Can I use this for enterprise Confluent deployments?

Absolutely. This skill includes implementation patterns for Confluent for Kubernetes (CFK), helping you manage the full Confluent Platform ecosystem.

Does this skill support Kafka without ZooKeeper?

Yes, it provides detailed guidance and configuration templates for running Kafka in KRaft mode (Kafka 3.6+), which eliminates the need for a separate ZooKeeper ensemble.

How does it handle Kafka data persistence?

The skill guides you through configuring Persistent Volume Claims (PVCs) using SSD-backed storage classes and anti-affinity rules to ensure data durability across availability zones.

What is the recommended way to run Kafka on Kubernetes?

The Strimzi Operator is the recommended approach for most production use cases as it is a CNCF project specifically designed for running Kafka on K8s with robust declarative management.

Kafka on Kubernetes Expert

Name: Kafka on Kubernetes Expert
Author: anton-abyzov

byanton-abyzov

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Despliegue y DevOps

Deploys and manages production-grade Apache Kafka clusters on Kubernetes using Strimzi, Confluent operators, and Helm charts.

Acerca de

This skill provides comprehensive expert guidance for architecting and deploying Apache Kafka on Kubernetes clusters. It assists developers and SREs in selecting the right operator—such as Strimzi or Confluent—while implementing production best practices for storage, high availability, and security. From configuring KRaft mode for ZooKeeper-less clusters to managing topics and users declaratively via CRDs, this skill ensures your event-streaming infrastructure is scalable, resilient, and optimized for performance.

Características Principales

High availability setup using Pod Disruption Budgets and Anti-Affinity
13 GitHub stars
Production-optimized storage patterns and resource allocation
Declarative management of Kafka clusters, topics, and users via CRDs
Advanced security implementation including TLS, ACLs, and Network Policies
Automated Strimzi and Confluent Operator configuration guidance

Casos de Uso

Implementing a GitOps workflow for event-driven infrastructure management
Provisioning production-ready Kafka clusters with KRaft mode on EKS, GKE, or AKS
Optimizing existing Kubernetes Kafka deployments for performance and reliability

Acerca de

Características Principales

High availability setup using Pod Disruption Budgets and Anti-Affinity
13 GitHub stars
Production-optimized storage patterns and resource allocation
Declarative management of Kafka clusters, topics, and users via CRDs
Advanced security implementation including TLS, ACLs, and Network Policies
Automated Strimzi and Confluent Operator configuration guidance

Casos de Uso

Implementing a GitOps workflow for event-driven infrastructure management
Provisioning production-ready Kafka clusters with KRaft mode on EKS, GKE, or AKS
Optimizing existing Kubernetes Kafka deployments for performance and reliability