Day 8: add MLflow model release checklist for Kubernetes

[darshan-shanthveer-patil]

Add an 11-item release checklist for CPU inference services and model sidecars. It covers pinned model/runtime inputs, comparable quality and CPU benchmarks, artifact access, approval, probes, canary traffic, loaded-version verification, rollback, and ongoing quality ownership.

The checklist distinguishes registry alias changes from deployment and explains why rollback needs the previous model artifact as well as the Pod template. Links point to the MLflow and Kubernetes documentation. This is my Day 8 checklist contribution.

Validation:

• Loaded the entry with getAllChecklists and getChecklistBySlug.
• Verified unique item IDs, required item fields, and HTTPS resource links.
• Verified progress at 0% and 100%, and Markdown export of all 11 items.
• Prettier check passed.
• Published file matches the locally checked Git blob.

No inference benchmark or live cluster rollout was performed; this adds review guidance, not a running release pipeline.