Capacity Planning: Partitions and Replication
Learn how to size topics with the right number of partitions and replication factor to balance throughput, parallelism, durability, and operational cost.
Why Sizing Matters
Partition count and replication factor are hard to change after launch and directly shape throughput, parallelism, and durability. Good capacity planning avoids painful migrations later.
Partitions Drive Parallelism
A consumer group can have at most as many active consumers as there are partitions. More partitions allow more parallel consumers and higher throughput.
All lessons in this course
- Performance Tuning Tips for Kafka
- Idempotent Producers and Consumers
- Deploying Spring Boot Kafka Apps to Cloud
- Capacity Planning: Partitions and Replication