coreweave-prod-checklist

# CoreWeave Production Checklist ## Inference Services - [ ] GPU type and count validated for model size - [ ] Autoscaling configured (KServe or HPA) - [ ] Health and readiness probes set - [ ] Resource requests AND limits specified - [ ] Node affinity targeting correct GPU class - [ ] `minReplicas >= 1` for production (no cold starts) ## Storage - [ ] Model weights in PVC (not downloaded at startup) - [ ] Checkpoints saved to persistent storage - [ ] Storage class appropriate (SSD for inference, HDD for archival) ## Security - [ ] Secrets for model tokens and registry access - [ ] Network policies applied - [ ] Container images from trusted registries ## Monitoring - [ ] GPU utilization metrics collected - [ ] Inference latency and throughput tracked - [ ] Alert on pod restarts and OOM events - [ ] Log aggregation configured ## Rollback ```bash kubectl rollout undo deployment/my-inference kubectl rollout status deployment/my-inference ``` ## Resources - [CoreWeave CKS](https://docs.coreweave.com/docs/products/cks) ## Next Steps For upgrades, see `coreweave-upgrade-migration`.