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
Section 1: An Introduction to System Programming and Go
Section 2: Advanced File I/O Operations
Section 3: Understanding Process Communication
Section 4: Deep Dive into Concurrency
Section 5: A Guide to Using Reflection and CGO

Combining channels and goroutines

Now that we know the fundamental tools and properties of Go concurrency, we can use them to build better tools for our applications. We will see some examples that make use of channels and goroutines to solve real-world problems.

Rate limiter

A typical scenario is having a web API that has a certain limit to the number of calls that can be done in a certain period of time. This type of API will just prevent the usage for a while if this threshold is crossed, making it unusable for the time being. When creating a client for the API, we need to be aware of this and make sure our application does not overuse it.

That's a very good scenario where we can use time.Ticker to define...