AGENT SKILL
coreweave-prod-checklist
Production readiness checklist for CoreWeave GPU workloads. Use when launching inference services, preparing GPU training for production, or validating deployment configurations. Trigger with phrases like "coreweave production", "coreweave go-live", "coreweave checklist", "coreweave launch".
- License 许可
- MIT
- 最近更新
- 2026-06-24
- Stars
- ★ 66
- Forks
- 24
01 前言 Front Matter
- name
- coreweave-prod-checklist
- tags
- [ "saas", "gpu-cloud", "kubernetes", "inference", "coreweave" ]
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- description
- Production readiness checklist for CoreWeave GPU workloads. Use when launching inference services, preparing GPU training for production, or validating deployment configurations. Trigger with phrases like "coreweave production", "coreweave go-live", "coreweave checklist", "coreweave launch".
- allowed-tools
- Read, Bash(kubectl:*), Grep
- compatible-with
- claude-code
03 SKILL.md 正文
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 >= 1for 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
kubectl rollout undo deployment/my-inference
kubectl rollout status deployment/my-inference
Resources
Next Steps
For upgrades, see coreweave-upgrade-migration.
