How to deploy Kafka in Kubernetes with Helm chart + kafdrop

Last updated on April 15, 2024

Helm provides a quick way of setting up a Redis cluster using a pre-made Helm chart.

1. Add the Helm repository containing the Kafka chart you wish to install.I will use for this tutorial bitnami repo.

helm repo add bitnami https://charts.bitnami.com/bitnami

2. Update local Helm repositories.

helm repo update

3. Use helm install to install the chart. The basic command is as follows:

helm install my-release bitnami/kafka

In short time kafka chart will be deployed and you will see 2 pods (Kafka and zookeeper) up and running. You can check it with command

kubectl get pods

You should see status Running

You can also specify some additional flags like here, including specific version to install

helm install kafka bitnami/kafka \
               --set controller.replicaCount=3 \
               --set externalAccess.enabled=true \
               --set externalAccess.controller.service.type=NodePort \
               --set externalAccess.controller.service.ports.external=9094 \
               --set externalAccess.autoDiscovery.enabled=true \
               --set serviceAccount.create=true \
               --set rbac.create=true \
               --set listeners.client.protocol=PLAINTEXT \
               --set listeners.controller.protocol=PLAINTEXT \
               --set controller.automountServiceAccountToken=true \
               --set broker.automountServiceAccountToken=true \
               --set topic.autoCreate=true \
               --version 27.1.2"

Now let’s deploy kafdrop – Kafdrop is a UI for monitoring Apache Kafka clusters.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: kafdrop
  labels:
    app: kafdrop
spec:
  replicas: 1
  selector:
    matchLabels:
      app: kafka
  template:
    metadata:
      labels:
        app: kafka
    spec:
      containers:
      - name: kafdrop
        image: obsidiandynamics/kafdrop:latest
        ports:
        - containerPort: 9000
        env:
        - name: KAFKA_BROKERCONNECT
          value: "kafka:9092"

---
apiVersion: v1
kind: Service
metadata:
  name: kafdrop
  labels:
    name: kafdrop
spec:
  ports:
  - port: 9000
    targetPort: 9000
    name: kafdrop
    protocol: TCP
  selector:
    app: kafka
  type: LoadBalancer

Deploy kafdrop with :

kubectl apply -f kafdrop.yaml

Now you can access kafdrop in your browser with http://localhost:9000

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