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System Design: Caching and Asynchronism

TLDR: Caching stores hot data in fast RAM so you skip slow database round-trips. Asynchronism moves slow tasks (email, video processing) off the critical path via message queues. Together, they turn a blocking, slow system into a responsive, scalable...

Mar 9, 2026•6 min read

How Kafka Works: The Log That Never Forgets

TLDR: Kafka is a distributed event store. Unlike a traditional queue (RabbitMQ) where messages disappear after reading, Kafka stores them in a persistent Log. This allows multiple consumers to read the same data at their own pace, replay history, and...

Mar 9, 2026•6 min read

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