S7E14 | Apache Kafka Data Lifecycle: Retention Policies & Log Compaction Explained
Description
In this episode of PithorAcademy Presents: Deep Dive, we explore Kafka’s Data Lifecycle, focusing on how retention and log compaction manage stored events in Apache Kafka. Kafka isn’t just a queue—it’s also a distributed log, and understanding how data is kept or removed is key to building reliable systems.
We cover:
Retention Policies – controlling how long Kafka stores data
Log Compaction – retaining the latest state of each key
Kafka as a Queue vs a Log – why lifecycle management matters
By the end, you’ll understand how Kafka balances storage efficiency, reliability, and stateful processing—making it powerful for streaming platforms like Uber, Netflix, and LinkedIn.
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