coreweave-prod-checklist

Included with Lifetime

$97 forever

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".

Generalsaasgpu-cloudkubernetesinferencecoreweave

What this skill does

# 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`.

Files: 1

Size: 1.7 KB

Complexity: 12/100

Category: General

Source: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/coreweave-pack/skills/coreweave-prod-checklist

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