A passionate developer and writer, creating step-by-step tutorials on Rust programming. Simplifying complex concepts to help others master Rust through clear, easy-to-follow articles.
Rust is a systems programming language known for its emphasis on safety, performance, and concurrency. One of the core concepts you'll frequently encounter is the idea of collections. In Rust, arrays and vectors are fundamental data structures that allow you to store multiple elements in a single variable.
Concurrency in Rust is one of its most powerful features, allowing you to write highly performant programs that make full use of multi-core processors. However, working with shared mutable state across threads can be tricky. Rust’s Arc and Mutex types help ensure data safety and synchronization, but handling concurrent
In Rust, concurrency is a powerful tool for improving performance, but it comes with its challenges—primarily around data safety and synchronization. The Arc and Mutex types from the standard library are two key tools that help manage shared data across threads. But how do they work together, and how
In software development, keeping different parts of your application in sync can be tricky. How can you ensure that one part of your code is automatically updated when something else changes? This is where the Observer Pattern comes in handy, allowing an object (the subject) to notify other objects (the
When working with Rust, one of its key features is the ownership model, which ensures memory safety without the need for a garbage collector. Rust automatically handles memory deallocation when an object goes out of scope. However, you can take control of this deallocation process yourself using the Drop trait.
In software development, writing clear and expressive code is paramount. One design pattern that helps achieve this is the Builder Pattern, often paired with a Fluent Interface. This combination allows you to create complex objects step-by-step while maintaining readability and conciseness. In this guide, we'll walk through how
When building web applications, you might need to allow or restrict resources shared across different domains. This is where CORS (Cross-Origin Resource Sharing) comes into play. CORS is a security feature that restricts how resources on a web server can be requested from another domain. In this article, we will
In modern web development, performance is crucial. Users expect fast and responsive applications, and developers must ensure that APIs handle increasing loads efficiently. One powerful technique to achieve this is caching, which can significantly reduce the load on your server by temporarily storing data for quicker retrieval. In this article,
When building web APIs in Rust, Axum has become a popular choice for creating fast, type-safe, and efficient web applications. But how do we ensure that our Axum APIs are working as expected? The answer lies in writing unit tests and integration tests. In this tutorial, we’ll walk through
When building web applications in Rust using the Axum framework, ensuring that the data your server receives is both valid and safe is a top priority. Request validation and data sanitization are essential steps in protecting your app from invalid inputs and malicious attacks like SQL injection or cross-site scripting
If you're building real-time applications in Rust, you might have come across Axum, the powerful web framework built on top of hyper and tokio. While Axum is known for its simplicity and performance, one thing that might seem tricky is integrating WebSockets, a key technology for creating real-time,
In this guide, we'll dive into asynchronous streaming in Rust using the Axum web framework. Asynchronous programming in Rust allows for efficient handling of I/O-bound tasks, and streaming data asynchronously enables real-time communication with clients without waiting for the entire response to be ready. This is perfect