tag: Finops · 4 items
- Platform/SRE — Skip
- CI/CD — Skip
- Leader — Learn: If your org runs Bedrock inference through the bedrock-mantle endpoint, this extends IAM-tag-based cost attribution to that path, making per-team or per-project FinOps visibility more complete in Cost Explorer and CUR 2.0.
- Platform/SRE — Plan: This GA release adds per-token inference cost attribution to OpenCost, directly addressing GPU cost visibility for platform teams running AI workloads on Kubernetes. Evaluate upgrading OpenCost to 1.121.0 this quarter if your clusters host inference workloads.
- CI/CD — Skip
- Leader — Plan: First GA implementation of per-token inference cost tracking in an open CNCF tool is a meaningful FinOps development for orgs with growing GPU spend; evaluate adopting OpenCost 1.121.0 as part of your AI cost attribution strategy this planning cycle.
- Platform/SRE — Learn: Grafana Cloud now supports label-based cost attribution (e.g., team, env) across metrics, logs, traces, k6, and Synthetic Monitoring — useful context for platform teams that want to support internal showback models, but no migration or deadline is involved.
- CI/CD — Skip
- Leader — Plan: Evaluate enabling Grafana Cloud cost attribution labels this quarter if the org needs chargeback or showback across teams; the new k6 and Synthetic Monitoring coverage makes this a more complete FinOps lever for observability spend.
- Platform/SRE — Learn: A self-hosted alternative to CAST AI for cluster rightsizing and bin-packing consolidation — worth evaluating if cost optimization is on the roadmap, but at 63 stars and no enrichment signals confirming GA stability, treat as an early-stage tool to watch rather than adopt.
- CI/CD — Skip
- Leader — Learn: Signals a maturing open-source alternative to commercial Kubernetes cost-optimization vendors like CAST AI; worth tracking as a build-vs-buy data point for FinOps tooling, but too early-stage to drive a strategic decision today.