Go Books
Starter Books
Learn Go guided by tests. Write a test, learn a new Go language feature to make it pass, refactor and repeat. You'll get a grounding in test-driven development and importantly understand the principles behind it.
This book helps Javascripters become Gophers. Outlining the differences between these languages makes it easier to switch back and forth, and can help mitigate potential issues when doing so.
A online book to start learning Golang. It features numerous exercises (and answers).
Go is a popular choice for writing DevOps and systems programs, and command-line tools in particular. How can we write simple, powerful, idiomatic, and even beautiful tools in Go? This book covers all the necessary techniques: functional options, flags and arguments, files and filesystems, executing commands, writing shells and pipelines, JSON and YAML wrangling, and even sophisticated API clients. Even more importantly, the book teaches you how to think like a master software engineer: how to break down problems into manageable chunks, how to test functions before they're written, and how to design Go CLIs that delight users.
Advanced Books
What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations.
A foundational and practical guide for effectively learning the fundamental blockchain concepts and progressively building a blockchain from scratch in Go with gRPC. An interesting and challenging adventure that takes you from the foundational concepts and purpose through the technical design and implementation to the practical testing and usage of the proposed blockchain. Simple, yet non-trivial. Concise, yet detailed. Practical, yet well-grounded.
Gin is a high-performance HTTP web framework used to build web applications and microservices in Go. This book is designed to teach you the ins and outs of the Gin framework with the help of practical examples. You'll start by exploring the basics of the Gin framework, before progressing to build a real-world RESTful API. Along the way, you'll learn how to write custom middleware and understand the routing mechanism, as well as how to bind user data and validate incoming HTTP requests. The book also demonstrates how to store and retrieve data at scale with a NoSQL database such as MongoDB, and how to implement a caching layer with Redis. Next, you'll understand how to secure and test your API endpoints with authentication protocols such as OAuth 2 and JWT. Later chapters will guide you through rendering HTML templates on the server-side and building a frontend application with the React web framework to consume API responses. Finally, you'll deploy your application on Amazon Web Services (AWS) and learn how to automate the deployment process with a continuous integration and continuous delivery (CI/CD) pipeline. By the end of this Gin book, you will be able to design, build, and deploy a production-ready distributed application from scratch using the Gin framework.
This book is a compilation of practical examples, lessons and techniques for Go developers. The topics cover the software lifecycle from learning the fundamentals, to software testing, to distribution and monitoring. - Learn unit testing - Make lovely CLIs - Monitor services - Release with GitHub Actions - Ship it with Docker - Work out Goroutines
It features techniques like Domain-Driven Design, Clean Architecture, CQRS (Command Query Responsibility Segregation), and other patterns. The book is based on a real open source project. Chapters go through refactoring of the project to show common anti-patterns and how to avoid them.
Are you an experienced Go developer that wants to be more productive? Do you want to write cleaner, faster, and easier to maintain code? Then the Beyond Effective Go book series is for you. This series is aimed at competent Gophers. It does not mess around with the basics but instead dives right into the daily problems that professional programmers face. Chiefly, how to write fast, robust applications and services that can be maintained and extended as requirements change. This book, Part 1 of the series, focuses on achieving high-performance code. You will learn which aspects of your application or code to focus on and when. You will have a suite of tools, software patterns, and recipes at your disposal to make your life easier. After reading, you will: - Understand the differences between Concurrency and Parallelism. - Identify and avoid concurrency issues like deadlock, starvation, livelock, and data races. - Understand the various concurrency interaction patterns and be able to apply the one that best fits the problem at hand. - Take a deep dive into Go's concurrency primitives and be able to apply them expertly but also avoid many of their gotchas. - Be able to diagnose concurrency and performance issues using Go's profiler, execution tracing, and benchmarking tools. - Be able to identify when code needs optimizing, what needs optimizing and how. - Have a catalog of concurrency and performance patterns that you can quickly apply to your projects.
This book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways to tackle them. You'll start by learning about the importance of using the right principles and standards in order to achieve the key benefits of microservice architecture. The following chapters will explain why the Go programming language is one of the most popular languages for microservice development and lay down the foundations for the next chapters of the book. You'll explore the foundational aspects of Go microservice development including service scaffolding, service discovery, data serialization, synchronous and asynchronous communication, deployment, and testing. After covering the development aspects, you'll progress to maintenance and reliability topics. The last part focuses on more advanced topics of Go microservice development including system reliability, observability, maintainability, and scalability. In this part, you'll dive into the best practices and examples which illustrate how to apply the key ideas to existing applications, using the services scaffolded in the previous part as examples. By the end of this book, you'll have gained hands-on experience with everything you need to develop scalable, reliable and performant microservices using Go.
Event-driven architecture in Golang is an approach used to develop applications that shares state changes asynchronously, internally, and externally using messages. EDA applications are better suited at handling situations that need to scale up quickly and the chances of individual component failures are less likely to bring your system crashing down. This is why EDA is a great thing to learn and this book is designed to get you started with the help of step-by-step explanations of essential concepts, practical examples, and more. You'll begin building event-driven microservices, including patterns to handle data consistency and resiliency. Not only will you learn the patterns behind event-driven microservices but also how to communicate using asynchronous messaging with event streams. You'll then build an application made of several microservices that communicates using both choreographed and orchestrated messaging. By the end of this book, you'll be able to build and deploy your own event-driven microservices using asynchronous communication.
Software engineers today typically put performance optimizations low on the list of development priorities. But despite significant technological advancements and lower-priced hardware, software efficiency still matters. With this book, Go programmers will learn how to approach performance topics for applications written in this open source language. How and when should you apply performance efficiency optimization without wasting your time? Authors Bartlomiej Plotka and Frederic Branczyk provide the tools and knowledge you need to make your system faster using fewer resources. Once you learn how to address performance in your Go applications, you'll be able to bring small but effective habits to your programming and development cycle.
100 Go Mistakes and How to Avoid Them puts a spotlight on common errors in Go code you might not even know you're making. You'll explore key areas of the language such as concurrency, testing, data structures, and more—and learn how to avoid and fix mistakes in your own projects.
Gin is a high-performance HTTP web framework used to build web applications and microservices in Go. This book is designed to teach you the ins and outs of the Gin framework with the help of practical examples. You'll start by exploring the basics of the Gin framework, before progressing to build a real-world RESTful API. Along the way, you'll learn how to write custom middleware and understand the routing mechanism, as well as how to bind user data and validate incoming HTTP requests. The book also demonstrates how to store and retrieve data at scale with a NoSQL database such as MongoDB, and how to implement a caching layer with Redis. Next, you'll understand how to secure and test your API endpoints with authentication protocols such as OAuth 2 and JWT. Later chapters will guide you through rendering HTML templates on the server-side and building a frontend application with the React web framework to consume API responses. Finally, you'll deploy your application on Amazon Web Services (AWS) and learn how to automate the deployment process with a continuous integration and continuous delivery (CI/CD) pipeline. By the end of this Gin book, you will be able to design, build, and deploy a production-ready distributed application from scratch using the Gin framework.
What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations.
This book is a compilation of practical examples, lessons and techniques for Go developers. The topics cover the software lifecycle from learning the fundamentals, to software testing, to distribution and monitoring. - Learn unit testing - Make lovely CLIs - Monitor services - Release with GitHub Actions - Ship it with Docker - Work out Goroutines
Go's 2022 introduction of generics opens up a whole new world of programming in Go. This book explains everything you need to know to start writing generic functions and types, including type parameters, constraints, and the accompanying changes to the standard library. It also offers some advice on how (and whether) you should transition your existing projects to using the new generics features.
Go's built-in support for testing puts tests front and centre of any software project, from command-line tools to sophisticated backend servers and APIs. This book will introduce you to all Go's testing facilities, show you how to use them to write tests for the trickiest things, and distils the collected wisdom of the Go community on best practices for testing Go programs. Crammed with hundreds of code examples, the book uses real tests and real problems to show you exactly what to do, step by step.
Are you an experienced Go developer that wants to be more productive? Do you want to write cleaner, faster, and easier to maintain code? Then the Beyond Effective Go book series is for you. This series is aimed at competent Gophers. It does not mess around with the basics but instead dives right into the daily problems that professional programmers face. Chiefly, how to write fast, robust applications and services that can be maintained and extended as requirements change. This book, Part 1 of the series, focuses on achieving high-performance code. You will learn which aspects of your application or code to focus on and when. You will have a suite of tools, software patterns, and recipes at your disposal to make your life easier. After reading, you will: - Understand the differences between Concurrency and Parallelism. - Identify and avoid concurrency issues like deadlock, starvation, livelock, and data races. - Understand the various concurrency interaction patterns and be able to apply the one that best fits the problem at hand. - Take a deep dive into Go's concurrency primitives and be able to apply them expertly but also avoid many of their gotchas. - Be able to diagnose concurrency and performance issues using Go's profiler, execution tracing, and benchmarking tools. - Be able to identify when code needs optimizing, what needs optimizing and how. - Have a catalog of concurrency and performance patterns that you can quickly apply to your projects.
Use Golang to create simple, maintainable systems to solve complex business problems. Domain-driven design (DDD) is one of the most sought-after skills in the industry. This book provides you with step-by-step explanations of essential concepts and practical examples that will see you introducing DDD in your Go projects in no time. Domain-Driven Design with Golang starts by helping you gain a basic understanding of DDD, and then covers all the important patterns, such as bounded context, ubiquitous language, and aggregates. The latter half of the book deals with the real-world implementation of DDD patterns and teaches you how to build two systems while applying DDD principles, which will be a valuable addition to your portfolio. Finally, you'll find out how to build a microservice, along with learning how DDD-based microservices can be part of a greater distributed system. Although the focus of this book is Golang, by the end of this book you'll be able to confidently use DDD patterns outside of Go and apply them to other languages and even distributed systems.
In Practical Go - Building Scalable Network + Non-Network Applications, you will learn to use the Go programming language to build robust, production-ready software applications. You will learn just enough to building command line tools and applications communicating over HTTP and gRPC. This practical guide will cover: - Writing command line applications - Writing a HTTP services and clients - Writing RPC services and clients using gRPC - Writing middleware for network clients and servers - Storing data in cloud object stores and SQL databases - Testing your applications using idiomatic techniques - Adding observability to your applications - Managing configuration data from your applications You will learn to implement best practices using hands-on examples written with modern practices in mind. With its focus on using the standard library packages as far as possible, Practical Go will give you a solid foundation for developing large applications using Go leveraging the best of the language's ecosystem.
In Black Hat Go, you'll learn how to write powerful and effective penetration testing tools in Go, a language revered for its speed and scalability. Start off with an introduction to Go fundamentals like data types, control structures, and error handling; then, dive into the deep end of Go's offensive capabilities.
In this book we will create a programming language together. We'll start with 0 lines of code and end up with a fully working interpreter for the Monkey* programming language. Step by step. From tokens to output. All code shown and included. Fully tested.
This is the sequel to Writing An Interpreter In Go. We're picking up right where we left off and write a compiler and a virtual machine for Monkey. Runnable and tested code front and center, built from the ground up, step by step — just like before. But this time, we're going to define bytecode, compile Monkey and execute it in our very own virtual machine. It's the next step in Monkey's evolution.
This Golang book distills industry best practices for writing lean Go code that is easy to test and maintain, and helps you to explore its practical implementation by creating a multi-tier application called Links 'R' Us from scratch. You'll be guided through all the steps involved in designing, implementing, testing, deploying, and scaling an application. Starting with a monolithic architecture, you'll iteratively transform the project into a service-oriented architecture (SOA) that supports the efficient out-of-core processing of large link graphs. You'll learn about various cutting-edge and advanced software engineering techniques such as building extensible data processing pipelines, designing APIs using gRPC, and running distributed graph processing algorithms at scale. Finally, you'll learn how to compile and package your Go services using Docker and automate their deployment to a Kubernetes cluster.
Web Development
The Go ecosystem is helping developers to build distributed and scalable systems efficiently. If you plan to jump into this fascinating world, you must know how Go can help you to build REST APIs, use SQL/NoSQL databases, data streaming platforms, gRPC, design your own CLIs, or how to log your programs efficiently just to mention a few. Build Systems with GO: Everything a Gopher Must Know is split into two blocks: the first explores the Go language and its standard library, the second one provides the reader with examples and explanations of the most powerful libraries to be used in any Go development. With more than 200 detailed and straight-forward examples available at GitHub, this book helps early adopters and experienced developers to have a real view of what a system built with Go looks like.