Apache Kafka / Basic: records, partitions and reader progress

Apache Kafka β€” Basic: records, partitions and reader progress

Model Kafka records, ordering, acknowledgment and retained history.

6 lessons Β· No account required

What you will learn

  • Explain event identity, KRaft roles and partition scope.
  • Interpret producer completion, groups, commits and cleanup policies.

  1. Events, topics and the KRaft architecture

    Locate an event inside Kafka and separate record storage, client behavior and cluster metadata.

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  2. Partitions, keys and ordering

    Design the scope of ordering and see how partition count changes affect routing assumptions.

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  3. Producers, batching and acknowledgments

    Interpret producer completion and tune a bounded latency-throughput tradeoff without inventing durability guarantees.

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  4. Consumer groups and polling

    Use independent groups and bounded polling while keeping assignment and processing responsibilities clear.

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  5. Offsets, commits and replay

    Record the next safe position and reason through crashes before resetting any reader.

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  6. Retention, compaction and tombstones

    Choose between bounded history and keyed-state recovery while respecting asynchronous cleanup.

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