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Distributed systems have become more fine-grained in the past 10 years, shifting from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of headaches. With lots of examples and practical advice, this book takes a holistic view of the topics that system architects and administrators must consider when building, managing, and evolving microservice architectures.

Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Youll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.

• Discover how microservices allow you to align your system design with your organizations goals
• Learn options for integrating a service with the rest of your system
• Take an incremental approach when splitting monolithic codebases
• Deploy individual microservices through continuous integration
• Examine the complexities of testing and monitoring distributed services
• Manage security with user-to-service and service-to-service models
• Understand the challenges of scaling microservice architectures

The overwhelming majority of a software systems lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?

In this collection of essays and articles, key members of Googles Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. Youll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficientlessons directly applicable to your organization.

This book is divided into four sections:

• IntroductionLearn what site reliability engineering is and why it differs from conventional IT industry practices
• PrinciplesExamine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)
• PracticesUnderstand the theory and practice of an SREs day-to-day work: building and operating large distributed computing systems
• ManagementExplore Google's best practices for training, communication, and meetings that your organization can use

Legend has it that Google deploys over two billion application containers a week. Hows that possible? Google revealed the secret through a project called Kubernetes, an open source cluster orchestrator (based on its internal Borg system) that radically simplifies the task of building, deploying, and maintaining scalable distributed systems in the cloud. This practical guide shows you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.

Authors Kelsey Hightower, Brendan Burns, and Joe Bedawhove worked on Kubernetes at Google and other organizatonsexplain how this system fits into the lifecycle of a distributed application. You will learn how to use tools and APIs to automate scalable distributed systems, whether it is for online services, machine-learning applications, or a cluster of Raspberry Pi computers.

• Explore the distributed system challenges that Kubernetes addresses
• Dive into containerized application development, using containers such as Docker
• Create and run containers on Kubernetes, using the docker image format and container runtime
• Explore specialized objects essential for running applications in production
• Reliably roll out new software versions without downtime or errors
• Get examples of how to develop and deploy real-world applications in Kubernetes