Optimize Amazon EKS workloads for performance and cost

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" summary

Covers open-source tools and approaches for reducing cost and improving performance of Amazon EKS workloads, focusing on Karpenter as a high-performance Kubernetes cluster autoscaler for faster infrastructure provisioning, and Kubernetes-native tools such as Kubecost for cost visibility and optimization of compute and networking.

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" chapters (28)

1. 0:00Intro
2. 1:11Breaking down Amazon EKS workloads costs
3. 2:44Why Kubernetes cost optimization is necessary
4. 4:19Compute efficiency requirements
5. 6:02What if we remove the concept of node groups?
6. 6:56Compute per workload scheduling requirements
7. 8:16Provisioner CRD
8. 9:25AWS Graviton Processors
9. 10:40Automated Multi-Arch Builds
10. 12:16Why run containers on Graviton with Karpenter?
11. 13:20EC2 Spot interruption handling with Karpenter
12. 15:35Pods can be scheduled on existing nodes
13. 16:22Pods can be scheduled on a cheaper node
14. 17:02On demand node can be replaced with spot
15. 18:11Disable consolidation
16. 20:14EKS node viewer
17. 20:45Layers of cost visibility: Multi-tenant clusters
18. 22:01Launch marketplace software with EKS add-ons
19. 23:13Kubecost playground
20. 23:43Kubecost right sizing recommendations
21. 24:06CUDOS (cost intelligence) dashboard
22. 24:53Cost Intelligence Dashboard EKS Insights
23. 25:48Spot placement score (SPS)
24. 27:20Spot placement score tracker
25. 27:51Networking costs
26. 30:30AWS Graviton and Amazon EKS considerations
27. 31:30Introducing Finch
28. 40:24Key takeaways

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