Grokking the System Design Interview, Volume II
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Summary: Kafka

This chapter covered many topics: how Kafka stores and moves data, and how it stays available when a broker fails. It also covered how consumers get the delivery guarantees they ask for. Here is all of it in one place, plus the design patterns worth remembering on their own.

Summary

Fifteen facts summarize everything this chapter covered:

  1. Kafka provides low-latency, high-throughput, fault-tolerant publish and subscribe pipelines and can process huge, continuous streams of events.
  2. Kafka can function both as a message queue and a publisher-subscriber system. 3

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