Tuesday, January 2, 2024

Decorator Design Pattern in C#

The Decorator Design Pattern is a structural pattern in software development that allows behavior to be added to individual objects, either statically or dynamically, without affecting the behavior of other objects from the same class.

The idea of the Decorator Pattern is to wrap an existing class, add other functionality to it, then expose the same interface to the outside world. Because of this our decorator exactly looks like the original class to the people who are using it.

It is used to extend or alter the functionality at runtime. It does this by wrapping them in an object of the decorator class without modifying the original object. So it can be called a wrapper pattern.

Components of Decorator Design Pattern

  • Component: It defines the interface of the actual object that needs functionality to be added dynamically to the ConcreteComponents.
  • ConcreteComponent: The actual object in which the functionalities could be added dynamically.
  • Decorator: This defines the interface for all the dynamic functionalities that can be added to the ConcreteComponent.
  • ConcreteDecorator: All the functionalities that can be added to the ConcreteComponent. Each needed functionality will be one ConcreteDecorator class.

Friday, December 29, 2023

Adapter Design Pattern in C#

The Adapter Design Pattern is a structural pattern that allows incompatible interfaces to work together. It acts as a bridge between two incompatible interfaces, enabling them to collaborate seamlessly without modifying their existing code.The adapter plays the role of converter or translator.

This pattern is particularly useful when integrating new components or systems that have different interfaces from the ones already in use.

To handle the incompatibility, we use different approaches, and based on that, we can classify the Adapter Pattern into 2 parts.

  • Object Adapter Pattern
  • Class Adapter Pattern

Thursday, December 28, 2023

Response Caching in .NET Core with Example

Response Caching in .NET Core

Caching responses is a powerful technique to improve the performance and scalability of web applications. In .NET Core, response caching is a feature that helps store the output of an action method for a specified duration, allowing subsequent requests to retrieve the cached result instead of re-executing the action.

How to Implement Response Caching in .NET Core?

  1. Enable Response Caching in Startup.cs

    In the ConfigureServices method of Startup.cs, enable response caching by adding the required services.

        public void ConfigureServices(IServiceCollection services)
    {
        services.AddResponseCaching();
        // Other configurations...
    }
        

Wednesday, December 27, 2023

Distributed Caching in .NET Core with Example

Distributed Caching in .NET Core

In .NET Core, managing caching efficiently can significantly enhance the performance of applications.IDistributedCache interface provides a unified approach to caching data in a distributed environment, allowing seamless integration with various caching systems like Redis, SQL Server, or in-memory cache.

What is IDistributedCache?

IDistributedCache is an abstraction in .NET Core that enables applications to interact with distributed cache stores. It offers methods to set, retrieve, and remove cached data in a consistent manner across different cache providers.

Monday, December 25, 2023

IMemoryCache in .NET Core with Example

IMemoryCache in .NET Core

In .NET Core, managing caching efficiently can significantly enhance the performance of applications. The IMemoryCache interface plays a pivotal role in caching data in memory, providing a simple and effective way to store and retrieve cached data within your applications. This post aims to provide an in-depth understanding of IMemoryCache and its implementation with illustrative examples.

What is IMemoryCache?

IMemoryCache is an interface provided by the .NET Core framework, designed to cache data in memory within an application. It enables developers to temporarily store frequently accessed data, reducing the need to fetch it from the original source repeatedly.

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