Kafka can handle enormous event volumes, but achieving consistent production performance requires tuning the complete pipeline—not just a single configuration property.
My latest guide covers:
Producer batching, linger.ms, compression and acknowledgements
Consumer fetch settings and lag optimization
Partition planning and consumer parallelism
Broker disk, network and thread considerations
Replication and durability
Throughput vs latency trade-offs
Kafka monitoring metrics
A practical production tuning checklist
The core approach:
Measure → Identify Bottleneck → Tune → Benchmark → Monitor
Full technical guide:
https://shikhanirankari.blogspot.com/2026/08/kafka-performance-tuning-guide.html
French version:
https://shikhanirankari.blogspot.com/2026/08/optimisation-performance-kafka.html
