Book Image

Hands-On Microservices with Rust

By : Denis Kolodin
Book Image

Hands-On Microservices with Rust

By: Denis Kolodin

Overview of this book

Microservice architecture is sweeping the world as the de facto pattern for building web-based applications. Rust is a language particularly well-suited for building microservices. It is a new system programming language that offers a practical and safe alternative to C. This book describes web development using the Rust programming language and will get you up and running with modern web frameworks and crates with examples of RESTful microservices creation. You will deep dive into Reactive programming, and asynchronous programming, and split your web application into a set of concurrent actors. The book provides several HTTP-handling examples with manageable memory allocations. You will walk through stateless high-performance microservices, which are ideally suitable for computation or caching tasks, and look at stateful microservices, which are filled with persistent data and database interactions. As we move along, you will learn how to use Rust macros to describe business or protocol entities of our application and compile them into native structs, which will be performed at full speed with the help of the server's CPU. Finally, you will be taken through examples of how to test and debug microservices and pack them into a tiny monolithic binary or put them into a container and deploy them to modern cloud platforms such as AWS.
Table of Contents (19 chapters)

Summary

In this chapter, we looked at how to use thread pools in microservices. We investigated three approaches: using plain threads, using the futures-cpupool crate, and using the tokio-threadpool crate. We used channels from the futures crate to interact with threads from asynchronous code. Special crates do all the interaction automatically; all you need to do is call a function that will be executed in a separate thread.

Also, we got acquainted with the actix crate and the actors model, which helps to split and run tasks as separate units that are managed by a smart runtime.

In the next chapter, we'll learn how to interact with different databases using Rust, including PostgreSQL, MySQL, Redis, MongoDB, and DynamoDB.