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Rust for Network Programming & Automation: Design & Optimize

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Rust for Network Programming & Automation: Design & Optimize

Boost your systems and infrastructure skills with this powerful rust network programming automation guide. Learn how to use Rust to build efficient, safe, and high-performance networking applications, and automate complex infrastructure workflows. This course is perfect for network engineers, DevOps professionals, and systems developers who want to leverage Rust’s speed, safety, and concurrency.

What You’ll Learn

  • Core concepts of network programming with Rust
  • Building TCP, UDP, and asynchronous network applications
  • Using Rust libraries like Tokio and async-std
  • Developing secure and high-performance network tools
  • Automating configuration and deployment tasks with Rust
  • Writing efficient system scripts and daemons
  • Optimizing performance and error handling

Requirements

  • Familiarity with networking protocols (TCP/IP, UDP)
  • Basic knowledge of Rust or systems programming
  • Comfortable using the command line and a code editor

Course Description

This rust network programming automation course introduces the power of Rust for developing low-level, scalable, and safe network applications. Starting with Rust fundamentals, you’ll quickly dive into building TCP/UDP clients and servers, managing asynchronous I/O, and working with essential crates like tokio, hyper, and reqwest.

Next, the course transitions into real-world automation use cases—network scanning, log processing, service monitoring, and configuration management—where Rust’s safety and speed really shine. You’ll write small yet powerful Rust-based tools that integrate seamlessly into DevOps pipelines and cloud-native environments.

By the end of this course, you’ll be capable of designing reliable, performant networking solutions and infrastructure automation tools using Rust’s modern, memory-safe ecosystem.

About the Instructor

Created by seasoned systems programmers and Rustaceans with hands-on experience in network engineering, this course is structured to blend theory, coding, and applied automation strategies. You’ll gain practical insights and robust design patterns used in production environments.

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