Production Guides
These guides target the searches that usually come from a real platform problem: slow first token, pending GPU pods, serving framework decisions, RAG access failures, and launch readiness.
Last reviewed: June 8, 2026. These pages are source-anchored and designed as entry points into the matching K8sLLM labs.
| Guide | Production problem | Matching lab |
|---|---|---|
| LLM Latency on Kubernetes | Pods are healthy, but users still wait for first token. | vLLM inference challenge |
| vLLM Kubernetes Production Deployment | Runtime is deployed, but model readiness, cache, probes, and metrics are unclear. | vLLM Kubernetes deployment lab |
| GPU Node Pool Scheduling for LLM Inference | Expensive GPU capacity exists, but pods are pending or fragmented. | GPU node pool scheduling lab |
| KServe vs Ray Serve for LLM Platforms | The team is choosing a serving layer without agreeing on ownership. | KServe vs Ray Serve decision lab |
| RAG Tenant Isolation on Kubernetes | Retrieval quality looks good, but tenant boundaries are not proven. | RAG retrieval challenge |
| LLM Production Readiness Checklist | The model works in staging, but launch evidence is incomplete. | Production readiness challenge |
Weekly publishing cadence
Each new page should produce one short distribution package:
| Asset | Required content |
|---|---|
| LinkedIn post | One failure mode, one decision table, one lab link. |
| Dev.to article | Same core content with the diagram, commands, and checklist preserved. |
| Community post | One practical question and one link to the matching lab or guide. |