Built by engineers running production Kubernetes and GPU infrastructure at scale. Read by 3,500+ engineers on the Kubenatives newsletter.
Most Kubernetes content teaches you the wrong things.
Certifications teach you command syntax. YouTube tutorials show happy paths. Blog posts explain features in isolation.
None of them teach you what actually matters in production:
- •Why your vLLM pods OOM at 3 AM and how to tell which type of OOM it is
- •What nvidia-smi output actually means (most engineers read it wrong)
- •When MIG partitioning saves you $50K/month and when it doesn't
- •Why your distributed training is 3x slower on Kubernetes than bare metal
- •How to upgrade Kubernetes without taking down production
DevOpsBeast courses teach the reasoning frameworks and operational knowledge you need when the outage is happening at 3 AM and the documentation doesn't help.
Start free.
Before you buy anything, take one of our free courses. No email required. No credit card. Read it, share it, use it.
Networking Fundamentals for Engineers
The TCP/IP, DNS, and network troubleshooting knowledge every engineer is expected to know, but most never formally learn.
- How a packet travels from your laptop to a Kubernetes pod
- The tcpdump commands that solve 80% of network issues
- What CNI plugins actually do (and what they don't)
Linux Fundamentals for Engineers
For engineers who use Linux every day but never formally learned it. Filesystems, processes, systemd, cgroups, and namespaces.
- How the kernel, userspace, and syscalls fit together
- systemd, journalctl, and reading /proc to debug anything
- cgroups and namespaces: the building blocks of every container
Docker & Container Fundamentals
For engineers who use Docker every day but never understood what it actually is. No more magic, no more guessing.
- What Docker really is: dockerd, containerd, runc, and the OCI spec
- Image layers, caching, and Dockerfiles that cut size 10×
- Production debugging: won't start, slow, or broken networking
Git Internals for Engineers
For engineers who use Git every day but never understood what it actually does. A content-addressable filesystem you already know how to use.
- Blobs, trees, commits, refs: Git is just a filesystem of hashes
- Rebase, reset, and reflog: rewriting history without losing work
- Cherry-pick, bisect, blame, and pickaxe for real debugging
Bash & Shell Scripting for Engineers
The actual minimum for writing shell scripts that do not break in production. Parsing, quoting, error handling, ShellCheck.
- How Bash parses a script: word splitting, quoting, expansion order
- `set -euo pipefail` and the traps pattern for production scripts
- ShellCheck in CI, structured debugging, and when to switch to Python
Observability Fundamentals for Engineers
Metrics, logs, traces, and SLOs: the third pillar of engineering that most engineers learn wrong.
- The four golden signals, cardinality budgets, and Prometheus done right
- Structured logging, OpenTelemetry tracing, and sampling that keeps costs sane
- SLIs, SLOs, error budgets, and alerts that signal instead of spamming
When you're ready to go deeper.
Production GPU Infrastructure on Kubernetes
For engineers running LLMs, training, or GPU inference in production.
LLM Operations for MLOps Engineers
31 essential LLM concepts through the lens of MLOps, with real interview scenarios and FAANG-level system design questions.
Kubernetes Performance Optimization
Make your cluster fast. Control plane tuning, resource right-sizing, network and storage performance, autoscaling, and EKS/GKE/AKS-specific optimization.
Kubernetes Security for DevOps Engineers
Secure clusters the way attackers think. API security, RBAC, STRIDE threat modeling, network policies, runtime detection, zero trust, with FAANG-level interview scenarios.
Identity and Trust for DevOps Engineers
From TLS handshakes to zero trust. Cryptographic primitives, OAuth 2.0, OIDC, SAML, mTLS, JWTs, authorization patterns (RBAC/ABAC/ReBAC), Okta as code, debugging identity flows, and an enterprise-identity capstone.
Kubernetes System Design Interview Prep
For engineers preparing for senior/staff interviews at FAANG and scale-ups.
Kubernetes Cluster Upgrades with kubeadm
For SREs and platform engineers responsible for cluster upgrades.
Production LLM Inference on Kubernetes
For engineers running LLM inference in production who need to scale, optimize, and debug it.
etcd Operations Masterclass
For SREs and platform engineers who run Kubernetes and can't afford to lose etcd.
Production Kubernetes Operations
The Day 2 playbook covering identity, storage, networking, scaling, cost, and DR. Works across self-managed, EKS, GKE, and AKS.
Kubernetes Architecture & Chaos
How K8s works under the hood. Apiserver, etcd, scheduler, kubelet, and chaos engineering. Pairs with the System Design course.
Why text, not video?
Search and reference
When production is on fire at 3 AM, you can search a text document in seconds. You can't search a 30-minute video.
Respects your time
Read a lesson in 10 minutes. Watch the same content in 30.
Code you can copy
Every command and YAML snippet is copy-paste ready. No pausing videos to retype.
Updated frequently
Text is easy to maintain. Kubernetes moves fast, and our content moves with it.
Who this is for.
DevOpsBeast courses are built for engineers who already have production experience and want to go deeper. If you're just starting with Kubernetes, our free Networking Fundamentals course is the right place to begin.
If you run production Kubernetes, deploy ML models on GPUs, interview for senior DevOps or platform roles, or upgrade clusters without breaking them, these courses are for you.
What DevOps Engineers Are Saying
Going through the course helped me connect many of the dots around the errors and challenges I faced while setting up GPU clusters and managing workloads in my current role. I highly recommend DevOpsBeast to anyone looking for deep practical experience and not just theory.
30-day money-back guarantee.
Try any course for 30 days. If it's not what you expected, email us and we'll refund you. No forms, no questions.
About
DevOpsBeast is built by Sharon Sahadevan, a production K8s and ML infrastructure engineer with hands-on experience running GPU workloads, upgrading clusters, and solving the kind of problems that don't have Stack Overflow answers.
Sharon also writes the Kubenatives newsletter, read by 3,500+ engineers learning production Kubernetes and DevOps weekly.