Marinko Spasojevic’s Post

🎯 Unlock the power of Dotnet Embedded Resources! In my new article, I explore techniques for efficient resource handling in .NET. Dive into the details here: 🚀 #development #dotnetcore

I'm excited to share that I've published a comprehensive article on Medium about optimizing .NET reflection. 😀 This article is designed to help .NET developers harness the power of reflection while maintaining optimal performance. Whether you're working on performance-critical applications or just curious about the intricacies of .NET, I believe you'll find valuable insights. Check out the full article on Medium: https://lnkd.in/e_i6KuAb Here's a brief overview of what you'll find: · In-depth Analysis: Explore the performance implications of using reflection in .NET applications. · Practical Use Cases: Learn about common scenarios where reflection is crucial, including plugin architectures, serialization, and ORM systems. · Optimization Strategies: Discover techniques to improve reflection performance, from caching to using Expression Trees and RuntimeCompilers. · Performance Measurement: Get insights into tools like BenchmarkDotNet and Visual Studio Performance Profiler for identifying bottlenecks. · Advanced Techniques: Delve into unconventional approaches like IL code injection and manual inlining for specific high-performance scenarios. · Best Practices: Find guidance on balancing flexibility and performance when using reflection in your .NET projects. Some of these were really helpful to optimize the API performance in the M365 enterprise license modernization I had written about in this article - https://lnkd.in/e-X5RCrU I'd love to hear your thoughts and experiences with reflection in .NET. Have you faced any performance challenges or found innovative ways to optimize reflection in your projects? 💡 #dotnet #csharp #reflection #performance #visualstudio #runtime #Microsoft

Something interesting I found on one of my programming rabbit holes is the JavaScript Channel Messaging API https://lnkd.in/ebjr549K It's kinda cool to have message passing in the browser. Even more interesting is it's not only used in Iframe communication but can be used as an optimization technique like in React

🚀 Synchronous vs. Asynchronous in ASP.NET Core: What’s the Difference? In software development, understanding the difference between synchronous and asynchronous processing is crucial for building efficient and scalable applications. Here’s a quick breakdown: 🔹 Synchronous: • Tasks are executed sequentially, one at a time. • Each task blocks the thread until it completes, leading to potential delays. • Simple but inefficient for handling high-concurrency or I/O-intensive workloads. 🔹 Asynchronous: • Tasks can run concurrently without blocking the main thread. • Ideal for improving responsiveness and scalability in modern web applications. • Powered by constructs like async/await in ASP.NET Core to manage non-blocking operations seamlessly. Why Go Asynchronous? Asynchronous programming empowers applications to handle more requests, optimize resource usage, and maintain responsiveness even under heavy loads. It’s a game-changer for high-performance applications!

Logging is crucial, especially for complex applications. It offers several benefits, such as monitoring for issues in the application and gaining insights into how users interact with our software. In this post, I'll outline the use of built-in logging and Serilog, one of the popular logging frameworks for ASP.NET Core. 🔗 https://lnkd.in/gjpMjmMw

Dependency Injection (DI) promotes flexibility, maintainability, and testability in modern software development. Interested in learning about using DI in your ASP.NET Core projects? Check out the details! https://lnkd.in/eB7SAGRD #SoftwareDevelopment #DependencyInjection #ASPNETCore

10 Lessons I Learned from Using #Aspire in Production #dotnet https://lnkd.in/gKYCuf6X

🚀 Understanding Dependency Injection in .NET 🚀 Are you new to Dependency Injection or looking to deepen your understanding of how it works in .NET? In this document, I break down the core concepts of DI, its benefits, good practices and how it works in .NET ecosystem. Learn how to simplify your code, increase testability, and improve maintainability by leveraging DI in your .NET applications. Check out the document for practical examples and tips on implementing DI effectively! #dotnet #dependencyinjection #codingtips #softwaredevelopment #aspnetcore

𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐓𝐡𝐫𝐞𝐚𝐝𝐢𝐧𝐠 𝐢𝐧 .𝐍𝐄𝐓: 𝐓𝐚𝐬𝐤𝐬 𝐯𝐬. 𝐓𝐡𝐫𝐞𝐚𝐝𝐬 When it comes to building efficient applications in .NET, understanding the difference between Tasks and Threads is crucial. Think of it like choosing between driving a manual car (Threads) and an automatic one (Tasks). While driving a manual car gives you more control over every gear shift, it requires more effort and attention. In contrast, an automatic car simplifies the driving experience, allowing you to focus on the road rather than the mechanics. 𝐊𝐞𝐲 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬: 𝐓𝐡𝐫𝐞𝐚𝐝𝐬: These are low-level constructs that give you granular control over execution. You can manage thread lifecycles, priorities, and more, which is great for scenarios where precision is needed. However, with that control comes complexity—managing synchronization and potential pitfalls like deadlocks can be tricky. 𝐓𝐚𝐬𝐤𝐬:  These are high-level abstractions that simplify asynchronous programming. When you use Tasks, .NET handles much of the complexity for you, allowing you to write cleaner, more efficient code. Tasks are ideal for I/O-bound operations, where you want your application to remain responsive while waiting for resources. 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬: 𝐓𝐡𝐫𝐞𝐚𝐝𝐬 are best suited for scenarios where you need fine-grained control over execution, like managing background services or performing complex computations that require dedicated resources. 𝐓𝐚𝐬𝐤𝐬 are perfect for simpler asynchronous operations, such as making API calls or processing user inputs. They allow you to write non-blocking code that can enhance user experience by keeping applications responsive. By choosing the right approach based on your application's needs, you can build faster, more scalable solutions.