Handling Backpressure with Kafka and Throttling Techniques
Handling Backpressure with Kafka and Throttling Techniques

Handling Backpressure with Kafka and Throttling Techniques

Author
Shiv Bade
Tags
kafka
backpressure
rate limiting
Published
October 12, 2015
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Our message processing system needed to deal with backpressure gracefully — without dropping critical messages or overloading downstream systems.
Techniques used: - Consumer rate limiting using pause/resume - Monitoring lag and adjusting consumer thread pools - Integrating circuit breakers for downstream APIs
Sample code:
if (tooMuchLag()) { consumer.pause(partitions); }
Backpressure isn’t failure — it’s feedback. Design for it.