Deploy Kafka Cluster in Google Kubernetes Engine (GKE)


KubeDB is the Kubernetes Native Database Management Solution which simplifies and automates routine database tasks such as Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup, Recovery, Failure detection, and Repair for various popular databases on private and public clouds. The databases supported by KubeDB include MongoDB, Elasticsearch, MySQL, MariaDB, Redis, PostgreSQL, Percona XtraDB, and Memcached. Additionally, KubeDB also supports ProxySQL, PgBouncer, and the streaming platform Kafka. You can find the guides to all the supported databases in KubeDB . In this tutorial we will deploy Kafka Cluster in Google Kubernetes Engine (GKE). We will cover the following steps:

  1. Install KubeDB
  2. Deploy Kafka Cluster
  3. Publish & Consume Messages with Kafka

Get Cluster ID

We need the cluster ID to get the KubeDB License. To get cluster ID, we can run the following command:

$ kubectl get ns kube-system -o jsonpath='{.metadata.uid}'

Get License

Go to Appscode License Server to get the license.txt file. For this tutorial we will use KubeDB.

License Server

Install KubeDB

We will use helm to install KubeDB. Please install helm here if it is not already installed. Now, let’s install KubeDB.

$ helm repo add appscode
$ helm repo update

$ helm search repo appscode/kubedb
NAME                              	CHART VERSION	APP VERSION  	DESCRIPTION                                       
appscode/kubedb                   	v2023.12.11  	v2023.12.11  	KubeDB by AppsCode - Production ready databases...
appscode/kubedb-autoscaler        	v0.23.0      	v0.23.0      	KubeDB Autoscaler by AppsCode - Autoscale KubeD...
appscode/kubedb-catalog           	v2023.12.11  	v2023.12.11  	KubeDB Catalog by AppsCode - Catalog for databa...
appscode/kubedb-community         	v0.24.2      	v0.24.2      	KubeDB Community by AppsCode - Community featur...
appscode/kubedb-crds              	v2023.12.11  	v2023.12.11  	KubeDB Custom Resource Definitions                
appscode/kubedb-dashboard         	v0.14.0      	v0.14.0      	KubeDB Dashboard by AppsCode                      
appscode/kubedb-enterprise        	v0.11.2      	v0.11.2      	KubeDB Enterprise by AppsCode - Enterprise feat...
appscode/kubedb-grafana-dashboards	v2023.12.11  	v2023.12.11  	A Helm chart for kubedb-grafana-dashboards by A...
appscode/kubedb-kubestash-catalog 	v2023.12.11  	v2023.12.11  	KubeStash Catalog by AppsCode - Catalog of Kube...
appscode/kubedb-metrics           	v2023.12.11  	v2023.12.11  	KubeDB State Metrics                              
appscode/kubedb-one               	v2023.12.11  	v2023.12.11  	KubeDB and Stash by AppsCode - Production ready...
appscode/kubedb-ops-manager       	v0.25.0      	v0.25.0      	KubeDB Ops Manager by AppsCode - Enterprise fea...
appscode/kubedb-opscenter         	v2023.12.11  	v2023.12.11  	KubeDB Opscenter by AppsCode                      
appscode/kubedb-provider-aws      	v2023.12.11  	v0.0.2       	A Helm chart for KubeDB AWS Provider for Crossp...
appscode/kubedb-provider-azure    	v2023.12.11  	v0.0.2       	A Helm chart for KubeDB Azure Provider for Cros...
appscode/kubedb-provider-gcp      	v2023.12.11  	v0.0.2       	A Helm chart for KubeDB GCP Provider for Crossp...
appscode/kubedb-provisioner       	v0.38.0      	v0.38.1      	KubeDB Provisioner by AppsCode - Community feat...
appscode/kubedb-schema-manager    	v0.14.0      	v0.14.0      	KubeDB Schema Manager by AppsCode                 
appscode/kubedb-ui                	v2023.12.5   	0.6.1-alpha.2	A Helm chart for Kubernetes                       
appscode/kubedb-ui-server         	v2021.12.21  	v2021.12.21  	A Helm chart for kubedb-ui-server by AppsCode     
appscode/kubedb-webhook-server    	v0.14.0      	v0.14.0      	KubeDB Webhook Server by AppsCode  

# Install KubeDB operator chart
$ helm install kubedb oci:// \
  --version v2023.12.11 \
  --namespace kubedb --create-namespace \
  --set-file global.license=/path/to/the/license.txt \
  --wait --burst-limit=10000 --debug

Let’s verify the installation:

$ kubectl get pods --all-namespaces -l ""
NAMESPACE   NAME                                            READY   STATUS    RESTARTS   AGE
kubedb      kubedb-kubedb-autoscaler-86b776dc7-cndqr        1/1     Running   0          5m7s
kubedb      kubedb-kubedb-dashboard-6c7fb4d7c5-6l4s9        1/1     Running   0          5m7s
kubedb      kubedb-kubedb-ops-manager-c4ffbc66f-m5g6k       1/1     Running   0          5m7s
kubedb      kubedb-kubedb-provisioner-7bfb4bdb7b-mmts2      1/1     Running   0          5m7s
kubedb      kubedb-kubedb-webhook-server-7c78b9f747-pqf65   1/1     Running   0          5m7s

We can list the CRD Groups that have been registered by the operator by running the following command:

$ kubectl get crd -l
NAME                                              CREATED AT   2023-12-11T09:22:54Z      2023-12-11T09:22:54Z                        2023-12-11T09:22:54Z           2023-12-11T09:23:02Z          2023-12-11T09:20:43Z                                  2023-12-11T09:23:01Z                   2023-12-11T09:20:44Z                   2023-12-11T09:23:54Z                                 2023-12-11T09:23:11Z                  2023-12-11T09:20:44Z         2023-12-11T09:22:54Z                 2023-12-11T09:23:34Z                               2023-12-11T09:23:02Z                2023-12-11T09:20:44Z                             2023-12-11T09:23:02Z              2023-12-11T09:20:45Z              2023-12-11T09:23:12Z         2023-12-11T09:22:55Z                 2023-12-11T09:23:06Z                               2023-12-11T09:23:04Z                2023-12-11T09:20:45Z           2023-12-11T09:22:55Z                   2023-12-11T09:23:30Z                                 2023-12-11T09:23:05Z                  2023-12-11T09:20:45Z   2023-12-11T09:22:55Z           2023-12-11T09:23:47Z                         2023-12-11T09:23:06Z          2023-12-11T09:20:46Z                             2023-12-11T09:23:07Z              2023-12-11T09:20:46Z             2023-12-11T09:23:15Z        2023-12-11T09:22:55Z                             2023-12-11T09:23:07Z                2023-12-11T09:23:41Z               2023-12-11T09:20:46Z        2023-12-11T09:22:56Z                2023-12-11T09:23:44Z                              2023-12-11T09:23:08Z               2023-12-11T09:20:47Z                    2023-12-11T09:23:57Z           2023-12-11T09:22:56Z                                2023-12-11T09:23:09Z                   2023-12-11T09:23:37Z   2023-12-11T09:22:56Z           2023-12-11T09:23:51Z                         2023-12-11T09:23:10Z                  2023-12-11T09:20:47Z                   2023-12-11T09:24:01Z

Deploy Kafka Cluster

We are going to Deploy Kafka Cluster by using KubeDB. First, let’s create a Namespace in which we will deploy Kafka.

$ kubectl create namespace demo
namespace/demo created

Here is the yaml of the Kafka CR we are going to use:

kind: Kafka
  name: kafka-cluster
  namespace: demo
  replicas: 3
  version: 3.6.0
      - ReadWriteOnce
        storage: 1Gi
    storageClassName: standard
  storageType: Durable
  terminationPolicy: WipeOut

Let’s save this yaml configuration into kafka-cluster.yaml Then create the above Kafka CR

$ kubectl apply -f kafka-cluster.yaml created

In this yaml,

  • spec.version field specifies the version of Kafka. Here, we are using Kafka 3.6.0. You can list the KubeDB supported versions of Kafka by running $ kubectl get kafkaversions command.
  • is the name of the StorageClass used to provision PVCs.
  • spec.terminationPolicy field is Wipeout means it will be deleted without restrictions. It can also be “Halt”, “Delete” and “DoNotTerminate”. Learn More about these checkout Termination Policy .

Once these are handled correctly and the Kafka object is deployed, you will see that the following objects are created:

$ kubectl get all,secret -n demo -l ''
NAME                  READY   STATUS    RESTARTS   AGE
pod/kafka-cluster-0   1/1     Running   0          5m22s
pod/kafka-cluster-1   1/1     Running   0          4m50s
pod/kafka-cluster-2   1/1     Running   0          4m11s

NAME                         TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)                       AGE
service/kafka-cluster-pods   ClusterIP   None         <none>        9092/TCP,9093/TCP,29092/TCP   5m24s

NAME                             READY   AGE
statefulset.apps/kafka-cluster   3/3     5m25s

NAME                                               TYPE               VERSION   AGE   3.6.0     5m25s

NAME                              TYPE                       DATA   AGE
secret/kafka-cluster-admin-cred   2      5m31s
secret/kafka-cluster-config       Opaque                     2      5m31s

Let’s check if the kafka-cluster is ready to use,

$ kubectl get kafka -n demo kafka-cluster
NAME            TYPE                  VERSION   STATUS   AGE
kafka-cluster   3.6.0     Ready    3m48s

We have successfully deployed Kafka cluster in GKE.

Publish & Consume Messages with Kafka

Accessing Kafka Through CLI

In this section, we will now exec into one of the kafka brokers in interactive mode and then describe the broker metadata for the quorum.

$ kubectl exec -it -n demo  kafka-cluster-0 -- bash
kafka@kafka-cluster-0:~$ --command-config $HOME/config/ --bootstrap-server localhost:9092 describe --status
ClusterId:              11ee-a481-4ab0c9c3652w
LeaderId:               0
LeaderEpoch:            7
HighWatermark:          1436
MaxFollowerLag:         0
MaxFollowerLagTimeMs:   0
CurrentVoters:          [0,1,2]
CurrentObservers:       []

We can see the important metadata information like clusterID, current leader ID, broker IDs which are participating in leader election voting and IDs of those brokers who are observers. It is important to mention that each broker is assigned a numeric ID which is called its broker ID. The ID is assigned sequentially with respect to the host pod name.

Create a Topic

Let’s create a topic named music with 3 partitions and a replication factor of 3. Describe the topic once it’s created. You will see the leader ID for each partition and their replica IDs along with in-sync-replicas(ISR).

$ kubectl exec -it -n demo  kafka-cluster-0 -- bash

kafka@kafka-cluster-0:~$ --create  --bootstrap-server localhost:9092 --command-config $HOME/config/ --topic music --partitions 3 --replication-factor 3

Created topic music.

kafka@kafka-cluster-0:~$ --describe --topic music --bootstrap-server localhost:9092 --command-config $HOME/config/

Topic: music	TopicId: 4QTWweCFSxaQmd1L-HERKA	PartitionCount: 3	ReplicationFactor: 3	Configs: segment.bytes=1073741824,
	Topic: music	Partition: 0	Leader: 2	Replicas: 2,0,1	Isr: 2,0,1
	Topic: music	Partition: 1	Leader: 0	Replicas: 0,1,2	Isr: 0,1,2
	Topic: music	Partition: 2	Leader: 1	Replicas: 1,2,0	Isr: 1,2,0

Now, we are going to start a producer and a consumer for topic music. Let’s use this current terminal for producing messages and open a new terminal for consuming messages. From the topic description we can see that the leader partition for partition 1 is 0 (the broker that we are on). If we produce messages to kafka-cluster-0 broker(brokerID=0) it will store those messages in partition 1. Let’s produce messages in the producer terminal and consume them from the consumer terminal.

$ kubectl exec -it -n demo  kafka-cluster-0 -- bash
kafka@kafka-cluster-0:~$  --topic music --request-required-acks all --bootstrap-server localhost:9092 --producer.config $HOME/config/

>Five Hundred Miles
>Annie's Song
>The Nights
$ kubectl exec -it -n demo  kafka-cluster-0 -- bash
kafka@kafka-cluster-0:~$ --topic music --from-beginning --bootstrap-server localhost:9092 --consumer.config $HOME/config/

Five Hundred Miles
Annie's Song
The Nights

Here we can see messages are coming to the consumer as you continue sending messages via producer. So, we have created a Kafka topic and used Kafka console producer and consumer for publishing and consuming messages successfully. More information about Run & Manage Kafka on Kubernetes can be found in Kafka Kubernetes

If you want to learn more about Kafka Ops Requests - Day 2 Lifecycle Management Using KubeDB you can have a look into that video below:


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Learn more about Kafka in Kubernetes

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