AI Rightsizing for Kubernetes: Start with the Boring Baseline
Before you trust ML to resize pods, fix your signals, budgets, and guardrails. Otherwise AI just automates bad guesses.
Open-source cost allocation for engineering teams.
Map AWS spend to pods, namespaces, and teams in real-time.
No heavy dependencies • MIT Licensed • View on GitHub
AWS tags aren't enough. ClusterCost correlates billing data with Kubernetes events to show you exactly which deployment, service, or cronjob caused that spike.
Written in Go. Uses minimal CPU/RAM. No heavy Prometheus dependency required.
Your billing data never leaves your cluster unless you explicitly export it.
The agent and local dashboard are MIT licensed and free forever.
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Before you trust ML to resize pods, fix your signals, budgets, and guardrails. Otherwise AI just automates bad guesses.
Spot Instances are cheap until they break your app. Here is the boilerplate code you need to handle SIGTERM and preStop hooks correctly.
Stop guessing your CPU and RAM requests. A data-driven guide to right-sizing your pods without killing performance.