deploying-kafka-k8s

Deploy Kafka on Kubernetes by installing the Strimzi operator, creating a Kafka cluster manifest with KRaft mode enabled, and applying it via kubectl. Strimzi manages the cluster lifecycle, networking, and storage provisioning automatically.

KRaft mode removes Kafka's dependency on ZooKeeper by using an internal consensus mechanism. For Kubernetes deployments, KRaft simplifies architecture, reduces operational overhead, and improves resource efficiency in containerized environments.

Yes. Strimzi uses Kubernetes Custom Resource Definitions (CRDs) to manage topics declaratively. Define topics as YAML manifests and apply them via kubectl; Strimzi reconciles the desired state automatically.

Deploy Kafka client pods or use kubectl port-forwarding to access the broker. Use the kafka-producer-perf-test and kafka-consumer-perf-test tools to validate end-to-end messaging, or write custom producers and consumers against the cluster endpoint.

Yes. Strimzi handles single-node development clusters for testing and multi-node production setups with replication, persistence, and resource limits. Scale and configure your cluster manifest to match your environment requirements.

You need a running Kubernetes cluster with kubectl access and sufficient RBAC permissions. Strimzi operator requires cluster-admin or custom service account permissions to create and manage Kafka resources and networking policies.