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Service Configuration
Andrew Choi edited this page Dec 3, 2019
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The most flexible way to start Kafka Monitor is to run kafka-monitor-start.sh
with a config file, which allows you to instantiate multiple Service or App that are already implemented in Kafka Monitor and tune their configs to monitor your clusters. See here for an example config file.
In this section we list the configurations of the Service classes that have been implemented in Kafka Monitor. You can also visit the source code for up-to-date configures of each service (e.g. ProduceServiceConfig).
Name | Description | Type | Default | Valid Values | Importance |
---|---|---|---|---|---|
bootstrap.servers | A list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping—this list only impacts the initial hosts used to discover the full set of servers. This list should be in the form host1:port1,host2:port2,... . Since these servers are just used for the initial connection to discover the full cluster membership (which may change dynamically), this list need not contain the full set of servers (you may want more than one, though, in case a server is down). |
string | high | ||
zookeeper.connect | Zookeeper connect string. | string | high | ||
produce.partitioner.class | KMPartitioner class that corresponds to the partitioner used in the target cluster. | class | class com.linkedin.kmf.partitioner.NewKMPartitioner | high | |
topic | Topic to be used by the service. | string | kafka-monitor-topic | medium | |
produce.producer.class | Producer class that will be instantiated as producer in the produce service. It can be NewProducer, or full class name of any class that implements the KMBaseProducer interface. | string | com.linkedin.kmf.producer.NewProducer | low | |
produce.producer.id | Client id that will be used in the record sent by produce service. | string | kmf-producer | low | |
produce.record.delay.ms | The gap in ms between records sent to the same partition by produce service. | int | 100 | low | |
produce.record.size.byte | Size of record in bytes sent by produce service. | int | 100 | low | |
produce.sync | If true, and if this is supported by the producer class, messages are sent synchronously | boolean | true | low | |
produce.thread.num | Number of threads that produce service uses to send records. | int | 5 | [1,...] | low |
Name | Description | Type | Default | Valid Values | Importance |
---|---|---|---|---|---|
bootstrap.servers | A list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping—this list only impacts the initial hosts used to discover the full set of servers. This list should be in the form host1:port1,host2:port2,... . Since these servers are just used for the initial connection to discover the full cluster membership (which may change dynamically), this list need not contain the full set of servers (you may want more than one, though, in case a server is down). |
string | high | ||
zookeeper.connect | Zookeeper connect string. | string | high | ||
consume.latency.sla.ms | The maximum latency of message delivery under SLA. Consume availability is measured as the fraction of messages that are either lost or whose delivery latency exceeds this value | int | 20000 | medium | |
consume.consumer.class | Consumer class that will be instantiated as consumer in the consume service. It can be NewConsumer, OldConsumer, or full class name of any class that implements the KMBaseConsumer interface. | string | com.linkedin.kmf.consumer.NewConsumer | low | |
consume.latency.percentile.granularity.ms | This is used to derive the bucket number used to configure latency percentile metric. The latency at the specified percentile should be multiple of this value. | int | 1 | low | |
consume.latency.percentile.max.ms | This is used to derive the bucket number used to configure latency percentile metric. Any latency larger than this max value will be rounded down to the max value. | int | 5000 | low | |
topic | Topic to be used by the service. | string | kafka-monitor-topic | low |
Name | Description | Type | Default | Valid Values | Importance |
---|---|---|---|---|---|
zookeeper.connect | Zookeeper connect string. | string | high | ||
topic | Topic to be used by the service. | string | kafka-monitor-topic | medium | |
topic-management.partitionsToBrokersRatio | Determines the number of partitions per broker when a topic is created or rebalanced. ceil(nBrokers * partitionsToBrokerRatio) is used to determine the actual number of partitions when partitions are added or removed. | double | 2.0 | [1,...] | low |
topic-management.partitionsToBrokersRatioThreshold | The expected ratio of partitions / brokers. When the actual ratio falls below this threshold new partitions are created. | double | 1.5 | [1.0,...] | low |
topic-management.rebalance.interval.ms | The gap in ms between the times the cluster balance on the monitored topic is checked. Set this to a large value to disable automatic topic rebalance. | int | 600000 | [10,...] | low |
topic-management.replicationFactor | When a topic is created automatically this is the replication factor used. | int | 1 | [1,...] | low |
topic-management.topicCreationEnabled | When true this automatically creates the topic mentioned by "topic" with replication factor "topic-management.replicationFactorand min ISR of max(topic-management.replicationFactor-1, 1) with number of brokers * "topic-management.partitionsToBrokersRatio" partitions. | boolean | true | low | |
topic-management.topicFactory.class.name | The name of the class used to create topics. This class must implement com.linkedin.kmf.topicfactory.TopicFactory. | string | com.linkedin.kmf.topicfactory.DefaultTopicFactory | low |
Name | Description | Type | Default | Valid Values | Importance |
---|---|---|---|---|---|
jetty.port | Port to be used by the Jetty service. | int | 8000 | low |
Name | Description | Type | Default | Valid Values | Importance |
---|---|---|---|---|---|
report.metrics.list | A list of objectName/attributeName pairs used to filter the metrics that will be exported. Only metrics that match any pair in the list will be exported. Each pair is in the form objectName:attributeName
|
list | [kmf.services:*:*] | medium | |
report.interval.sec | The interval in second by which DefaultMetricsReporterService will report the metrics values. | int | 1 | low |
Xinfra Monitor (KMF): https://github.com/linkedin/kafka-monitor/
For inquiries
or issues
: https://github.com/linkedin/kafka-monitor/issues/new