دانلود کتاب Kubernetes نهایی برای برنامه‌های کاربردی ابری

This book offers a comprehensive, hands-on journey into designing, building, and managing cloud-native applications using Kubernetes. It is crafted to help Cloud Engineers, DevOps professionals, Data Engineers, and Data Architects master real-world Kubernetes challenges and best practices. The book begins by introducing cloud-native architecture, Kubernetes fundamentals, and container orchestration principles, laying the foundation for scalable, resilient applications. Readers will learn how to set up production-ready Kubernetes clusters across cloud (AWS, Azure, and GCP) and on-prem environments, ensuring robust and secure deployments. As the book progresses, readers will dive into advanced topics such as microservices design patterns, CI/CD pipelines, Kubernetes security, observability, and workload automation. Special focus is given to realworld scenarios, including scaling distributed applications, monitoring cluster health, and securing workloads using DevSecOps best practices. By the final chapters, the book will guide readers through troubleshooting Kubernetes clusters, debugging issues in production environments, and implementing Infrastructure as Code (IaC) with Terraform and Helm. It also explores emerging trends such as AI/ML workloads on Kubernetes, edge computing, and serverless container orchestration. With step-by-step labs, expert insights, and real-world case studies, this book ensures that readers walk away with the skills and confidence to build, deploy, secure, and scale Kubernetes-powered cloud-native applications in any enterprise environment. This book is divided into 13 chapters, each covering a deep dive into Kubernetes and cloud-native architectures. These chapters are exclusively designed to engage learners, and spark interest in cloud-native technologies. The details are listed as follows: Chapter 1: Introduction to Cloud Native and Kubernetes This chapter introduces the core concepts of cloud-native architecture, and explains why Kubernetes has become the de facto standard for container orchestration. The reader will learn how cloud-native applications address modern infrastructure challenges, and how Kubernetes fits into the DevOps ecosystem. Chapter 2: Setting Up Kubernetes Clusters This chapter provides a hands-on guide to setting up Kubernetes clusters in both on-premise and cloud environments. It covers installation methods, cluster configuration, and common setup challenges, while ensuring that readers understand how to create production-ready Kubernetes infrastructures. Chapter 3: Kubernetes Architecture Deep Dive This chapter offers a comprehensive exploration of Kubernetes architecture, detailing its internal components, and how they work together to orchestrate containerized applications seamlessly. Chapter 4: Containers, Pods, and Microservices Patterns This chapter dives deep into containerization concepts, pod management, and designing microservices patterns that thrive in Kubernetes environments. Chapter 5: CI/CD Pipelines for Kubernetes A practical guide to implementing CI/CD pipelines using Kubernetes-native tools, and integrating with Jenkins, GitHub Actions, and ArgoCD. Chapter 6 (A/B): Scaling Applications Horizontally and Vertically Learn how to scale Kubernetes applications efficiently, using horizontal pod autoscalers, vertical pod autoscalers, and custom metrics. Chapter 7: Securing Kubernetes Workloads and DevSecOps A hands-on exploration of Kubernetes security best practices, RBAC, and integrating DevSecOps pipelines. Chapter 8: Networking Strategies and Service Mesh with Istio This chapter introduces Kubernetes networking concepts, and explores how service meshes such as Istio enable secure, observable, and controlled microservices communication. Chapter 9: Debugging Kubernetes A practical guide to identifying and troubleshooting Kubernetes issues in real-world scenarios, including pod failures, performance bottlenecks, and networking glitches. Chapter 10: Monitoring, Logging and Observability This chapter covers the setup of a robust monitoring and logging stack to gain insights into cluster health and application performance. Hence, these processes are indispensable for monitoring ETL processes, and ensuring data integrity and performance. Chapter 11: Automation with Helm, Terraform, and Ansible Learn Infrastructure-as-Code practices to automate Kubernetes deployments, and manage cluster lifecycles efficiently. Chapter 12: Emerging Trends in Cloud-native and Kubernetes A forward-looking chapter that explores the latest trends and innovations shaping the future of Kubernetes and cloud-native technologies. Chapter 13: Advanced K8s – StatefulSets and Multi-Cluster Management This chapter covers advanced Kubernetes topics essential for managing complex, large-scale deployments across multiple environments. Readers will gain expertise in stateful workloads, optimized resource management, and multi-cluster federation, ensuring enterprise-grade scalability and resilience.