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

Chapter 10

  1. Some of the benefits of containerization are as follows:
    • The same container image can run on a local development machine or a cloud instance
    • It is trivial to deploy a new version of a piece of software and perform a rollback if something goes wrong
    • It introduces an extra layer of security as applications are isolated from both the host and other applications
  1. Master nodes implement the control plane of a Kubernetes cluster. Worker nodes pool their resources (CPUs, memory, disks, GPUs, and so on) and execute the workloads that have been assigned to them by the master nodes.
  2. A regular Kubernetes service acts as a load balancer for distributing incoming traffic to a collection of pods. Regular services are reachable via the cluster IP address that's assigned to them by Kubernetes. A headless service provides the means for implementing a custom service discovery...