Courses
Premium, text-based courses for senior engineers who want depth, not fluff.
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Agentic AI Platform Engineering
The platform layer beneath the agents, for engineers who operate them rather than write them.

Designing Large-Scale GPU Clusters on Kubernetes
Designing the Kubernetes platform underneath training and inference on the same GPUs.

Architecture and Scale
The patterns and data structures that make systems hold up at scale.

Bash & Shell Scripting for Engineers
For engineers who copy-paste shell from Stack Overflow and want to stop.

CI/CD Pipeline Engineering
For engineers who own the pipeline everyone else depends on.

Container Internals and Runtime Engineering
What happens beneath the container abstraction, at the kernel and runtime level.

Distributed Systems Design
Consensus, consistency, and the hard problems that only appear at scale.

Docker & Container Fundamentals
What containers actually are, and how to run and debug them in production.

eBPF & Cilium for Platform Engineers
Understand eBPF deeply enough to reason about it, and Cilium well enough to run it.

etcd Operations Masterclass
The storage engine behind every Kubernetes cluster, and how to keep it running.

Git Internals for Engineers
What Git actually is underneath, and the workflows senior engineers use daily.

GitOps with Argo CD
Running Argo CD as critical infrastructure, for the team that owns deployment.

GPU Cost Optimization on Kubernetes
Cut GPU spend in half without breaking production.

Identity and Trust for DevOps Engineers
From TLS handshakes to zero trust, for engineers who need identity to finally make sense.

Internal Developer Platform
For engineers building the platform the rest of the company has to use.

Kubernetes Architecture & Chaos
How Kubernetes works under the hood, and how to test that it holds.

Kubernetes System Design Interview Prep
The structured framework for senior and staff Kubernetes design interviews.

Kubernetes Cluster Upgrades with kubeadm
Upgrading production clusters with kubeadm, from planning to worker rollout.

Kubernetes Debugging for SREs
The systematic debugging playbook for the 3 AM incident.

Kubernetes Failure Recovery and Cluster Repair
Something is broken. Every scenario opens with a verdict: recoverable, or not.

Kubernetes Networking
Find the broken hop rather than guess at it. CNI agnostic.

Kubernetes Performance Optimization
For the interview question and the incident: your cluster is slow, what do you do?

Kubernetes Security for DevOps Engineers
Secure clusters the way attackers think about them.

Linux Fundamentals for Engineers
The Linux foundations senior engineers are expected to already know.

Production LLM Inference on Kubernetes
Running LLM inference on self-managed Kubernetes, from real H100 deployments.

LLM Observability in Production
For engineers who have to run the trace store, not just read it.

LLM Operations for MLOps Engineers
31 LLM concepts through the lens of operating them at scale.

Networking and API Design for System Design
The communication layer of system design, from packets to APIs.

Networking Fundamentals for Engineers
The networking knowledge that turns "the app is down" into a root cause.

Observability Fundamentals for Engineers
The difference between debugging in minutes and staring at Grafana for hours.

Production GPU Infrastructure on Kubernetes
Running GPU workloads on Kubernetes in production, from drivers to serving.

Production Kubernetes Operations
The Day 2 playbook. The knowledge teams usually learn the hard way.

Production Systems Engineering
The production half of system design: deploy it, observe it, secure it.

Production RAG Infrastructure on Kubernetes
For engineers running retrieval in production who need it to work at millions of documents.

SSL/TLS & Certificate Management for Kubernetes Engineers
From encryption fundamentals to the 3 AM cert expiry runbook.

The Staff Engineer's Judgment
What separates the staff engineer from the senior one beside them.

Running Databases and Stateful Systems on Kubernetes
For engineers who have to run the database, not just the cluster it sits on.

