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Kubernetes & Orchestration. Deploying Scalable Node.js & AI Clusters without Tears
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About
About the Book
Master the Art of Deploying, Scaling, and Securing Modern Node.js & AI Clusters on Kubernetes!
Are you tired of "it works on my machine" deployment failures? Are you looking to transition your TypeScript microservices and demanding AI workloads into a resilient, highly available cloud infrastructure? Kubernetes & Orchestration: Deploying Scalable Node.js & AI Clusters without Tears is your ultimate, developer-first roadmap to mastering container orchestration.
Written specifically for JavaScript/TypeScript developers, full-stack engineers, and aspiring DevOps professionals, this book bypasses generic documentation to deliver deep conceptual insights, practical code simulations, and production-ready architectures.
Inside this comprehensive guide, you will explore:
- Core Kubernetes Primitives: Understand the true mechanics of Pods, ReplicaSets, Deployments, and StatefulSets.
- Cluster Networking & Security: Master secure routing with ClusterIP, NodePort, and Ingress Controllers (NGINX/Traefik) alongside Zero-Trust Network Policies.
- Persistent Storage & Stateful Apps: Decouple data from application lifecycles with Persistent Volumes, Claims, and database orchestration.
- AI Workload Optimization: Learn the secrets of GPU scheduling, handling cold-start latencies, and configuring event-driven autoscaling with KEDA.
- Modern GitOps Pipelines: Implement ArgoCD to establish Git as the absolute, immutable single source of truth for your infrastructure.
- Local & Managed Kubernetes: Bridge the gap between local development (Minikube/Kind) and cloud deployment (Amazon EKS, Google GKE, DigitalOcean).
With hands-on exercises, real-world troubleshooting scenarios (debugging OOMKilled and CrashLoopBackOff states), and complete TypeScript/Next.js and YAML examples, this volume provides the precise tools and knowledge needed to build robust, self-healing, and cost-optimized clusters.
Stop fighting YAML and start orchestrating with confidence. Grab your copy today!
Table of contents
Chapter 1: Kubernetes Architecture (Control Plane vs Nodes)
Chapter 2: Local K8s: Minikube & Kind
Chapter 3: Pods, Deployments, and ReplicaSets
Chapter 4: Services & Networking (ClusterIP, NodePort)
Chapter 5: ConfigMaps & Secrets Management
Chapter 6: Ingress Controllers (Nginx / Traefik)
Chapter 7: Helm Charts - The Package Manager for K8s
Chapter 8: Persistent Volumes & Claims (Stateful Apps)
Chapter 9: StatefulSets vs Deployments
Chapter 10: Horizontal Pod Autoscaling (HPA)
Chapter 11: Liveness & Readiness Probes
Chapter 12: Scaling AI Inference Pods with KEDA (Event Driven)
Chapter 13: GPU Scheduling in Kubernetes
Chapter 14: Service Mesh Basics (Istio/Linkerd)
Chapter 15: GitOps Principle - Introduction to ArgoCD
Chapter 16: Managed K8s (EKS vs GKE vs DigitalOcean)
Chapter 17: Network Policies & Security Contexts
Chapter 18: Debugging Crashing Pods
Chapter 19: Zero-Downtime Rolling Updates
Chapter 20: Capstone - Deploying a Microservices Cluster
If printed, this ebook would span over 400 pages. Each chapter is structured into theoretical foundations, an annotated basic example, an annotated advanced example, and five coding exercises based on real-world scenarios with complete solutions.
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Author
About the Author
Edgar Milvus
A veteran software engineer with 20 years of experience, I have dedicated my career to the art of automation. My philosophy is simple: programming should eliminate repetitive chores to unlock human creativity. This journey began early on with the development of custom code-generation tools and has evolved into a deep mastery of LLMs and their APIs. Today, I specialize in architecting AI-driven solutions that handle everything from complex coding and security tasks to advanced knowledge retrieval, transforming the way we interact with technology
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