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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

System requirements

Each feature we’ll cover is crucial to building a robust and high-performing distributed cache system. By understanding and implementing these features, you will gain a comprehensive understanding of the intricacies involved in distributed caching.

At the heart of a distributed cache is its in-memory storage capability. In-memory storage allows for fast data access, significantly reducing the latency compared to disk-based storage. This feature is particularly important for applications that require high-speed data retrieval. Let’s explore our project requirements.

Requirements

Welcome to the delightful world of requirements! Now, before you roll your eyes and groan about another tedious checklist, let’s set the record straight. Requirements aren’t figments of some overly ambitious product manager’s imagination. They’re intentional choices that shape the very essence of what you’re building. Think of them...

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