Over the last few years, Go has gradually turned into one of the industry's favorite languages for building scalable and distributed systems. The language's opinionated design and built-in concurrency features make it relatively easy for engineers to author code that efficiently utilizes all available CPU cores.
This book distills the industry's best practices for writing lean Go code that is easy to test and maintain and explores their practical implementation by creating a multi-tier application from scratch called 'Links 'R' Us.' You will be guided through all the steps involved in designing, implementing, testing, deploying, and scaling the application. You'll start with a monolithic architecture and iteratively transform the project into a Service-Oriented Architecture (SOA) that supports efficient out-of-core processing of large link graphs. You will learn about various advanced and cutting-edge software engineering techniques such as building extensible data-processing pipelines, designing APIs using gRPC, and running distributed graph processing algorithms at scale. Finally, you will 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 will start to think like a professional developer/engineer who can put theory into practice by writing lean and efficient Go code.
