Why Kafka Capacity Planning Is So Challenging?
12 days ago
- #Kafka
- #AutoMQ
- #Capacity Planning
- Kafka capacity planning is challenging due to unpredictable traffic patterns and numerous variables like retention period, message size, and replication factor.
- Teams often over-provision Kafka clusters to avoid outages, leading to high costs, or under-provision, risking performance issues during traffic spikes.
- POIZON, a large social commerce platform, faced hyper-growth and unpredictable traffic, making Kafka capacity planning a constant operational crisis.
- AutoMQ offers a solution by decoupling compute and storage in Kafka, enabling rapid elasticity and self-balancing clusters to handle traffic dynamically.
- AutoMQ's cloud-native approach allows Kafka clusters to scale instantly, eliminating the need for manual capacity planning and reducing operational burdens.