Books

The ultimate practical guide designed to fast-track your technical skills without the fluff. Whether you are a developer, student, or DevOps engineer, this essential reference delivers actionable insights to solve real-world problems instantly. Master your craft and stream-line your workflow today!

When production breaks, the answer is in a log file on a server somewhere. grep, curl, jq, Bash, and Docker — your survival kit, with 100 exercises.

From commit to confidence: pipelines where tests gate what matters, run in parallel, and tell developers the truth fast.

The deploy is not the finish line. Use logs, traces, metrics, canaries, and feature flags to keep testing after release — where it counts most.

Break things on purpose, before production does it for you. Load tests that mirror reality and chaos experiments you can defend to management.

> 3:07 a.m. The pager goes off. Your database is down, the disk is full, and you're the on-call engineer holding the line. Open this manual to the playbook you need right now to diagnose, stabilize, and verify the fix -- fast.

There's a reason your last incident made it past review. It's not that nobody tested — it's that nobody asked the right question. This book is 745 of the right questions, sorted by what happens if you skip them.

Build your own 24/7 internet radio in a single weekend — on a €5 server, understood down to the last line. Ten chapters from bare server to on-air: the tower (Icecast), the robot (Liquidsoap), the door (nginx). Every step tested live, every trap marked. Friday it's a napkin sketch; Sunday night a stranger presses play, and it plays.

Your DevOps pipeline is broken. PRs rot in review. Alerts scream into the void. Incidents drag on for hours. And capacity planning? A guessing game with your budget on the line.AI in DevOps isn’t about hype—it’s about fixing what’s actually broken. This book gives you: LLM-powered code reviews Intelligent alerting Auto-remediation Predictive scaling

What if learning Kubernetes felt like reading a story instead of a manual? Follow three engineers as they grow from a crashing monolith to a production-grade Kubernetes platform. Every concept taught through real problems, real YAML, and real solutions.

Tired of 2 AM fire drills because a rogue container slipped into production? Policy-as-Code Field Guide is your battle-tested playbook for automating compliance, security, and operational guardrails—before they become incidents.From OPA’s Rego to Kyverno’s YAML, Conftest’s pre-commit checks to Sentinel’s Terraform controls, this guide cuts through the noise with real-world policies, CI/CD integrations, and production hardening tips you can use today.Shift left. Enforce early. Sleep better.

Stop Guessing. Start Dominating Your DevOps Interview.You’ve spent years mastering GCP, Terraform, Kubernetes, and CI/CD—but can you articulate your expertise under pressure? Most candidates stumble on strategic framing, production scenarios, or leadership questions. This guide changes that.What’s Inside? 🔹 End-to-End CI/CD Pipeline Design – From GitHub Actions to ArgoCD, with security gates and rollback strategies. 🔹 Secure Multi-Env GCP Infrastructure – Private GKE clusters, Workload Identity, Secret Manager, and VPC Service Controls—all production-ready. 🔹 Kubernetes + ArgoCD at Scale – App-of-Apps patterns, RBAC, and zero-downtime deployments for multi-team platforms. 🔹 Python for DevOps Automation – Audit IAM bindings, build operators, and automate workflows like a pro. 🔹 Leadership & Behavioral Mastery – STAR method stories for incidents, tool adoption, and mentorship.Why This Guide? ✔ No Fluff – Only actionable, interview-tested content. ✔ Real-World Code – Terraform modules, ArgoCD manifests, and Python scripts you can use today. ✔ Interviewer Mindset – Learn what hiring managers actually look for in a Lead DevOps Engineer.Your Next Career Move Starts Here. 📖 Grab your copy and walk into your interview prepared to impress.

A practical guide to operating a fleet of AI coding agents through routing, memory, skills, MCP, guardrails, and a persistent control plane (322 manuscript pages).

Your apps are failing. You just don’t know it yet.What if you could see every crash, slowdown, and bottleneck before your users do? Understanding Dynatrace pulls back the curtain on AI-powered observability—turning blind spots into actionable insights. Stop guessing. Start observing.

Go from an empty cluster to a self-deploying GitOps pipeline, doing every step yourself: Applications, sync policy, hooks, RBAC, Helm, ApplicationSets, and a setup that ships every branch on push. You finish with a pipeline you can explain line by line, not a demo you watched run.