Dmytro Mieshkov’s Post

Dependency Injection isn’t just a buzzword, it’s how you write flexible, testable, and maintainable code. #DependencyInjection #CleanCode #SoftwareEngineering #CSharp #DotNet #ProgrammingTips #DesignPatterns #CodeQuality #SoftwareDevelopment #TechCommunity #Developers #CodingBestPractices #InversionOfControl #UnitTesting

🚀 Today’s Post | Interview Question #36 Dependency Injection Lifecycles in .NET 🧐 Here’s your quick guide to DI in .NET Core: 🔹 Singleton ♾️ ✅ One instance for the entire application ✅ Perfect for stateless, shared services (e.g., Logger) ❌ Dangerous for storing state! 🔹 Scoped 🔄 ✅ One instance per user request (e.g., in a web app) ✅ Ideal for Entity Framework DbContexts ❌ Not thread-safe outside a request 🔹 Transient ⚡ ✅ A new instance is created every time it’s requested ✅ Great for lightweight, stateless services ❌ Can cause memory overhead if overused 💡 Quick Recap: Singleton = Shared, global state Scoped = Per user session/request Transient = Always new, never shared Mastering these lifecycles will level up your architecture and prevent nasty bugs. 🚀 👉 Which lifecycle do you use the most in your projects? 🔑 Hashtags #DotNet #DotNetCore #DependencyInjection #SoftwareArchitecture #Programming #BackendDevelopment #WebDevelopment #Microservices #Coding #SoftwareDevelopment #Tech #CodeNewbie #LearnToCode

✒️ SOLID principle in object-oriented programming: 👉 The SOLID principles are five design principles that help developers build maintainable, scalable, and flexible software. #PHP #programming #softwaredesign #oops #objectOriented #Software

🚀 𝗔𝘀𝘆𝗻𝗰/𝗔𝘄𝗮𝗶𝘁 𝗶𝗻 .𝗡𝗘𝗧 One of the most common questions I get from developers is: "𝘞𝘩𝘺 𝘴𝘩𝘰𝘶𝘭𝘥 𝘐 𝘶𝘴𝘦 𝘢𝘴𝘺𝘯𝘤/𝘢𝘸𝘢𝘪𝘵 𝘪𝘯 .𝘕𝘌𝘛? 𝘊𝘢𝘯’𝘵 𝘐 𝘫𝘶𝘴𝘵 𝘣𝘭𝘰𝘤𝘬 𝘵𝘩𝘦 𝘵𝘩𝘳𝘦𝘢𝘥 𝘶𝘯𝘵𝘪𝘭 𝘪𝘵 𝘧𝘪𝘯𝘪𝘴𝘩𝘦𝘴?" Here’s a simple way to look at it 👇 Imagine you walk into a pizza shop and order a pizza: ❌ 𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝘄𝗮𝘆: You stand at the counter waiting until the pizza is baked. You do nothing else. Waste of time! ✔️ 𝗔𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝘄𝗮𝘆: You place the order, get a buzzer/token, and while the pizza is baking, you sit, chat with friends, or scroll LinkedIn. When it’s ready, the buzzer notifies you. This is exactly what async/await does in .NET. 💡 Pro tip: Use async/await for I/O-bound work (like DB calls, file I/O, API calls). For CPU-heavy work, consider background tasks or parallelism. #dotnet #aspnetcore #csharp #netcore #asyncawait #dotnetdeveloper #entityframework #efcore #dapper #cleanarchitecture #webdevelopment #fullstackdeveloper #softwareengineering #programming #backenddevelopment #cloudcomputing #devcommunity #innovation #technology #careerdevelopment

🛡️ Leveraging ConcurrentBag<T> for Thread-Safe, Unordered Collections in C# In the realm of multithreaded programming, managing shared data efficiently and safely is paramount. The .NET framework offers several concurrent collections, and among them, ConcurrentBag<T> stands out for specific use cases. 🔍 What is ConcurrentBag<T>? ConcurrentBag<T> is a thread-safe, unordered collection designed for scenarios where multiple threads need to add and remove items concurrently. Unlike ConcurrentQueue<T> or ConcurrentStack<T>, it does not guarantee the order of elements, making it ideal for situations where order is not a concern. ✅ When to Use ConcurrentBag<T> Consider using ConcurrentBag<T> when: Multiple threads need to add and remove items concurrently. Order of elements is not important. You require a thread-safe collection without the overhead of explicit locking. ⚠️ When Not to Use It Avoid ConcurrentBag<T> if: You need to preserve the order of elements. Frequent enumeration of the collection is required, as it may not reflect the current state due to its unordered nature. 🧠 Performance Considerations ConcurrentBag<T> is optimized for scenarios where the same thread will be both producing and consuming data stored in the bag. It employs thread-local storage to minimize contention, making it highly efficient for such use cases. 📚 Learn More For a deeper dive into ConcurrentBag<T> and other concurrent collections in .NET, check out the official documentation. In this example, multiple threads add items to the bag concurrently, and another part of the program consumes them. #CSharp #DotNet #Concurrency #Multithreading #SoftwareDevelopment #ProgrammingTips #ThreadSafety #ConcurrentBag #DotNetCore #TechCommunity

I’ve been exploring the use of CancellationToken in C# to help make APIs and applications more responsive and resource-efficient. It’s impressive how this approach allows cancelling long-running tasks - whether database queries, file processing, external service calls, or complex computations - which can help save server resources and improve user experience. Libraries like EF Core and Dapper already incorporate this support, but the technique can be valuable in many other scenarios as well. Sharing this in hopes it might be helpful to others working with .NET! Interested? Let’s explore how to fully leverage this feature together. "Why complicate? Just .NET it!" #dotnet #csharp #async #CancellationToken #apidevelopment #efcore #dapper #programming #softwaredevelopment #dotnetcore #webapi

Smart use of CancellationToken can make your APIs leaner and more responsive. A must-know for modern .NET devs. 👇 #dotnet #csharp #webapi

👉 🚀 Memory management made easy with .NET Garbage Collection (GC)! In .NET, developers don’t need to manually free memory. The Garbage Collector (GC) automatically: ✅ Identifies unused objects ✅ Reclaims memory ✅ Compacts live objects to avoid fragmentation I’ve prepared a short guide that covers: 🔹 GC phases: Marking, Relocating, Compacting 🔹 The Generational approach (Gen 0, Gen 1, Gen 2) 🔹 Object lifecycle with examples 🔹 Best practices (Dispose, SuppressFinalize) This makes .NET applications efficient, stable, and easier to maintain 💡 📄 Check out my detailed PDF to learn more! #DotNet #CSharp #GarbageCollection #MemoryManagement #Learning #DotNetCore #InterviewPreperation #BackendDevelopment #Programming #SoftwareDevelopment #Coding #Performance #SystemDesign #TechTips #Developers

How well do you understand Asynchronous Programming Patterns in .NET? 🤔 This diagram outlines the core concepts and benefits of async/await, Task Parallel Library (TPL), and how they enable responsive UIs, scalability, and efficient resource use in .NET applications. What's your go-to strategy for handling complex asynchronous flows in your .NET projects? Share your insights! #DotNet #AsynchronousProgramming #AsyncAwait #SoftwareDevelopment #TechInsights #Csharp

🚀 Choosing the right collection in C# is not about memorizing APIs - it’s about understanding trade-offs. From List<T> to IQueryable<T>, each type has unique strengths and weaknesses. Mastering them means writing faster, safer, and more maintainable code. Let's check it, shall we? "Why complicate? Just .NET it!" #CSharp #DotNet #CleanCode #ProgrammingTips #SoftwareEngineering #CodeQuality #BackendDevelopment #Developers #LearningCSharp