Book Image

Hands-On System Programming with Go

By : Alex Guerrieri
Book Image

Hands-On System Programming with Go

By: Alex Guerrieri

Overview of this book

System software and applications were largely created using low-level languages such as C or C++. Go is a modern language that combines simplicity, concurrency, and performance, making it a good alternative for building system applications for Linux and macOS. This Go book introduces Unix and systems programming to help you understand the components the OS has to offer, ranging from the kernel API to the filesystem. You'll then familiarize yourself with Go and its specifications. You'll also learn how to optimize input and output operations with files and streams of data, which are useful tools in building pseudo-terminal applications. You'll gain insights into how processes communicate with each other, and learn about processes and daemon control using signals, pipes, and exit codes. This book will also enable you to understand how to use network communication using various protocols, including TCP and HTTP. As you advance, you'll focus on Go's best feature - concurrency, which will help you handle communication with channels and goroutines, other concurrency tools to synchronize shared resources, and the context package to write elegant applications. By the end of this book, you will have learned how to build concurrent system applications using Go
Table of Contents (24 chapters)
Free Chapter
1
Section 1: An Introduction to System Programming and Go
5
Section 2: Advanced File I/O Operations
9
Section 3: Understanding Process Communication
14
Section 4: Deep Dive into Concurrency
19
Section 5: A Guide to Using Reflection and CGO

Sequencing with pipelines

A pipeline is a way of structuring the application flow, and is obtained by splitting the main execution into stages that can talk with one another using certain means of communication. This could be either of the following:

  • External, such as a network connection or a file
  • Internal to the application, like Go's channels

The first stage is often referred to as the producer, while the last one is often called the consumer.

The set of concurrency tools that Go offers allows us to efficiently use multiple CPUs and optimize their usage by blocking input or output operations. Channels in particular are the perfect tools for internal pipeline communication. They can be represented by functions that receive an inbound channel and return an outbound one. The base structure would look something like this:

func stage(in <-chan interface{}) <...