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Production AI Radar
OpenCost / Kubecost
Kubernetes cost allocation by namespace, label, and GPU workload.
TrialFinOpsNew
- Why this ring
- Essential once AI workloads run on K8s; less relevant for serverless-only inference.
- Production risk if ignored
- Garbage labels → garbage attribution → wrong teams get cut.
- Typical effort
- weeks
- High FinOps impact
Use cases
- GPU namespace showback
- Idle resource detection
- Chargeback reports
Adoption steps
- Define label schema
- Enforce with admission policy
- Install OpenCost
- Automate weekly report
Related tools
In your assessment
Label policy enforcement + allocation accuracy spot-check