Blogs on 'asp dot net' tag
-
Machine Learning with .NET – A Complete Guide for Developers
Machine Learning is no longer limited to Python ecosystems. With the power of the .NET platform, developers can build, train, and deploy ML models directly with
-
Implement Redis Cache in ASP.NET Core API
Caching is one of the most effective ways to improve application performance and scalability. When building high-performance APIs in ASP.NET Core, integrating R
-
Implement OAuth Authentication in .NET Core (Step-by-Step Guide)
Authentication is a critical part of any modern web application. Instead of building authentication from scratch, developers often rely on OAuth 2.0, a secure a
-
OpenTelemetry in .NET Core: A Complete Guide for Modern Observability
what’s happening inside your application is just as important as building it. This is where OpenTelemetry comes in—an open-source, vendor-neutral standard for c
-
ASP.NET Core Middleware – Complete Guide
ASP.NET Core Middleware is a core concept in ASP.NET Core that defines how HTTP requests and responses are handled in a web application.
-
Repository Pattern in ASP.NET MVC – Why, When, and How to Use It
When working with ASP.NET MVC, developers often directly use Entity Framework inside controllers, which makes the code tightly coupled and hard to maintain.
-
LLD for refer or referal code service
Below is LLD (Low Level Design) for Referral / Refer Code Service suitable for .NET / Java / Node / Microservice / MVC architecture.
-
Deadlock in SQL Server
Deadlock in SQL Server is one of the most common problems in database-driven applications, especially in large systems where multiple users access the same data
-
Write Secure API in .NET Core
When you create APIs using ASP.NET Core, you must ensure that your API is protected from unauthorized access, data leaks, and attacks like SQL Injection, XSS.
-
Implementing a Worker Service for Newsletter Service in .NET
Sending newsletters is a classic background task. You don’t want email delivery to block HTTP requests, slow down users, or fail silently when traffic spikes. T