Explore software engineering methodologies, techniques, and best practices in Go programming to build easy-to-maintain software that can effortlessly scale on demand
Key Features
- Apply best practices to produce lean, testable, and maintainable Go code to avoid accumulating technical debt
- Explore Go's built-in support for concurrency and message passing to build high-performance applications
- Scale your Go programs across machines and manage their life cycle using Kubernetes
Book Description
Over the last few years, Go has become one of the favorite languages for building scalable and distributed systems. Its opinionated design and built-in concurrency features make it easy for engineers to author code that efficiently utilizes all available CPU cores.
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.
By the end of this book, you'll know how to think like a professional software developer or engineer and write lean and efficient Go code.
What you will learn
- Understand different stages of the software development life cycle and the role of a software engineer
- Create APIs using gRPC and leverage the middleware offered by the gRPC ecosystem
- Discover various approaches to managing package dependencies for your projects
- Build an end-to-end project from scratch and explore different strategies for scaling it
- Develop a graph processing system and extend it to run in a distributed manner
- Deploy Go services on Kubernetes and monitor their health using Prometheus
Who this book is for
This Golang programming book is for developers and software engineers looking to use Go to design and build scalable distributed systems effectively. Knowledge of Go programming and basic networking principles is required.
Table of Contents
- A Bird's-Eye View of Software Engineering
- Best Practices for Writing Clean and Maintainable Go Code
- Dependency Management
- The Art of Testing
- The Links 'R' Us Project
- Building a Persistence Layer
- Data-Processing Pipelines
- Graph-Based Data Processing
- Communicating with the Outside World
- Building, Packaging, and Deploying Software
- Splitting Monoliths into Microservices
- Building Distributed Graph-Processing Systems
- Metrics Collection and Visualization
- Epilogue
Achilleas Anagnostopoulos has been writing code in a multitude of programming languages since the mid 90s. His main interest lies in building scalable, microservice-based distributed systems where components are interconnected via gRPC or message queues. Achilleas has over 4 years of experience building production-grade systems using Go and occasionally enjoys pushing the language to its limits through his experimental gopher-os project: a 64-bit kernel written entirely in Go. He is currently a member of the Juju team at Canonical, contributing to one of the largest open source Go code bases in existence.
