Books

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.

Kubernetes exposes plenty of state, but operators still have to reconstruct operational meaning from scattered Pods, Services, EndpointSlices, Events, PVCs, owner references, and status fields. This ebook uses `kctx`, a small read-only Kubernetes context engine, to show how deterministic entities, relations, signals, graphs, namespace snapshots, CRD adapters, and stable JSON contracts can turn raw cluster data into reusable context for humans, tools, and AI agents. It is written for SREs, platform engineers, Kubernetes operators, infrastructure developers, and AI tooling builders who want better primitives than raw YAML and improvised troubleshooting pipelines.

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.

大多数 Kubernetes 书籍教你 YAML。这本书教你构建一个数据中心。 你从 #!/usr/bin/env bash 开始。最终用一个命令就能配置、重载和拆除一个完整的多服务集群。没有魔法。没有黑盒。只有你、Bash，以及你亲手构建的云原生平台。

Your first AI integration is usually simple: one provider, one SDK, one model. Then production happens. Costs rise. Rate limits appear. Teams need access control. Security wants API keys centralized. Product wants to test better models. Finance wants to know who is spending what. Suddenly, the real problem is not calling an LLM. The real problem is operating AI as shared infrastructure. The End of AI Vendor Lock-In shows how LiteLLM helps teams build provider-agnostic, resilient, cost-aware AI systems that can route across models, manage fallbacks, track spend, enforce budgets, and reduce dependency on any single provider. If you are building AI products that need to survive real-world production pressure, this book is for you.

A leader at a company opens Slack one morning. The brief their virtual employee wrote looks normal: same headers, same prose voice, same cadence as every other brief that week. The last line ends mid-sentence. The API returned `stop_reason: "max_tokens"`. The system shipped it anyway. No exception. No log line. No retry. That bug doesn't look like the normal kind. This book is about why, and what to build instead.

Modern cybersecurity is no longer just about firewalls and antivirus. It is about architecture, governance, secure software delivery, cloud resilience, Zero Trust, AI security, and operational discipline.The Master Guide to Cyber Security brings these domains together into one practical enterprise-focused reference designed for modern security professionals, architects, engineers, and technology leaders.Built around real-world frameworks, secure-by-design principles, and current threat realities, this guide provides a structured roadmap for building secure systems in cloud-native and enterprise environments.

AI writes code faster than you can review it. This book gives you the gates: automated guardrails that catch bugs, enforce standards, and verify behavior before bad code reaches production. Stop being the last line of defense. Build the gates that catch the slop first, so you design and verify instead of proofread.

Build a fully observable system from scratch with OpenTelemetry. From auto-instrumentation to distributed traces, custom metrics, SLOs, and production deployment — 14 chapters, one real project, complete TypeScript code.

In this book, you build a production-grade system with a multi-stage pipeline that compiles, tests, scans, provisions infrastructure with Terraform and Bicep, deploys with zero downtime, validates with Newman, manages packages through Azure Artifacts, and instruments every stage with the security controls that modern AI-era applications require.

Learn how to build Kubernetes Operators from scratch using Kubebuilder, step by step. You will create real controllers, work with CRDs, and understand how reconciliation works in practice. By the end, you’ll know how to design, test, and run your custom operator.

Production is down. Dashboards look “green.” Users are still complaining. What went wrong?Traditional monitoring often shows what the system is doing, but not what users are experiencing.This guide introduces you to two powerful mental models:RED Metrics → What your users feelUSE Metrics → What your system is doingTogether, they give you a complete picture—because symptoms and root causes are not the same .Inside this book, you’ll learn how to:Detect issues before users report themCorrelate latency spikes with infrastructure saturationMove from metrics chaos to meaningful observabilityDesign monitoring for modern distributed systemsIf you’ve ever:Struggled to debug production issuesFelt overwhelmed by too many metricsWanted a structured monitoring approachThis book is your shortcut to thinking like an SRE and system architect.

Set up a secure Elasticsearch and Prometheus setup in Kubernetes that can be used in any production environment!

Master AWS IoT Core with this hands-on, comprehensive guide. Learn how to securely connect, manage, and scale your IoT device fleets using MQTT, AWS IoT Greengrass, bulk enrollments, and OTA updates. From edge hardware setups to cloud analytics and Zero Trust security, build enterprise-grade architectures today.