Book Image

Hands-On Software Engineering with Golang

By : Achilleas Anagnostopoulos
Book Image

Hands-On Software Engineering with Golang

By: Achilleas Anagnostopoulos

Overview of this book

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.
Table of Contents (21 chapters)
1
Section 1: Software Engineering and the Software Development Life Cycle
3
Section 2: Best Practices for Maintainable and Testable Go Code
7
Section 3: Designing and Building a Multi-Tier System from Scratch
14
Section 4: Scaling Out to Handle a Growing Number of Users
18
Epilogue

The Art of Testing

"Program testing can be used to show the presence of bugs, but never to show their absence!"
- Edsger Dijkstra

Software systems are destined to grow and evolve over time. Open or closed source software projects have one thing in common: their complexity seems to follow an upward curve as the number of engineers working on the code base increases. To this end, having a comprehensive set of tests for the code base is of paramount importance. This chapter performs a deep dive into the different types of testing that can be applied to Go projects.

The following topics will be covered in this chapter:

  • Identifying the differences between high-level primitives such as stubs, mocks, spies, and fake objects that you can use while writing unit tests as substitutes for objects that are used inside the code under test
  • Comparing black-box and white-box testing...