coreweave-prod-checklist

name	coreweave-prod-checklist
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
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","gpu-cloud","kubernetes","inference","coreweave"]
compatible-with	claude-code

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

kubectl rollout undo deployment/my-inference
kubectl rollout status deployment/my-inference

Resources

• CoreWeave CKS

Next Steps

For upgrades, see coreweave-upgrade-migration.