We are living in an era where innovation reigns supreme, so choosing the right tools to bring your applications to life is important. As developers, understanding the thrill of crafting robust and seamless applications behind the scenes is quite necessary. Therefore, the art of backend development requires careful selection of the perfect server-side programming language. From the elegant versatility of Python to the ubiquitous scalability of JavaScript, each language has its own unique strengths.

As part of the release of.NET Core 2.0, there are also some updates to ASP.NET. Among these is the addition of a new web framework for creating a “page” without the full complexity of ASP.NET MVC. New Razor Pages are a slimmer version of the MVC framework and, in some ways, an evolution of the old “.aspx” WebForms. In this article, we are going to delve into some of the finer points of using ASP.NET Razor Pages versus MVC.

Just conducting one type of testing is generally not enough. For example, let’s say you decide to perform unit testing only. However, unit tests only verify business logic. Many other types of tests exist to verify the integration between components, such as integration tests. But what if you want to measure the maximum performance of your application? Or what if you want to know how the application behaves under extreme stress?

In the realm of software development, designing apps that are reliable and scalable is crucial. Design patterns are essential in achieving these objectives, being useful in OOP, UI and even QR Code design. The main reason is that design patterns offer reusable solutions to typical problems. This post explains the idea of design patterns, exploring their types, benefits and practical applications.

The SOLID design principles were promoted by Robert C. Martin and are some of the best-known design principles in object-oriented software development. SOLID is a mnemonic acronym for the following five principles: Each of these principles can stand on its own and has the goal to improve the robustness and maintainability of object-oriented applications and software components.

A PHP application might produce many different levels of warnings and errors during its execution. Seeing these errors is crucial for developers when troubleshooting a misbehaving application. However, many developers often encounter difficulties displaying errors in their PHP applications, leading to silent app failures.

To write code that can read, examine and even write code in runtime. Sounds like magic? Welcome to the world of C# reflection. Being able to write code that can examine and modify other pieces of code dynamically is quite a useful power. That’s what we call reflection, and in this post, you’ll learn how C# reflection works. We’ll open the post by covering some fundamentals. What is reflection in C#? Why do people use it? We’ll break all that down for you in plain English.

Do you use.NET (formerly.NET Core)? If so, you’re probably familiar with the built-in.NET Core LoggerFactory which is in Microsoft.Extensions.Logging. Back when it was introduced, it created a lot of confusion around logging with ASP.NET Core. Several years latter, the dust has settled down, and.NET logging has become somewhat “boring”, which means predictable and consistent. In this post, we’ll offer you a guide on.NET logging.

Object-oriented programming (OOP) is a paradigm (a sort of “style”) of programming that revolves around objects communicating with each other, as opposed to functions operating on data structures. C# is the flagship language of the.NET ecosystem. Despite being a multi-paradigm language, its forte is certainly OOP. OOP is a recognized programming paradigm, but programming languages differ in how they interpret and implement its tenants.

Dependency Injection (DI) is a pattern that can help developers decouple the different pieces of their applications. It provides a mechanism for the construction of dependency graphs independent of the class definitions. Throughout this article, I will be focusing on constructor injection where dependencies are provided to consumers through their constructors.