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

Deploying a distributed version of the Links 'R' Us PageRank calculator

The PageRank calculator is the only component of the Links 'R' Us project that we haven't yet been able to horizontally scale on Kubernetes. Back in Chapter 8, Graph-Based Data Processing, where we used the bspgraph package to implement the PageRank algorithm, I promised you that a few chapters down the road, we would take the PageRank calculator code, and without any code modifications, enable it to run in distributed mode.

After completing this chapter, I strongly recommend, as a fun learning exercise, taking a look at using the dbspgraph package to build a distributed version of either the graph coloring or the shortest path algorithms from Chapter 8, Graph-Based Data Processing.

In this section, we will leverage all of the work we have done so far in this chapter to achieve this...