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

Data-Processing Pipelines

"Inside every well-written large program is a well-written small program."
- Tony Hoare

Pipelines are a fairly standard and used way to segregate the processing of data into multiple stages. In this chapter, we will be exploring the basic principles behind data-processing pipelines and present a blueprint for implementing generic, concurrent-safe, and reusable pipelines using Go primitives, such as channels, contexts, and go-routines.

In this chapter, you will learn about the following:

  • Designing a generic processing pipeline from scratch using Go primitives
  • Approaches to modeling pipeline payloads in a generic way
  • Strategies for dealing with errors that can occur while a pipeline is executing
  • Pros and cons of synchronous and asynchronous pipeline design
  • Applying pipeline design concepts to building the Links 'R' Us crawler component...