Learn how to use Go's strengths to develop services that are scalable and resilient even in an unpredictable environment. With this book's expanded second edition, Go developers will explore the composition and construction of cloud native applications, from lower-level Go features and mid-level patterns to high-level architectural considerations.

Each chapter in this new edition builds on the lessons of the previous chapter, taking intermediate to advanced developers through Go to construct a simple but fully featured distributed key-value store. You'll learn about Go generics, dependability and reliability, memory leaks, and message-oriented middleware. New chapters on security and distributed state delve into critical aspects of developing secure distributed cloud native applications.

With this book you will:

• Learn the features that make Go an ideal language for building cloud native software
• Understand how Go solves the challenges of designing scalable distributed services
• Design and implement a reliable cloud native service by leveraging Go's lower-level features such as channels and goroutines
• Apply patterns, abstractions, and tooling to effectively build and manage complex distributed systems
• Overcome stumbling blocks when using Go to build and manage a cloud native service

Table of Contents

Part I. Going Cloud Native

Chapter 1. What Is a "Cloud Native" Application?

Chapter 2. Why Go Rules the Cloud Native World

Part II. Cloud Native Go Constructs

Chapter 3. Go Language Foundations

Chapter 4. Cloud Native Patterns

Chapter 5. Building a Cloud Native Service

Part Ill. The Cloud Native Attributes

Chapter 6. Cloud Native Design Principles

Chapter 7. Scalability

Chapter 8. Loose Coupling

Chapter 9. Resilience

Chapter 10. Manageability

Chapter 11. Observability

Chapter 12. Security

Chapter 13. Distributed State

About the Author

Matthew Titmus is a seasoned veteran of the software development industry. Since teaching himself to build virtual worlds in LPC, he's earned a surprisingly-relevant degree in molecular biology, written tools to analyze terabyte-sized datasets at a high energy physics laboratory, developed an early web development framework from scratch, wielded distributed computing techniques to analyze cancer genomes, and pioneered machine learning techniques for linked data.

He was an early adopter and advocate of both cloud native technologies in general and the Go language in particular. For the past several years he has specialized in helping companies migrate monolithic applications into a containerized, cloud native world, allowing them to transform the way their services are developed, deployed, and managed. He is passionate about what it takes to make a system production quality, and has spent a lot of time thinking about and implementing strategies for observing and orchestrating distributed systems.