Production Kafka, end to end

Apache Kafka Operations & Stream Processing Automation

A comprehensive, no-fluff reference for the platform, SRE, and backend engineers who design, deploy, and operate Apache Kafka in production. Configuration-driven guidance, real failure modes, and the automation that keeps clusters healthy under load.

Six in-depth pillars cover the full lifecycle — from cluster architecture and data modeling to delivery semantics, the schema and connect ecosystem, stream processing, and the operations, security, and observability that hold it all together.

Architecture & Provisioning Stream Processing Operations & Security

Production-proven, not theoretical

Every page targets one clear intent — design a component, configure a feature, troubleshoot an issue, or automate an operation — with the CLI commands, configs, and trade-offs to act on it.

Automation & infrastructure-as-code

Terraform, Ansible, Cruise Control, Connect, and CI/CD pipelines over manual console clicks — repeatable operations that scale with your fleet and survive the next incident.

Deep enough to debug

KRaft internals, ISR mechanics, exactly-once semantics, rebalancing protocols, and the JMX metrics that matter — the internals you need when the pager goes off.

Explore the six pillars

Each pillar is a structured guide — start at the overview, then drill into focused how-tos and references.