This is Helm Chart for deploying Confluent Open Source on Kubernetes, which include:
- Confluent Kafka
- Confluent Zookeeper
- Confluent Schema Registry
- Confluent Kafka REST Proxy
- Confluent Kafka Connect
- Kubernetes 1.9.2+
- Helm 2.8.2+
- Confluent Platform Open Source Docker Images 4.1.1
Different options of creating a Kubernetes Cluster:
- Minikube, https://github.com/kubernetes/minikube.
- Google Kubernetes Engine, https://cloud.google.com/kubernetes-engine/docs/quickstart.
Follow Helm's quickstart to install and deploy Helm to the k8s cluster.
Run helm ls
to verify the local installation.
NOTE: For Helm versions prior to 2.9.1, you may see "connect: connection refused"
, and will need to fix up the deployment before proceeding.
# Fix up the Helm deployment, if needed:
kubectl delete --namespace kube-system svc tiller-deploy
kubectl delete --namespace kube-system deploy tiller-deploy
kubectl create serviceaccount --namespace kube-system tiller
kubectl create clusterrolebinding tiller-cluster-rule --clusterrole=cluster-admin --serviceaccount=kube-system:tiller
kubectl patch deploy --namespace kube-system tiller-deploy -p '{"spec":{"template":{"spec":{"serviceAccount":"tiller"}}}}'
helm init --service-account tiller --upgrade
git clone https://github.com/confluentinc/cp-helm-charts.git
- The steps below will install a 3 node cp-zookeeper, a 3 node cp-kafka cluster,1 schema registry,1 rest proxy and 1 kafka connect in your k8s env.
helm install cp-helm-charts
- To install with a specific name, you can do:
$ helm install --name my-confluent-oss cp-helm-charts
- To install without rest proxy, schema registry and kafka connect
helm install --set cp-schema-registry.enabled=false,cp-kafka-rest.enabled=false,cp-kafka-connect.enabled=false cp-helm-charts/
helm test <release name>
will run the embedded test pod in each sub-chart to verify installations
- Deploy a zookeeper client pod
kubectl apply -f cp-helm-charts/examples/zookeeper-client.yaml
- Log into the Pod
kubectl exec -it zookeeper-client -- /bin/bash
- Use zookeeper-shell to connect in the zookeeper-client Pod:
zookeeper-shell <zookeeper service>:<port>
- Explore with zookeeper commands, for example:
# Gives the list of active brokers ls /brokers/ids # Gives the list of topics ls /brokers/topics # Gives more detailed information of the broker id '0' get /brokers/ids/0
- Deploy a kafka client pod
kubectl apply -f cp-helm-charts/examples/kafka-client.yaml
- Log into the Pod
kubectl exec -it kafka-client -- /bin/bash
- Explore with kafka commands:
## Setup export RELEASE_NAME=<release name> export ZOOKEEPERS=${RELEASE_NAME}-cp-zookeeper:2181 export KAFKAS=${RELEASE_NAME}-cp-kafka-headless:9092 ## Create Topic kafka-topics --zookeeper $ZOOKEEPERS --create --topic test-rep-one --partitions 6 --replication-factor 1 ## Producer kafka-run-class org.apache.kafka.tools.ProducerPerformance --print-metrics --topic test-rep-one --num-records 6000000 --throughput 100000 --record-size 100 --producer-props bootstrap.servers=$KAFKAS buffer.memory=67108864 batch.size=8196 ## Consumer kafka-consumer-perf-test --broker-list $KAFKAS --messages 6000000 --threads 1 --topic test-rep-one --print-metrics
helm ls # to check find out release name
helm delete <release name>
# delete all pvc created by this release
kubectl delete pvc --selector=release=<release name>
NOTE: All Scale In/Out operations should be done offline with no producer/consumer connection
Install co-helm-charts with default 3 nodes zookeeper ensemble
helm install cp-helm-charts
Scale zookeeper nodes out to 5, change servers
under cp-zookeeper
to 5 in values.yaml
helm upgrade <release name> cp-helm-charts
Scale zookeeper nodes out to 5, change servers
under cp-zookeeper
to 3 in values.yaml
helm upgrade <release name> cp-helm-charts
NOTE: Scaling in/out Kafka brokers without doing Partition Reassignment will cause data loss!!
Be sure to reassign partitions correctly before scaling in/out Kafka cluster. Please refer: https://kafka.apache.org/documentation/#basic_ops_cluster_expansion
Install co-helm-charts with default 3 brokers kafka cluster
helm install cp-helm-charts
Scale kafka brokers out to 5, change brokers
under cp-kafka
to 5 in values.yaml
helm upgrade <release name> cp-helm-charts
Scale kafka brokers out to 5, change brokers
under cp-kafka
to 3 in values.yaml
helm upgrade <release name> cp-helm-charts
JMX Metrics are enabled by default for all components, Prometheus JMX Exporter is installed as a sidecar container along with all Pods.
-
Install Prometheus and Grafana in same Kubernetes cluster using helm
helm install stable/prometheus helm install stable/grafana
-
Add Prometheus as Data Source in Grafana, url should be something like:
http://illmannered-marmot-prometheus-server:80
-
Import dashboard under grafana-dashboard into Grafana
Huge thanks to: