Jump To Close Expand all Collapse all Table of contents Kafka configuration tuning Making open source more inclusive 1. Kafka tuning overview Expand section "1. Kafka tuning overview" Collapse section "1. Kafka tuning overview" 1.1. Mapping properties and values 1.2. Tools that help with tuning 2. Managed broker configuration 3. Kafka broker configuration tuning Expand section "3. Kafka broker configuration tuning" Collapse section "3. Kafka broker configuration tuning" 3.1. Basic broker configuration 3.2. Replicating topics for high availability 3.3. Internal topic settings for transactions and commits 3.4. Improving request handling throughput by increasing I/O threads 3.5. Increasing bandwidth for high latency connections 3.6. Managing logs with data retention policies 3.7. Removing log data with cleanup policies 3.8. Managing disk utilization 3.9. Handling large message sizes 3.10. Controlling the log flush of message data 3.11. Partition rebalancing for availability 3.12. Unclean leader election 3.13. Avoiding unnecessary consumer group rebalances 4. Kafka consumer configuration tuning Expand section "4. Kafka consumer configuration tuning" Collapse section "4. Kafka consumer configuration tuning" 4.1. Basic consumer configuration 4.2. Scaling data consumption using consumer groups 4.3. Message ordering guarantees 4.4. Optimizing consumers for throughput and latency 4.5. Avoiding data loss or duplication when committing offsets Expand section "4.5. Avoiding data loss or duplication when committing offsets" Collapse section "4.5. Avoiding data loss or duplication when committing offsets" 4.5.1. Controlling transactional messages 4.6. Recovering from failure to avoid data loss 4.7. Managing offset policy 4.8. Minimizing the impact of rebalances 5. Kafka producer configuration tuning Expand section "5. Kafka producer configuration tuning" Collapse section "5. Kafka producer configuration tuning" 5.1. Basic producer configuration 5.2. Data durability 5.3. Ordered delivery 5.4. Reliability guarantees 5.5. Optimizing producers for throughput and latency A. Using your subscription Legal Notice Settings Close Language: 日本語 简体中文 English Language: 日本語 简体中文 English Format: Multi-page Single-page PDF Format: Multi-page Single-page PDF Language and Page Formatting Options Language: 日本語 简体中文 English Language: 日本語 简体中文 English Format: Multi-page Single-page PDF Format: Multi-page Single-page PDF Kafka configuration tuning Red Hat AMQ Streams 2.2Use Kafka configuration properties to optimize the streaming of dataLegal NoticeAbstract Fine-tune the operation of Kafka brokers, producers, and consumers using Kafka configuration properties. Next