Go Deeper: Hands-On Courses
The newsletter covers the what and why. The courses cover the how, step by step, on a real cluster.
Every course is text-based. No videos. No fluff. Labs, exercises, complete configuration files, and production checklists.
Built by the same engineer who writes KubeNatives. Production-tested on real GPU clusters.
Available Now
Production GPU Infrastructure on Kubernetes
The complete guide to running GPU workloads on Kubernetes in production. From NVIDIA drivers to vLLM serving at scale.
8 modules. 24 lessons. 12 hours.
What you will learn:
→ Deploy and manage the NVIDIA GPU Operator (all 8 components)
→ Configure MIG partitioning for multi-tenant GPU sharing
→ Serve LLMs in production with vLLM on Kubernetes
→ Build GPU monitoring with DCGM, Prometheus, and Grafana
→ Debug every GPU scheduling issue (the 7 reasons pods get stuck in Pending)
→ Right-size resource requests and limits for inference workloads
→ Set up autoscaling for GPU pods with HPA and KEDA
→ Implement GPU node pools with taints, tolerations, and cost isolation
What makes this different from the newsletter:
The newsletter articles explain concepts in 1,200 to 1,800 words. The course modules are 6,000 to 8,000 words with:
→ Step-by-step walkthroughs with every command and expected output
→ Exercises you run on a real cluster (not just reading)
→ Complete YAML files you can copy and modify
→ Common mistakes with exact error messages and solutions
→ Production checklists to verify before every deployment
$79 — Lifetime access. Free preview of Module 1.
Coming Soon
Production Kubernetes Operations
Control plane internals, etcd operations, upgrades, DNS, networking, and the debugging framework for production clusters. 10 modules.
Model Serving on Kubernetes
vLLM, Triton, KServe, LLMOps patterns, autoscaling, A/B testing, and multi-model serving. 10 modules.
Kubernetes Cluster Upgrades with kubeadm
The production playbook for upgrading self-managed clusters without downtime. 6 modules.
etcd Operations Masterclass
Monitoring, compaction, defragmentation, backup/restore, NOSPACE recovery, and migration. 5 modules.
Subscribe to KubeNatives to get notified when new courses launch.
FAQ
Are these video courses?
No. All courses are text-based with diagrams. Designed for engineers who prefer reading over watching. You can search, copy commands, and reference sections instantly. No pausing and rewinding.
Do I need the newsletter to take the courses?
No. The courses are standalone. But the newsletter provides weekly updates on the same topics and is a good companion.
What if I already read all the newsletter articles?
The courses go 3 to 4x deeper. The articles give you the concepts. The courses give you the labs, exercises, production checklists, and the step-by-step walkthroughs that turn understanding into ability.
Is there a refund policy?
Yes. If the course does not meet your expectations, email within 14 days for a full refund.
Will more courses be added?
Yes. New courses launch throughout 2026. KubeNatives subscribers get early access and launch pricing.
About the Author
I am an AI Infrastructure Engineer managing H100 clusters in production. I hold 5 AWS certifications, CKA, CKAD, and Terraform Associate. I write KubeNatives because I solve these problems every day and want to share what actually works.
The courses are built from the same production experience. Not theory. Not docs rewritten. Real patterns from real clusters.