Mastering Kubernetes: Learn Kubernetes architecture, deployment, and automation (English Edition)

Kubernetes is widely recognized as the de facto standard for orchestrating containerized applications in modern cloud-native environments. As organizations adopt microservices and scalable infrastructure, a deep understanding of Kubernetes is important for the team involved in application deployment, infrastructure automation, and cloud architecture. This book is designed to bridge the gap between basic container concepts and advanced, production-grade cloud-native engineering. This book provides a comprehensive, hands-on approach to learning Kubernetes, beginning with core concepts of container orchestration. It explores the Kubernetes architecture, resource configurations, and advanced concepts like custom resources, security and access control, service meshes, and observability. Each chapter focuses on practical implementation, covering topics like designing scalable deployments, managing stateful applications, securing clusters, and building CI/CD pipelines with best practices that enable you to apply these concepts in production.By the end of this book, you will have the skills to deploy, manage, and scale Kubernetes clusters across diverse environments. Whether you are a developer, DevOps engineer, or architect, you will gain a thorough and practical understanding of how to use Kubernetes effectively and efficiently at scale.WHAT YOU WILL LEARN¿ Setting up and managing Kubernetes clusters in any environment.¿ Deploying and scaling containerized applications.¿ Securing workloads with RBAC, secrets, and network policies.¿ Monitoring, logging, and troubleshooting using observability tools.¿ Automating CI/CD workflows with GitOps and custom operators.WHO THIS BOOK IS FORThis book is for DevOps engineers, software developers, and cloud architects seeking to build, deploy, scale, and secure containerized applications. Readers should possess a foundational understanding of Linux command-line operations, basic networking concepts, and containerization fundamentals using Docker.