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--- | ||
title: Monitor Druid with Prometheus & Grafana | ||
menu: | ||
docs_{{ .version }}: | ||
identifier: guides-druid-monitoring | ||
name: Monitoring | ||
parent: guides-druid | ||
weight: 50 | ||
menu_name: docs_{{ .version }} | ||
--- |
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--- | ||
title: Druid Monitoring Overview | ||
description: Druid Monitoring Overview | ||
menu: | ||
docs_{{ .version }}: | ||
identifier: guides-druid-monitoring-guide | ||
name: Overview | ||
parent: guides-druid-monitoring | ||
weight: 10 | ||
menu_name: docs_{{ .version }} | ||
section_menu_id: guides | ||
--- | ||
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> New to KubeDB? Please start [here](/docs/README.md). | ||
# Monitoring Apache Druid with KubeDB | ||
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KubeDB has native support for monitoring via [Prometheus](https://prometheus.io/). You can use builtin [Prometheus](https://github.com/prometheus/prometheus) scraper or [Prometheus operator](https://github.com/prometheus-operator/prometheus-operator) to monitor KubeDB managed databases. This tutorial will show you how database monitoring works with KubeDB and how to configure Database crd to enable monitoring. | ||
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## Overview | ||
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KubeDB uses Prometheus [exporter](https://prometheus.io/docs/instrumenting/exporters/#databases) images to export Prometheus metrics for respective databases. As KubeDB supports Druid versions in KRaft mode, and the officially recognized exporter image doesn't expose metrics for them yet - KubeDB managed Druid instances use [JMX Exporter](https://github.com/prometheus/jmx_exporter) instead. This exporter is intended to be run as a Java Agent inside Druid container, exposing a HTTP server and serving metrics of the local JVM. To Following diagram shows the logical flow of database monitoring with KubeDB. | ||
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<p align="center"> | ||
<img alt="Database Monitoring Flow" src="/docs/guides/druid/monitoring/images/druid-monitoring.png"> | ||
</p> | ||
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When a user creates a Druid crd with `spec.monitor` section configured, KubeDB operator provisions the respective Druid cluster while running the exporter as a Java agent inside the druid containers. It also creates a dedicated stats service with name `{database-crd-name}-stats` for monitoring. Prometheus server can scrape metrics using this stats service. | ||
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## Configure Monitoring | ||
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In order to enable monitoring for a database, you have to configure `spec.monitor` section. KubeDB provides following options to configure `spec.monitor` section: | ||
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| Field | Type | Uses | | ||
|----------------------------------------------------|------------|-----------------------------------------------------------------------------------------------------------------------------------------| | ||
| `spec.monitor.agent` | `Required` | Type of the monitoring agent that will be used to monitor this database. It can be `prometheus.io/builtin` or `prometheus.io/operator`. | | ||
| `spec.monitor.prometheus.exporter.port` | `Optional` | Port number where the exporter side car will serve metrics. | | ||
| `spec.monitor.prometheus.exporter.args` | `Optional` | Arguments to pass to the exporter sidecar. | | ||
| `spec.monitor.prometheus.exporter.env` | `Optional` | List of environment variables to set in the exporter sidecar container. | | ||
| `spec.monitor.prometheus.exporter.resources` | `Optional` | Resources required by exporter sidecar container. | | ||
| `spec.monitor.prometheus.exporter.securityContext` | `Optional` | Security options the exporter should run with. | | ||
| `spec.monitor.prometheus.serviceMonitor.labels` | `Optional` | Labels for `ServiceMonitor` crd. | | ||
| `spec.monitor.prometheus.serviceMonitor.interval` | `Optional` | Interval at which metrics should be scraped. | | ||
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## Sample Configuration | ||
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A sample YAML for TLS secured Druid crd with `spec.monitor` section configured to enable monitoring with [Prometheus operator](https://github.com/prometheus-operator/prometheus-operator) is shown below. | ||
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```yaml | ||
apiVersion: kubedb.com/v1alpha2 | ||
kind: Druid | ||
metadata: | ||
name: druid-with-monitoring | ||
namespace: demo | ||
spec: | ||
version: 28.0.1 | ||
deepStorage: | ||
type: s3 | ||
configSecret: | ||
name: deep-storage-config | ||
topology: | ||
routers: | ||
replicas: 1 | ||
monitor: | ||
agent: prometheus.io/operator | ||
prometheus: | ||
serviceMonitor: | ||
labels: | ||
release: prometheus | ||
interval: 10s | ||
deletionPolicy: WipeOut | ||
``` | ||
### Create External Dependency (Deep Storage) | ||
Before proceeding further, we need to prepare deep storage, which is one of the external dependency of Druid and used for storing the segments. It is a storage mechanism that Apache Druid does not provide. **Amazon S3**, **Google Cloud Storage**, or **Azure Blob Storage**, **S3-compatible storage** (like **Minio**), or **HDFS** are generally convenient options for deep storage. | ||
In this tutorial, we will run a `minio-server` as deep storage in our local `kind` cluster using `minio-operator` and create a bucket named `druid` in it, which the deployed druid database will use. | ||
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```bash | ||
$ helm repo add minio https://operator.min.io/ | ||
$ helm repo update minio | ||
$ helm upgrade --install --namespace "minio-operator" --create-namespace "minio-operator" minio/operator --set operator.replicaCount=1 | ||
$ helm upgrade --install --namespace "demo" --create-namespace druid-minio minio/tenant \ | ||
--set tenant.pools[0].servers=1 \ | ||
--set tenant.pools[0].volumesPerServer=1 \ | ||
--set tenant.pools[0].size=1Gi \ | ||
--set tenant.certificate.requestAutoCert=false \ | ||
--set tenant.buckets[0].name="druid" \ | ||
--set tenant.pools[0].name="default" | ||
``` | ||
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Now we need to create a `Secret` named `deep-storage-config`. It contains the necessary connection information using which the druid database will connect to the deep storage. | ||
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```yaml | ||
apiVersion: v1 | ||
kind: Secret | ||
metadata: | ||
name: deep-storage-config | ||
namespace: demo | ||
stringData: | ||
druid.storage.type: "s3" | ||
druid.storage.bucket: "druid" | ||
druid.storage.baseKey: "druid/segments" | ||
druid.s3.accessKey: "minio" | ||
druid.s3.secretKey: "minio123" | ||
druid.s3.protocol: "http" | ||
druid.s3.enablePathStyleAccess: "true" | ||
druid.s3.endpoint.signingRegion: "us-east-1" | ||
druid.s3.endpoint.url: "http://myminio-hl.demo.svc.cluster.local:9000/" | ||
``` | ||
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Let’s create the `deep-storage-config` Secret shown above: | ||
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```bash | ||
$ kubectl create -f https://github.com/kubedb/docs/raw/{{< param "info.version" >}}/docs/guides/druid/monitoring/yamls/deep-storage-config.yaml | ||
secret/deep-storage-config created | ||
``` | ||
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Let's deploy the above druid example by the following command: | ||
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```bash | ||
$ kubectl create -f https://github.com/kubedb/docs/raw/{{< param "info.version" >}}/docs/guides/druid/monitoring/yamls/druid-with-monitoring.yaml | ||
druid.kubedb.com/druid created | ||
``` | ||
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Here, we have specified that we are going to monitor this server using Prometheus operator through `spec.monitor.agent: prometheus.io/operator`. KubeDB will create a `ServiceMonitor` crd in databases namespace and this `ServiceMonitor` will have `release: prometheus` label. | ||
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## Next Steps | ||
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- Learn how to use KubeDB to run a Apache Druid cluster [here](/docs/guides/druid/README.md). | ||
- Deploy [dedicated topology cluster](/docs/guides/druid/clustering/topology-cluster/index.md) for Apache Druid | ||
- Deploy [combined cluster](/docs/guides/druid/clustering/combined-cluster/index.md) for Apache Druid | ||
- Detail concepts of [DruidVersion object](/docs/guides/druid/concepts/druidversion.md). | ||
- Learn to use KubeDB managed Druid objects using [CLIs](/docs/guides/druid/cli/cli.md). | ||
- Want to hack on KubeDB? Check our [contribution guidelines](/docs/CONTRIBUTING.md). |
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