The document discusses building and running reliable, scalable Kubernetes applications on AWS using Applatix, which simplifies cloud integration through infrastructure automation and DevOps workflows. It highlights various challenges such as out-of-memory (OOM) kills, AWS limits, volume issues, and emphasizes the importance of autoscaling groups and monitoring for maintaining cloud hygiene. Overall, the focus is on enhancing reliability and scalability in Kubernetes deployments.

1. Reliable, scalable
Kubernetes on AWS
Shri Javadekar
@shrinandj

2. About Applatix
• Build and run containerized apps in the public cloud
▪ Solution built on top of Kubernetes
• Simplify the journey to cloud with:
▪ Infrastructure automation
▪ Container-based devops workflows
▪ Monitoring, audit and governance

3. Applatix Playground

4. Outline
• OOM kills!!!
• AWS has limits
• Volume issues
• Cloud hygiene
• AutoScalingGroups (ASGs) are your friend

5. • OOM Kills
▪ Etcd
In memory data
Data snapshots stored to disk after fixed record count
▪ Can affect other processes (api-server, kube-
controller manager, etc.).
▪ Tuned the --snapshot-count parameter
Reliability

6. Reliability

7. Reliability

8. * under development
Reliability

9. Reliability

10. Scalability

11. Scalability

12. Scalability

13. Summary

14. Thank You