⚡ Performance Guide
Optimize Kafka Throughput & Latency
Complete guide to maximizing Apache Kafka performance through producer optimization, consumer tuning, broker configuration, and network settings for high-throughput, low-latency applications.
Critical Performance Optimization Areas
Focus on these key areas to achieve maximum Kafka performance.
Producer Optimization
Optimize batching, compression, and acks settings for maximum throughput.
Consumer Tuning
Configure fetch sizes, session timeouts, and parallel processing for optimal consumption.
Broker Configuration
Tune broker settings, disk I/O, and memory allocation for high performance.
Step-by-Step Performance Optimization
Practical optimization strategies with measurable performance improvements.
Producer Performance Tuning
Batch Configuration
batch.size=32768
linger.ms=10
buffer.memory=67108864Compression Settings
compression.type=lz4
acks=1
retries=2147483647Consumer Optimization
Fetch Configuration
fetch.min.bytes=50000
fetch.max.wait.ms=500
max.partition.fetch.bytes=1048576Session Management
session.timeout.ms=30000
heartbeat.interval.ms=3000
max.poll.records=500Key Performance Metrics to Monitor
Track these metrics to measure optimization effectiveness.
Throughput Metrics
Messages/sec100K+
MB/sec500+
Batch Size Avg16KB
Latency Metrics
Producer Latency p99<10ms
Consumer Lag<100ms
End-to-End Latency<50ms
Monitor Performance with KLogic
Track your optimization progress with comprehensive performance monitoring and alerting.