Deploy Kafka Cluster in Amazon Elastic Kubernetes Service (Amazon EKS)


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 Amazon Elastic Kubernetes Service (Amazon EKS). 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 search repo appscode/kubedb
NAME                              	CHART VERSION	APP VERSION	DESCRIPTION                                       
appscode/kubedb                   	v2023.12.28  	v2023.12.28	KubeDB by AppsCode - Production ready databases...
appscode/kubedb-autoscaler        	v0.25.0      	v0.25.0    	KubeDB Autoscaler by AppsCode - Autoscale KubeD...
appscode/kubedb-catalog           	v2023.12.28  	v2023.12.28	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              	v2023.12.28  	v2023.12.28	KubeDB Custom Resource Definitions                
appscode/kubedb-dashboard         	v0.16.0      	v0.16.0    	KubeDB Dashboard by AppsCode                      
appscode/kubedb-enterprise        	v0.11.2      	v0.11.2    	KubeDB Enterprise by AppsCode - Enterprise feat...
appscode/kubedb-grafana-dashboards	v2023.12.28  	v2023.12.28	A Helm chart for kubedb-grafana-dashboards by A...
appscode/kubedb-kubestash-catalog 	v2023.12.28  	v2023.12.28	KubeStash Catalog by AppsCode - Catalog of Kube...
appscode/kubedb-metrics           	v2023.12.28  	v2023.12.28	KubeDB State Metrics                              
appscode/kubedb-one               	v2023.12.28  	v2023.12.28	KubeDB and Stash by AppsCode - Production ready...
appscode/kubedb-ops-manager       	v0.27.0      	v0.27.0    	KubeDB Ops Manager by AppsCode - Enterprise fea...
appscode/kubedb-opscenter         	v2023.12.28  	v2023.12.28	KubeDB Opscenter by AppsCode                      
appscode/kubedb-provider-aws      	v2023.12.28  	v0.2.0     	A Helm chart for KubeDB AWS Provider for Crossp...
appscode/kubedb-provider-azure    	v2023.12.28  	v0.2.0     	A Helm chart for KubeDB Azure Provider for Cros...
appscode/kubedb-provider-gcp      	v2023.12.28  	v0.2.0     	A Helm chart for KubeDB GCP Provider for Crossp...
appscode/kubedb-provisioner       	v0.40.0      	v0.40.0    	KubeDB Provisioner by AppsCode - Community feat...
appscode/kubedb-schema-manager    	v0.16.0      	v0.16.0    	KubeDB Schema Manager by AppsCode                 
appscode/kubedb-ui                	v2023.12.20  	0.6.1      	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    	v0.16.0      	v0.16.0    	KubeDB Webhook Server by AppsCode   

$ helm install kubedb oci:// \
  --version v2023.12.28 \
  --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-6b4c89dbf9-9gwm4       1/1     Running   0               3m26s
kubedb      kubedb-kubedb-dashboard-5b6f5598d9-jf5tl        1/1     Running   0               3m26s
kubedb      kubedb-kubedb-ops-manager-747cf9796d-9dhvz      1/1     Running   0               3m26s
kubedb      kubedb-kubedb-provisioner-c9db4cc89-xfl8b       1/1     Running   0               3m26s
kubedb      kubedb-kubedb-webhook-server-748d599596-jf64t   1/1     Running   0               3m26s

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   2024-04-15T05:21:05Z      2024-04-15T05:21:03Z                        2024-04-15T05:21:03Z           2024-04-15T05:21:17Z          2024-04-15T05:19:17Z                                  2024-04-15T05:21:06Z                   2024-04-15T05:19:18Z                   2024-04-15T05:22:17Z                                 2024-04-15T05:21:22Z                  2024-04-15T05:19:18Z         2024-04-15T05:21:05Z                 2024-04-15T05:21:52Z                               2024-04-15T05:21:11Z                2024-04-15T05:19:18Z                             2024-04-15T05:21:12Z              2024-04-15T05:19:19Z              2024-04-15T05:21:24Z         2024-04-15T05:21:11Z                 2024-04-15T05:21:21Z                               2024-04-15T05:21:13Z                2024-04-15T05:19:19Z                2024-04-15T05:21:28Z           2024-04-15T05:21:11Z                   2024-04-15T05:21:47Z                                 2024-04-15T05:21:16Z                  2024-04-15T05:19:19Z   2024-04-15T05:21:11Z           2024-04-15T05:22:08Z                         2024-04-15T05:21:17Z          2024-04-15T05:19:20Z                             2024-04-15T05:21:18Z              2024-04-15T05:19:20Z             2024-04-15T05:21:31Z        2024-04-15T05:21:12Z                             2024-04-15T05:21:19Z                2024-04-15T05:22:01Z               2024-04-15T05:19:20Z        2024-04-15T05:21:12Z                2024-04-15T05:22:04Z                              2024-04-15T05:21:19Z               2024-04-15T05:19:21Z                    2024-04-15T05:22:20Z           2024-04-15T05:21:13Z                                2024-04-15T05:21:20Z                   2024-04-15T05:21:55Z   2024-04-15T05:21:13Z           2024-04-15T05:22:12Z                         2024-04-15T05:21:21Z                  2024-04-15T05:19:21Z                   2024-04-15T05:22:24Z

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: gp2
  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          4m22s
pod/kafka-cluster-1   1/1     Running   0          3m41s
pod/kafka-cluster-2   1/1     Running   0          3m11s

NAME                         TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)                       AGE
service/kafka-cluster-pods   ClusterIP   None         <none>        9092/TCP,9093/TCP,29092/TCP   4m22s

NAME                             READY   AGE
statefulset.apps/kafka-cluster   3/3     4m22s

NAME                                               TYPE               VERSION   AGE   3.6.0     4m22s

NAME                              TYPE                       DATA   AGE
secret/kafka-cluster-admin-cred   2      4m22s
secret/kafka-cluster-config       Opaque                     2      4m22s

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    4m12s

We have successfully deployed Kafka cluster in AWS.

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:              11eg-c581-4ab087e3652w
LeaderId:               0
LeaderEpoch:            73
HighWatermark:          12566
MaxFollowerLag:         0
MaxFollowerLagTimeMs:   0
CurrentVoters:          [0,1,2]
CurrentObservers:       []

We can see the important metadata information like clusterID, current leader ID, node 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 and --request-required-acks all ensures that the message is durably stored on all replicas before the producer considers the message sent. 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/

>Country Roads
>The Nights
>Show Me The Meaning
$ 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/

Country Roads
The Nights
Show Me The Meaning

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 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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