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kafka-pro

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Apache Kafka guidance — topics, partitions, consumer groups, exactly-once semantics, schema registry, and operations.

skills/kafka-pro/SKILL.md

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## Overview

Kafka is a distributed event-streaming platform: producers append immutable events to partitioned topics, consumers read them at their own pace, and the log retains history for replay. It's the backbone of event-driven architectures — but it's infrastructure with real operational weight, not a library you drop in.

Using Kafka well means thinking in events and partitions: partition keys determine ordering and parallelism, consumer groups determine scale, and retention determines what "replay" actually means. This skill covers designing topics, building correct consumers and producers, and operating Kafka without 3am pages.

## When to use

- Designing event-driven architecture (topics, events, partitioning).
- Choosing between Kafka, RabbitMQ, NATS, Pulsar, or a queue.
- Building producers (idempotency, partitioning, batching).
- Building consumers (groups, rebalancing, offset management).
- Implementing exactly-once semantics (transactions, idempotent consumers).
- Setting up Schema Registry and evolving event schemas.
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