Scalable and reliable kubernetes on aws
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This document summarizes a presentation about running Kubernetes reliably and at scale on AWS. It discusses some common issues like out of memory kills affecting Etcd and other Kubernetes processes. It also covers AWS resource limits and volume issues that need to be addressed for cloud hygiene. The presentation recommends using auto scaling groups to scale infrastructure and introduces Applatix as a platform to build and run containerized apps on Kubernetes in the cloud with automation and devops workflows for monitoring, auditing and governance.
Scalable and reliable kubernetes on aws
- 1. Reliable, scalable Kubernetes on AWS Shri Javadekar (@shrinandj) Abhinav Das VOIP or Dial-in (see chat) Questions? Send via the GTW ‘questions’ chat
- 2. We have about 40 minutes of content but more time for questions We will post slides today and email a video by Monday Send any questions on the GTM chat If audio fails, let us know on chat! We will re-dial in quickly… Apologies for the train that goes by at about :24 minute mark But first, some quick housekeeping June 2, 2017 2
- 3. Who are we? Abhinav Das June 2, 2017 3 Shri Javadekar
- 4. About Applatix • Platform to build and run containerized apps in cloud. ▪ Built on Kubernetes • Simplify the journey to cloud with: ▪ Infrastructure automation ▪ End to end devops workflows ▪ Monitoring, audit and governance
- 5. Outline ● OOM kills!!! ● AWS has limits ● Volume issues ● Cloud hygiene ● AutoScalingGroups (ASGs) are your friend
- 6. • 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
- 7. Reliability
- 8. Reliability
- 10. Reliability
- 11. Scalability
- 12. Scalability
- 13. Scalability
- 14. Applatix cluster
- 16. Summary
- 17. Thank You!