Timely analysis, tutorials, and opinion from ScaleCloud architects on the cloud and AI landscape.
10 resources
Sizing requests off peak usage rather than typical usage inflates cluster costs significantly; size requests to typical (e.g., p50) usage and rely on limits…
Rightsizing requests and limits based on actual usage (not guesses) is table stakes, but it typically saves 10-20% — the bigger wins come from…
Implement a consistent tagging standard enforced by policy (not just documentation) before attempting any cost allocation reporting — untagged resources are the single biggest…
Cross-reference the anomaly alert's time window against your deployment and job-scheduling logs before assuming it's a genuine cost leak; a surprising number of anomaly…
