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System Programming Essentials with Go

System Programming Essentials with Go

By : Alex Rios
5 (5)
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System Programming Essentials with Go

System Programming Essentials with Go

5 (5)
By: Alex Rios

Overview of this book

Alex Rios, a seasoned Go developer and active community builder, shares his 15 years of expertise in designing large-scale systems through this book. It masterfully cuts through complexity, enabling you to build efficient and secure applications with Go's streamlined syntax and powerful concurrency features. In this book, you’ll learn how Go, unlike traditional system programming languages (C/C++), lets you focus on the problem by prioritizing readability and elevating developer experience with features like automatic garbage collection and built-in concurrency primitives, which remove the burden of low-level memory management and intricate synchronization. Through hands-on projects, you'll master core concepts like file I/O, process management, and inter-process communication to automate tasks and interact with your system efficiently. You'll delve into network programming in Go, equipping yourself with the skills to build robust, distributed applications. This book goes beyond the basics by exploring modern practices like logging and tracing for comprehensive application monitoring, and advance to distributed system design using Go to prepare you to tackle complex architectures. By the end of this book, you'll emerge as a confident Go system programmer, ready to craft high-performance, secure applications for the modern world.
Table of Contents (24 chapters)
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Free Chapter
1
Part 1: Introduction
4
Part 2: Interaction with the OS
10
Part 3: Performance
13
Part 4: Connected Apps
17
Part 5: Going Beyond

Real-world applications

The best way to truly grasp the power of Go in system programming is to see it in the wild. Let’s explore real-world use cases where Go has been successfully employed to build robust and efficient systems.

Dropbox’s leap of faith

“Python is perfect for everything, right?” Ah, the sweet sound of naive optimism. You know – the kind you hear just before a catastrophic performance bottleneck in your monolithic Python code base. But hey, at least it was quick to write; am I right?

You know, migrating from Python to Go is a bit like swapping out a skateboard for a Formula One race car. Sure – both get you from point A to B, but one does it with a heck of a lot more speed and precision. And let’s face it, who doesn’t love the thrill of a roaring engine, especially when it means your cloud storage service can handle millions of concurrent users?

Dropbox, the beloved cloud storage giant, found itself...

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