~/talk

Make Your Kafka Cluster Production-Ready

slides:none on file

Kubernetes-hosted Kafka needs explicit choices: use block or local persistent storage not NFS, enable TLS/mTLS and ACLs, and integrate Strimzi’s user operator for auth. Set CPU and JVM memory requests/limits carefully—set requests and limits equal or avoid memory limits—and reserve RAM for OS page cache. Coordinate rolling updates to minimize controller moves and wait for replicas to resync before restarting next broker. Spread brokers across zones with pod topology spread constraints, monitor consumer lag, and use Cruise Control for rebalancing and plan backups.

AI-written summary · about

  1. 0:00Production-ready Kafka clusters
  2. 1:46Infrastructure requirements
  3. 3:09Resource requests for brokers
  4. 5:39Security best practices
  5. 8:07Monitoring Kafka
  6. 9:30Availability and reliability
  7. 12:21Rolling updates and controllers
  8. 13:47Kubernetes zones and broker distribution
  9. 15:35Disruptions and probes
  10. 17:00Disaster recovery and backups
  11. 17:41Performance tuning and JVM
  12. 18:25Noisy neighbors in Kubernetes
  13. 19:26Cluster balancing
  14. 21:13Summary and resources
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