Kubenatives
Sharon SahadevanProduction Kubernetes for ML/AI workloads: GPU infrastructure, control plane internals, and model serving patterns for engineers running inference at scale.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 98 | Subscribers | Read | kubenatives.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
3-Node HA Setup: Quorum, Split-Brain, and Why the Math Matters
Every production Kubernetes guide tells you to run 3 control plane nodes. Most never explain why.
Production Case Study: The vLLM Pod That Only OOMed at 3 AM
A 5-week investigation into a memory failure that ignored every rule we knew about LLM inference. The root cause changed how we think about KV cache management.
Production Kubernetes Debugging: A Systematic Framework
Something is wrong with your cluster.
Production Runbook: vLLM OOMKilled Recovery
When your inference pod dies mid-request with exit code 137. What to check, what to fix, and how to stop it from happening again.
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Authors
The writers behind this newsletter.
I write Kubenatives — production runbooks and deep-dives on Kubernetes for GPU/ML workloads. Engineer with production H100 cluster experience.
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