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System Programming Essentials with Go

System Programming Essentials with Go

By : Alex Rios
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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

Developing a log processing tool

Having covered the fundamentals of pipes in IPC and best practices for their use in Go, let’s explore more advanced topics. We will explore a scenario where pipes can be effectively utilized and see how Go’s concurrency model complements these use cases. This section aims to give you practical insights into leveraging pipes for sophisticated system programming tasks.

In the next example, we’ll develop a simple real-time log processing tool. This tool will read log data from a file (simulating a log file being written by another process), process the log entries (for example, filtering based on severity), and then output the results to the console.

First, we create a filterLogs() function that reads logs from the reader, filters them, and writes to the writer:

func filterLogs(reader io.Reader, writer io.Writer) {
   scanner := bufio.NewScanner(reader)
   for scanner.Scan() {
   ...

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