Practical Rust 1.x Cookbook is an in-depth guide for experienced Rust programmers looking to create robust and efficient applications. This solution-focused book covers a wide range of topics, including command-line, webassembly, networking, kubernetes, microservices, and system programming.

This book includes over 100 real-world practical exercises that will teach you how to use the Rust compiler and command-line programming across every stage of software development. Each exercise is intended to reinforce Rust's potential for outperforming legacy applications and bridging the high performance gap. You'll learn about advanced solutions like asynchronous functions, API testing, CI/CD pipelines, Fuzz testing, and microservices architecture as you read the book. You'll also have the chance to put your knowledge to use by solving complex concurrent and parallel code challenges. You'll also get hands-on experience with many of Rust's built-in frameworks and libraries.

Practical Rust 1.x Cookbook is a must-have for both experienced and inexperienced Rust programmers looking to create high-performance and robust applications. This book will help you stay ahead of the curve in Rust programming by providing clear explanations, practical examples, and step-by-step illustrations. Get your copy today and start making the apps you've always wanted to make!

Key Learnings

• Employing declarative and procedural macros, pattern matching, and enums


• Create and test asynchronous code, error handling, and communication patterns.


• Working with deadlocks and livelocks, as well as implementing hash maps and parallel algorithms


• SOAP and REST API development, API orchestration, and performance monitoring


• API layering, middleware programming, and end-to-end API testing


• CI/CD, Docker registry, Kubernetes cluster, YAML files, and load balancers configuration


• Working with fuzz testing, checking syntax, and identifying code vulnerabilities

Table of Content

1. Setting Up and Configuring Rust Environment


2. Hands-on Traits, Enums and Struct


3. Pattern Matching, Concurrency, Pointers and Modules


4. Using Declarative and Procedural Macros


5. Implementing Concurrency and Multithreading


6. Asynchronous Programming


7. Developing REST and SOAP APIs


8. Building Microservices and Architectures


9. Working around CI/CD


10. Working around Kubernetes


11. Fuzz Testing and Static Analysis


12. Code Performance Optimization