then odds are good that you will find a more +detail description of the error in the StatsAgg log file.

+ +

4.       +The StatsAgg WebUI homepage says "StatsAgg +is using an ephemeral (in-memory) database. This occurs when there was an error +loading the 'database.properties' configuration file."

+ +

a.       +As the error suggests, this usually means that +the database.properties file was not created and/or improperly configured. This discusses how +create/configure the database.properties file. If there was some other type of +error (invalid settings, etc), then odds are good that you will find a more +detail description of the error in the StatsAgg log file.

+ +

5.       +The StatsAgg WebUI homepage says "StatsAgg +did not successfully connect to the database. Please view the StatsAgg log +files for more details."

+ +

a.       +This most frequently occurs StatsAgg can’t +connect to a MySQL database. This could be because MySQL has crashed, +connectivity was lost (network is down, firewall, etc), MySQL is +overload/unresponsive, etc. You will have to investigate what is wrong with the +StatsAgg ßà +database interaction to solve this problem. Oftentimes the StatsAgg log file is +helpful in these circumstances. The StatsAgg log file is located at: +(tomcat-location)/logs/statsagg.log.

+ +

b.       +Once the issue is discovered/fixed, it is +recommended that StatsAgg be restarted.

+ +

6.       +Alerts/emails/WebUI are out of sync with each +other. What gives?

+ +

a.       +While this behavior is rare, such behavior can +happen when the StatsAgg database becomes unavailable for a period of time. +This is exclusively a MySQL concern. The underlying reason for this behavior is +that the StatsAgg application caches a lot of data to keep performance high. +Cases like this are being identified/fixed, but there may be edge-cases that +could lead to synchronization issues.

+ +

b.       +When such behavior is noticed, restart StatsAgg.

+ +

10             +Known bugs/limitations/etc

+ +

·         +A few StatsD features that are in the main +StatsD program are missing in StatsAgg. Missing features include…

+ +

o   +configuring StatsAgg to be a ‘repeater’ (you can +use the official StatsD program to do this and forward to StatsAgg).

+ +

o   +configuring StatsAgg to be in a ‘proxy cluster’ +configuration (you can use the official StatsD program to do this, and forward +to StatsAgg)

+ +

o   +outputting frequently sent notification-keys to +log files

+ +

·         +StatsAgg is not (currently) meant for use as an +incident management tool. It doesn't support alert history, event management, +etc.

+ +

·         +StatsAgg only supports running in a +single-server configuration. See the FAQs section for more information.

+ +

·         +StatsAgg does not currently support the Graphite +'Pickle' format (may be included in a future build).

+ +

·         +OpenTSDB listens for notifications on a single +port for the telnet & HTTP formats. StatsAgg listens for OpenTSDB +notifications on two different ports. See the FAQs section for more +information.

+ +

·         +The OpenTSDB HTTP interface has full support for +the ‘summary’ parameter, and partial support for the ‘details’ parameter. See +the OpenTSDB documentation for more information.

+ +

o   +The ‘details’ parameter will return accurate +counts for ‘failed’ & ‘success’, but the ‘errors’ field is not currently +being populated.

+ +

·         +Do not run a build of StatsAgg that was compiled +with JDK8 on a JRE7 runtime. For whatever reason (likely a compiler bug), this +will result in broken functionality in StatsAgg.

+ +

11             +About StatsAgg

+ +

Development for StatsAgg started in August 2013 by +Pearson Assessments (a division of Pearson Education). It started as an +internal application that was conceived as an enhanced version of StatsD, and +continued to evolve after the initial design goals were achieved.

+ +

 

+ +

StatsAgg is developed in Java. Java was chosen because it +is cross-platform, well supported, mature, and achieves relatively high +performance.

+ +

 

+ +

StatsAgg’s design was based on the following principles:

+ +

·         +Keep framework usage to an absolute minimum. +Only modular libraries were used (libraries that can easily be swapped out).

+ +

o   No +hibernate, struts, spring, play!, etc

+ +

·         +CPU & Memory usage must linearly scale by +input notification count, notification group count, alerts count, etc. +Exponential usage of CPU or Memory as a factor of any StatsAgg input was +specifically avoided.

+ +

·         +Assume people want LOTS of unique notifications +& want frequent data points for each notification.

+ +

·         +An admin-interface that is intuitive, but +powerful.

+ +

12             +License

+ +

StatsAgg is +released under that Apache 2.0 license.
+http://www.apache.org/licenses/LICENSE-2.0

+ +

13             +Credits

+ +

Lead developer/designer/architect/documenter: Jeffrey +Schmidt

+ +

Associate developer: Prashant Kumar

+ +

WebUI consultants: Pasi Jouhikainen, Adam Parsons, Deepak +Patnam

+ +

Architecture consultations: Pasi Jouhikainen, Adam +Parsons, Michael Anderson

+ +

 

+ +

StatsD: etsy @ https://github.com/etsy/statsd/

+ +

Graphite: Orbitz @ http://graphite.wikidot.com/

+ +

OpenTSDB @ http://opentsdb.net/

+ +

Pearson Assessments, a division of Pearson Education: http://www.pearsonassessments.com/

+ +
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