Optimizing TCO of K8s clusters on AWS and YC
summary
Describes how Antiplagiat reduced Kubernetes TCO on AWS and Yandex Cloud by using autoscaling to handle highly variable daily and seasonal traffic (up to 10x differences between peaks). Covers their Kubernetes setup, autoscaling strategies and operational practices that enabled significant cost savings.
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chapters (16)
- 0:00Introduction
- 3:57Workload scale and seasonality
- 8:10Infrastructure cost structure
- 9:17Spot instances usage
- 12:02Managed Kubernetes issues
- 13:25Cluster scaling optimization
- 15:52HPA and VPA tuning
- 17:20Disk and image optimization
- 20:53Traffic problems and solutions
- 24:06HTTP compression and monitoring
- 25:10Log storage and OpenSearch
- 26:13Efficiency dashboards and shame board
- 27:16Service requirement changes
- 28:43Large file handling and optimization
- 29:46Optimization recommendations and results
- 31:09Q&A
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