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

Building a graph processing system in Go

There is no better way to gain a deeper understanding of the BSP model principles than to build, from scratch, our very own scalable Pregel-like graph processing system in Go.

Here are a few of the design requirements for the system we will be building:

  • Graphs will be represented as a collection of vertices and directed edges. Each vertex will be assigned a unique ID. In addition, both vertices and edges can optionally store a user-defined value.
  • At every super-step, the system executes a user-defined compute function for every vertex in the graph.
  • Compute functions are allowed to inspect and modify the internal state of the vertex they are invoked on. They can also iterate the list of outgoing edges and exchange messages with other vertices.
  • Any outgoing messages that are produced during a super-step will be buffered and delivered to...