DotNet Full Stack Dev

Distributed Denial of Service (DDoS) attacks are a growing concern for web applications, including APIs. These attacks overwhelm your server by sending massive amounts of fake traffic, causing service disruptions for legitimate users. If you're building APIs with .NET Core , it's crucial to understand how to protect your services. In this blog, we'll explore how DDoS attacks work, prevention strategies, and practical solutions to secure your .NET Core API from such attacks. Let's dive in! 🛡️ What is a DDoS Attack? 🤔 A DDoS attack is a type of cyberattack where multiple sources flood a target system with fake traffic, exhausting its resources and rendering it unavailable to legitimate users. Unlike regular Denial of Service (DoS) attacks, DDoS attacks involve multiple machines, often part of a botnet. Key Characteristics: Volumetric Attacks : Overwhelming bandwidth or server capacity. Application Layer Attacks : Targeting specific application endpoints to overload th

Hello, .NET enthusiasts! 👋 Dependency Injection (DI) is one of the cornerstone features of .NET Core that makes applications modular, testable, and maintainable. You’ve probably used DI to register and resolve services, but did you know there are several lesser-known yet powerful features of DI in .NET Core? In this blog, we’ll explore some of these hidden gems, from conditional service registration to service provider scopes , and how they can make your DI container even more powerful. Let’s dive in! 🌊 1. Conditional Service Registration 🛠️ Have you ever needed to register a service based on some runtime conditions? With .NET Core , you can use IServiceCollection extensions to conditionally register services. Example: Register a service only if another one hasn’t been registered if (!services.Any(s => s.ServiceType == typeof (IMyService))) { services.AddSingleton<IMyService, MyService>(); } This ensures your application doesn’t accidentally overwrite an existing r

Hello there, curious coder! Today, we're diving into one of the behind-the-scenes marvels of .NET: the Garbage Collector (GC) . Think of the GC as the silent janitor in your .NET application—tirelessly cleaning up memory, freeing resources, and ensuring that your app runs smoothly without memory leaks. But how does it know what to throw away and what to keep? And what are these mysterious "generations" everyone talks about? Let's find out! First, What Exactly is Garbage Collection? Imagine you’re building a house. You bring in bricks, wood, and pipes to create rooms, but as construction continues, waste piles up—scraps, sawdust, empty containers. Eventually, you’ll need to clean up, or else you’ll run out of space. In .NET, as your application creates objects in memory (like those bricks and pipes), some of these objects become "garbage"—unused and no longer needed. The GC is the janitor that periodically goes through your application's memory and dispos

  JWTs are a game-changer for modern applications, providing a seamless way to balance security and scalability in the world of stateless authentication. So, the next time you see one of those funky-looking tokens, you’ll know that there’s more to them than meets the eye – it’s the secret to keeping you logged in, verified, and secure without a single server-side storage requirement. 1. What is JWT? JSON Web Token (JWT) is an open standard (RFC 7519) that defines a way to securely transmit information between two parties, usually a client and a server. A JWT is a compact, URL-safe token that represents a claim securely, and it typically consists of three parts: Header , Payload , and Signature . JWT Structure A JWT is structured as three base64-encoded strings separated by dots ( . ) like this: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9. eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ. SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c Header : This contains metadata a

Since its debut in C# 3.0, Language-Integrated Query (LINQ) has reshaped the way C# developers handle data. LINQ allows seamless querying across various data sources like collections, databases, and XML, directly within C#. With each C# release, LINQ has been enhanced to bring more power and flexibility to developers. This blog explores the new methods and capabilities added in each version, demonstrating how LINQ has evolved to meet the demands of modern applications. What is LINQ? LINQ (Language-Integrated Query) is a set of powerful query capabilities embedded into C# that enable developers to interact with data in a SQL-like syntax. By providing direct access to query operations such as filtering, sorting, grouping, and projecting, LINQ simplifies data manipulation, making code more readable and expressive. The LINQ Journey: From C# 3.0 to C# 10.0 Let’s embark on a journey to see how LINQ has grown over the years, with each version bringing new tools that make data handling more

  If you’re wondering whether async/await and multithreading can be used interchangeably, the answer is "not quite." While both are tools for handling tasks concurrently, they serve different purposes. Let's dive into why we need both and why they aren’t suited for the same examples. Key Difference: Task Type Matters To put it simply: Async/await is best for I/O-bound tasks that require waiting (e.g., network requests, file reading). Multithreading shines with CPU-bound tasks that require parallel processing power (e.g., data calculations, algorithms). They’re not interchangeable because each is optimized for different types of work. Using one in the wrong scenario can lead to inefficient code and wasted resources. Example: Downloading Content from Multiple URLs Let’s look at a real-world scenario: downloading content from multiple URLs. Since downloading involves making HTTP requests, this is an I/O-bound task — it mostly waits for the server’s response. Async/await

 In any application, error handling is the gatekeeper of smooth user experiences. It keeps our apps functional, stable, and user-friendly. But without a well-thought-out approach, error handling can quickly become a tangle of try-catch blocks scattered throughout the codebase, leading to messy, hard-to-maintain applications. Let’s uncover the secrets to handling errors globally in .NET applications and explore multiple approaches to keeping your error management neat, powerful, and highly maintainable. By the end of this post, you’ll have a toolkit of effective strategies, leaving you more confident in maintaining resilient applications. Approach 1: Using Custom Exception Middleware Middleware in .NET is a powerful component for centralized processing, and using a custom exception-handling middleware provides a straightforward way to handle errors globally. Instead of cluttering the code with try-catch blocks, we use middleware to capture and process exceptions centrally. Why This