Go beyond the basics of Kubernetes and explore more advanced concepts, including Kubernetes in production, governance, serverless computing, and service meshes.
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key Features
- Master Kubernetes architecture and design to build, deploy, and secure large-scale distributed systems
- Learn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy engines
- Explore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and Helm
Book Description
The fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters.
You’ll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you’ll understand how to utilize serverless computing and service meshes.
Further, two new chapters have been added. “Governing Kubernetes” covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. “Running Kubernetes in Production” shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management.
By the end of this Kubernetes book, you’ll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.
What you will learn
- Learn how to govern Kubernetes using policy engines
- Learn what it takes to run Kubernetes in production and at scale
- Build and run stateful applications and complex microservices
- Master Kubernetes networking with services, Ingress objects, load balancers, and service meshes
- Achieve high availability for your Kubernetes clusters
- Improve Kubernetes observability with tools such as Prometheus, Grafana, and Jaeger
- Extend Kubernetes with the Kubernetes API, plugins, and webhooks
Who this book is for
If you're a system administrator or cloud developer who wants to become comfortable with Kubernetes and would like to master its advanced features, then this book is for you. Software and DevOps engineers with a working knowledge of Kubernetes, as well as technical managers of Kubernetes-based systems, will also find this book useful. Those deciding on whether to migrate to Kubernetes and are curious about its inner workings will find plenty of answers here as well. Basic familiarity with networking concepts will prove beneficial.
Table of Contents
- Understanding Kubernetes Architecture
- Creating Kubernetes Clusters
- High Availability and Reliability
- Securing Kubernetes
- Using Kubernetes Resources in Practice
- Managing Storage
- Running Stateful Applications with Kubernetes
- Deploying and Updating Applications
- Packaging Applications
- Exploring Kubernetes Networking
- Running Kubernetes on Multiple Clusters
- Serverless Computing on Kubernetes
- Monitoring Kubernetes Clusters
- Utilizing Service Meshes
- Extending Kubernetes
- Governing Kubernetes
- Running Kubernetes in Production
- The Future of Kubernetes
Gigi Sayfan has been developing software for 25+ years in domains as diverse as instant messaging, morphing, chip fabrication process control, embedded multimedia applications for game consoles, brain-inspired ML, custom browser development, web services for 3D distributed game platforms, IoT sensors, virtual reality, and genomics. He has written production code in languages such as Go, Python, C, C++, C#, Java, Delphi, JavaScript, and even Cobol and PowerBuilder for operating systems such as Windows (3.11 through 7), Linux, macOS, Lynx (embedded), and Sony PlayStation. His technical expertise includes databases, low-level networking, distributed systems, containers, unorthodox user interfaces, modern web applications, and general SDLC.
