Descubra las tendencias de optimización de costos en Kubernetes
summary
Claims an automated Kubernetes optimizer that cuts cloud bill by about 60% cost reduction in a business case and eliminates typical waste from 70% CPU overprovisioning. It combines observability metrics, packing (bin-packing containers), right-sizing CPU/memory, autoscaling and migration to spot instances with automated interruption handling, reporting spot uptime around 70–92% and provider reclaim cycles near 30 minutes. Describes deployments with banks and customers showing these savings and an implemented system that runs in production.
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chapters (8)
- 0:00Kubernetes cost optimization intro
- 3:20Cloud overprovisioning problems
- 6:43Spot instances strategies
- 10:16Handling Spot interruptions
- 13:53Autoscaling resources in production
- 17:42Observability for optimization
- 20:36Success cases and ROI
- 23:32Final recommendations
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