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  Dependency Injection (DI) is a design pattern that allows for better separation of concerns, easier testing, and more maintainable code by injecting dependencies into classes rather than hard-coding them. .NET Core has built-in support for DI, making it an integral part of building scalable and flexible applications. In this blog, we'll explore DI in .NET Core using an Item API as an example. We'll walk through the process of setting up DI in a .NET Core application and demonstrate how it can be used to manage dependencies. What is Dependency Injection? Dependency Injection is a technique where an object receives other objects (dependencies) it needs, rather than creating them itself. This approach allows for better flexibility and easier testing, as dependencies can be swapped out or mocked as needed. In .NET Core, DI is supported natively and is typically configured in the Startup.cs file, where services are registered and managed by the built-in IoC (Inversion of Control)

  In .NET Core, the concepts of controllers and actions form the backbone of handling HTTP requests in a web application. Controllers serve as intermediaries between the user interface and the data model, while actions are the methods within these controllers that handle the specific requests. This blog will explore these concepts using a simple Item API as an example, along with detailed C# code snippets. What is a Controller? A controller in .NET Core is a class that is responsible for handling incoming HTTP requests and returning appropriate responses. It serves as the decision-maker that orchestrates how a request should be processed. Each controller class typically represents a specific part of your application, such as "Items" in an inventory management system. What is an Action? An action is a method within a controller that handles a specific HTTP request. For example, an action might retrieve an item from a database, create a new item, or delete an item. Actions are

Routing is a fundamental aspect of any web application, especially when building APIs in .NET Core. It determines how HTTP requests are mapped to the specific actions that handle them. In .NET Core, there are two primary ways to define routes: Attribute-Based Routing and Conventional Routing. In this blog, we'll explore both approaches with examples using an Item API. Checklist : API Security, Don't forget check all What is Routing in .NET Core? Routing in .NET Core is the process of matching incoming HTTP requests to the correct controller and action method. This is done by examining the URL of the request and determining which controller action should handle it. .NET Core provides flexibility in defining routes, allowing developers to use either attribute-based routing or conventional routing (or even a combination of both). 1. Attribute-Based Routing Attribute-Based Routing allows you to define routes directly on your controller actions using attributes. This approach gives

  Securing your APIs is crucial in today’s digital environment, where APIs are the backbone of modern applications, enabling data exchange between different systems. Below is a comprehensive checklist to ensure your APIs are secure: 1. Authentication Use Strong Authentication Mechanisms: Implement strong, standardized authentication protocols like OAuth 2.0, OpenID Connect, or JWT. No Anonymous Access: Ensure that all API endpoints are secured and that unauthenticated users cannot access any sensitive data. API Keys: If using API keys, make sure they are unique per user/application and have limited access scopes. 2. Authorization Implement Role-Based Access Control (RBAC): Define user roles and ensure that access to resources is granted based on the role. Scope Limitation: Use scopes or permissions in your authorization tokens to limit access to specific API resources. Least Privilege Principle: Always grant the minimum required access to users or applications. [ Authorize ] [ Ht

  The Abstract Factory design pattern is a creational pattern that provides an interface for creating families of related or dependent objects without specifying their concrete classes. It helps to ensure that the objects created by the factory are compatible with each other, and is useful when you need to work with various sets of related products or configurations. Understanding the Factory Method Design Pattern in C# In this blog, we'll dive into the Abstract Factory pattern, compare it with a non-pattern approach, demonstrate its implementation in C#, and discuss its benefits and drawbacks. We’ll also explain why other design patterns might not be suitable and guide you on identifying use cases for the Abstract Factory pattern. Example Scenario: Creating Different Sets of UI Components Imagine you're building a cross-platform application that supports different themes (e.g., Light and Dark themes). Each theme has its own set of UI components, such as buttons and checkboxes.

  The Factory Method design pattern is a creational pattern used to define an interface for creating objects, but allows subclasses to alter the type of objects that will be created. It encapsulates object creation, promoting flexibility and maintainability by decoupling the code that uses the objects from the code that creates them. Understanding the Builder Design Pattern in C# In this blog, we'll explore the Factory Method pattern, provide a comparison with a non-pattern approach, demonstrate its implementation in C#, and discuss its benefits and drawbacks. We'll also explain why other design patterns might not be suitable and guide you on identifying use cases for the Factory Method pattern. Example Scenario: Creating Different Types of Documents Consider a scenario where you need to create different types of Document objects, such as WordDocument and PDFDocument . The Factory Method pattern helps encapsulate the creation logic, allowing you to easily manage and extend di

  The Builder design pattern is a creational pattern that simplifies the construction of complex objects. It separates the construction process from the representation of the object, allowing you to create different representations of the same object using the same construction process. This pattern is especially useful when an object requires multiple configurations or components. Understanding the Prototype Design Pattern in C# In this blog, we'll explore the Builder pattern, provide a comparison with a non-pattern approach, and demonstrate its implementation in C#. We'll also discuss its benefits and drawbacks, explain why other design patterns might not be suitable, and guide you on identifying use cases for the Builder pattern. Example Scenario: Constructing a Complex Product Imagine you're designing a House object in a real estate application. The house might have various features like a garage, swimming pool, garden, etc. Instead of managing all these features in th