Hands-On Software Engineering with Golang by Achilleas Anagnostopoulos

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 forThis 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