𝐓𝐡𝐞 𝐅𝐚𝐜𝐭𝐨𝐫𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐢𝐧 𝐍𝐨𝐝𝐞.𝐣𝐬: 𝐖𝐡𝐚𝐭 𝐈𝐭 𝐈𝐬 𝐚𝐧𝐝 𝐇𝐨𝐰 𝐭𝐨 𝐔𝐬𝐞 𝐈𝐭 In complex applications, object creation can become messy, especially when multiple classes are involved. The Factory pattern addresses this by creating objects without requiring the client code to know the specific class of the object being created. This approach improves code readability, flexibility, and reusability, which is essential for scalable applications. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐅𝐚𝐜𝐭𝐨𝐫𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧? The Factory pattern is a creational design pattern that provides an interface for creating objects in a way that abstracts the instantiation process. In simpler terms, it allows the application to decide which class to instantiate based on certain conditions without directly specifying the object’s type. The Factory acts as an intermediary that controls the logic of which specific class to instantiate based on input or conditions. 𝐇𝐨𝐰 𝐭𝐡𝐞 𝐅𝐚𝐜𝐭𝐨𝐫𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐖𝐨𝐫𝐤𝐬 𝐢𝐧 𝐍𝐨𝐝𝐞.𝐣𝐬 In Node.js, the Factory pattern is particularly useful for creating different types of objects that share similar structures or behaviors, like different types of loggers, notification services, or API integrations. Instead of specifying exactly what type of object to create, the Factory pattern lets you create new instances based on conditions or parameters, making it easy to add new types without changing the main code. 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐔𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐚𝐜𝐭𝐨𝐫𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 - Improved Readability: By centralizing the object creation logic, the Factory pattern makes it easier to understand and manage how different objects are created in your code. - Scalability: Since object creation is centralized, you can add new types of objects or services without having to refactor other parts of the code. This modularity is key in large applications. - Decoupling Code: The Factory pattern promotes decoupling since the client code doesn’t need to know which class to instantiate. This reduces dependencies between components and increases flexibility. 𝐓𝐡𝐞 𝐅𝐚𝐜𝐭𝐨𝐫𝐲 𝐩𝐚𝐭𝐭𝐞𝐫𝐧 𝐢𝐬 𝐩𝐚𝐫𝐭𝐢𝐜𝐮𝐥𝐚𝐫𝐥𝐲 𝐮𝐬𝐞𝐟𝐮𝐥 𝐰𝐡𝐞𝐧: - You need to create instances of multiple classes that share a common interface or behavior. - Object creation depends on certain parameters or conditions that are only known at runtime. - You want to isolate complex instantiation logic to keep your code organized and manageable. 𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧 The Factory pattern is an excellent choice for creating scalable, maintainable applications by simplifying object creation and isolating dependencies. It enhances code readability and flexibility, allowing you to easily add new object types without altering existing code. If your Node.js application involves complex instantiation or multiple object types, the Factory pattern is a reliable solution to consider.
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Well written in simple way
Chief Roadblock Remover and Learning Enabler | Author | Speaker | Leadership and Career Coach | Building great products, building great teams!
𝗛𝗼𝘄 𝘁𝗼 𝘀𝗲𝗹𝗲𝗰𝘁 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻? Choosing the correct design pattern in software engineering is critical to practical problem-solving. This guide simplifies the process, helping you decide between patterns based on specific needs. It offers concise descriptions and valuable use cases for each pattern, making understanding and applying them in real-world scenarios easier. To select a pattern, we must first go through the problem identification. If the problem is related to: 🔸 Object Creation? → Creational Patterns 🔸 Object Assembly? → Structural Patterns 🔸 Object Interactions? → Behavioral Patterns So, let's dive in. 𝟭. 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Singleton: Use when a single instance of a class is needed. Some examples are logging and database connections. 🔹 Factory Method: Decouple object creation from usage. For example, you create different types of database connections based on configuration. 🔹 Abstract Factory: Create families of related objects. For example, I build parsers for different file formats (e.g., JSON, XML, CSV). 🔹 Builder: Constructing complex objects step by step. For example, if you need to create a complex domain object. 🔹 Prototype: Creating duplicate objects and reusing cached objects to reduce database calls. 𝟮. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Adapter: Make incompatible interfaces compatible. For example, it integrates a new logging library into an existing system that expects a different interface. 🔹 Composite: Represent part-whole hierarchies. For example, graphic objects in a drawing application can be grouped and treated uniformly 🔹 Proxy: Control access to objects. For example, lazy loading of a high-resolution image in a web application. 🔹 Decorator: Dynamically add/remove behavior. For example, we are implementing compression or encryption on top of file streams. 🔹 Bridge: Decouple abstraction from implementation. For example, I am separating platform-specific code from core logic. 𝟯. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Strategy: Define a family of algorithms. These algorithms allow users to choose different sorting or compression algorithms. 🔹 Observer: Maintain a consistent state by being notified of changes and, for example, notifying subscribers of events in a messaging system. 🔹 Command: Encapsulate a request as an object. For example, I implement undo/redo functionality in text or image editor. 🔹 State: Encapsulate state-specific behavior. For example, we are handling different states of a user interface element (e.g., enabled, disabled, selected). 🔹 Template Method: Define the skeleton of an algorithm in operation, deferring some steps to subclasses and implementing a base class for unit testing with customizable setup and teardown steps. Ultimately, we came up with the pattern we needed for our problem. #technology #softwareengineering #programming #techworldwithmilan #softwaredesign
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𝗛𝗼𝘄 𝘁𝗼 𝘀𝗲𝗹𝗲𝗰𝘁 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻? Choosing the correct design pattern in software engineering is critical to practical problem-solving. This guide simplifies the process, helping you decide between patterns based on specific needs. It offers concise descriptions and valuable use cases for each pattern, making understanding and applying them in real-world scenarios easier. To select a pattern, we must first go through the problem identification. If the problem is related to: 🔸 Object Creation? → Creational Patterns 🔸 Object Assembly? → Structural Patterns 🔸 Object Interactions? → Behavioral Patterns So, let's dive in. 𝟭. 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Singleton: Use when a single instance of a class is needed. Some examples are logging and database connections. 🔹 Factory Method: Decouple object creation from usage. For example, you create different types of database connections based on configuration. 🔹 Abstract Factory: Create families of related objects. For example, I build parsers for different file formats (e.g., JSON, XML, CSV). 🔹 Builder: Constructing complex objects step by step. For example, if you need to create a complex domain object. 🔹 Prototype: Creating duplicate objects and reusing cached objects to reduce database calls. 𝟮. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Adapter: Make incompatible interfaces compatible. For example, it integrates a new logging library into an existing system that expects a different interface. 🔹 Composite: Represent part-whole hierarchies. For example, graphic objects in a drawing application can be grouped and treated uniformly 🔹 Proxy: Control access to objects. For example, lazy loading of a high-resolution image in a web application. 🔹 Decorator: Dynamically add/remove behavior. For example, we are implementing compression or encryption on top of file streams. 🔹 Bridge: Decouple abstraction from implementation. For example, I am separating platform-specific code from core logic. 𝟯. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Strategy: Define a family of algorithms. These algorithms allow users to choose different sorting or compression algorithms. 🔹 Observer: Maintain a consistent state by being notified of changes and, for example, notifying subscribers of events in a messaging system. 🔹 Command: Encapsulate a request as an object. For example, I implement undo/redo functionality in text or image editor. 🔹 State: Encapsulate state-specific behavior. For example, we are handling different states of a user interface element (e.g., enabled, disabled, selected). 🔹 Template Method: Define the skeleton of an algorithm in operation, deferring some steps to subclasses and implementing a base class for unit testing with customizable setup and teardown steps. Ultimately, we came up with the pattern we needed for our problem. #creditgoestoowner
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Very important to select a design pattern
Chief Roadblock Remover and Learning Enabler | Author | Speaker | Leadership and Career Coach | Building great products, building great teams!
𝗛𝗼𝘄 𝘁𝗼 𝘀𝗲𝗹𝗲𝗰𝘁 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻? Choosing the correct design pattern in software engineering is critical to practical problem-solving. This guide simplifies the process, helping you decide between patterns based on specific needs. It offers concise descriptions and valuable use cases for each pattern, making understanding and applying them in real-world scenarios easier. To select a pattern, we must first go through the problem identification. If the problem is related to: 🔸 Object Creation? → Creational Patterns 🔸 Object Assembly? → Structural Patterns 🔸 Object Interactions? → Behavioral Patterns So, let's dive in. 𝟭. 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Singleton: Use when a single instance of a class is needed. Some examples are logging and database connections. 🔹 Factory Method: Decouple object creation from usage. For example, you create different types of database connections based on configuration. 🔹 Abstract Factory: Create families of related objects. For example, I build parsers for different file formats (e.g., JSON, XML, CSV). 🔹 Builder: Constructing complex objects step by step. For example, if you need to create a complex domain object. 🔹 Prototype: Creating duplicate objects and reusing cached objects to reduce database calls. 𝟮. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Adapter: Make incompatible interfaces compatible. For example, it integrates a new logging library into an existing system that expects a different interface. 🔹 Composite: Represent part-whole hierarchies. For example, graphic objects in a drawing application can be grouped and treated uniformly 🔹 Proxy: Control access to objects. For example, lazy loading of a high-resolution image in a web application. 🔹 Decorator: Dynamically add/remove behavior. For example, we are implementing compression or encryption on top of file streams. 🔹 Bridge: Decouple abstraction from implementation. For example, I am separating platform-specific code from core logic. 𝟯. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Strategy: Define a family of algorithms. These algorithms allow users to choose different sorting or compression algorithms. 🔹 Observer: Maintain a consistent state by being notified of changes and, for example, notifying subscribers of events in a messaging system. 🔹 Command: Encapsulate a request as an object. For example, I implement undo/redo functionality in text or image editor. 🔹 State: Encapsulate state-specific behavior. For example, we are handling different states of a user interface element (e.g., enabled, disabled, selected). 🔹 Template Method: Define the skeleton of an algorithm in operation, deferring some steps to subclasses and implementing a base class for unit testing with customizable setup and teardown steps. Ultimately, we came up with the pattern we needed for our problem. #technology #softwareengineering #programming #techworldwithmilan #softwaredesign
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What is Dependency Injection in .NET Core? Dependency Injection (DI) is a fundamental design pattern in .NET Core, allowing for better-managed code dependencies by enabling the framework to create, manage, and inject required services into application components. This approach leads to more maintainable and testable applications. Built-in IoC Container .NET Core has a built-in Inversion of Control (IoC) container that supports DI out-of-the-box. While this IoC container is simple and effective for most cases, advanced scenarios may require third-party containers like Autofac or Ninject for features like interceptors or decorators. Key Service Types Framework Services: Core services provided by ASP.NET Core, such as ILogger, IConfiguration, and IOptions. Application Services: Your custom services, created to encapsulate specific application logic or data access. Service Lifetimes The IoC container supports three main lifetimes for managing services: Singleton: A single instance created for the entire application lifecycle. Use AddSingleton() for registering single-instance services, suitable for stateless services or data shared across requests. Scoped: Creates an instance per request. Use AddScoped() to share data or objects for each HTTP request lifecycle. Transient: Creates a new instance each time it’s requested. Use AddTransient() for lightweight, stateless services where each operation requires a fresh instance. Registering Services in .NET Core Open Program.cs (for minimal APIs) or Startup.cs (if using an older structure). Use the AddSingleton, AddScoped, or AddTransient methods in the ConfigureServices method to register your services with the desired lifetimes. Example: csharp code: var builder = WebApplication.CreateBuilder(args); builder.Services.AddSingleton<IWeatherService, WeatherService>(); builder.Services.AddScoped<IDataRepository, DataRepository>(); builder.Services.AddTransient<IEmailService, EmailService>(); Using Constructor Injection After registering, .NET Core’s DI automatically injects the services into constructors of classes where they’re needed: csharp code: public class MyController : ControllerBase { private readonly IWeatherService _weatherService; public MyController(IWeatherService weatherService) { _weatherService = weatherService; } } This structure promotes cleaner, more modular code by offloading service creation and management to the DI container, which is a best practice in modern .NET Core applications.
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𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀: 𝗠𝗩𝗖, 𝗠𝗩𝗣, 𝗠𝗩𝗜, 𝗠𝗩𝗩𝗠, 𝗩𝗜𝗣𝗘𝗥 Design patterns are essential tools for any developer, offering a framework for structuring code in a clean, maintainable, and scalable way. Today, we'll delve into five of the most popular design patterns, exploring their strengths and weaknesses to help you choose the right fit for your next project. 𝗠𝗩𝗖 (𝗠𝗼𝗱𝗲𝗹-𝗩𝗶𝗲𝘄-𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿): - Classic pattern separating code into three layers: - 𝗠𝗼𝗱𝗲𝗹: Data and business logic - 𝗩𝗶𝗲𝘄: Presentation of data to the user - 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿: Handles user input and updates model/view - Simple and familiar, but can lead to tightly coupled components in complex applications. 𝗠𝗩𝗣 (𝗠𝗼𝗱𝗲𝗹-𝗩𝗶𝗲𝘄-𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗿): - Introduces a Presenter to mediate between view and model. - Improves separation of concerns and testability. - Requires additional boilerplate code compared to MVC. 𝗠𝗩𝗜 (𝗠𝗼𝗱𝗲𝗹-𝗩𝗶𝗲𝘄-𝗜𝗻𝘁𝗲𝗻𝘁): - Built for reactive programming. - View emits intents, handled by the model, updating state and view. - Promotes unidirectional data flow and simplifies UI logic. - May require a steeper learning curve. 𝗠𝗩𝗩𝗠 (𝗠𝗼𝗱𝗲𝗹-𝗩𝗶𝗲𝘄-𝗩𝗶𝗲𝘄𝗠𝗼𝗱𝗲𝗹): - View binds to a ViewModel holding data and display logic. - ViewModel updates by the model, then updates the view. - Well-suited for reactive frameworks and complex UIs. - Requires additional ViewModel setup compared to MVP. 𝗩𝗜𝗣𝗘𝗥 (𝗩𝗶𝗲𝘄, 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗼𝗿, 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗿, 𝗘𝗻𝘁𝗶𝘁𝘆, 𝗥𝗼𝘂𝘁𝗲𝗿): - Designed for large and complex applications. - Five layers: View, Interactor (business logic), Presenter (data preparation), Entity (data models), Router (data flow coordination). - Enhances modularity and maintainability for massive projects. - Requires meticulous planning and understanding due to its complexity. 𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗣𝗮𝘁𝘁𝗲𝗿𝗻: The optimal pattern depends on various factors, including: - 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝘀𝗶𝘇𝗲 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: MVC/MVP for simple apps, MVI/MVVM for reactive apps, VIPER for large projects. - 𝗧𝗲𝗮𝗺 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Choose a pattern familiar to your team to avoid learning curves. - 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗽𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲: Experiment and find what works best for you and your team. Want to know more? Follow me or connect🥂 Spinner Tech - Software | Web | Mobile App | UI/UX Sabbir Ahmed Please don't forget to like❤️ and comment💭 and repost♻️, thank you🌹🙏 #backend #fullStack #developer #Laravel #github #dotnet #dotnetCore #programmer #azure #visualstudio #WebDevelopment #SoftwareDevelopment #MobileAppDevelopment #SpinnerTech
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Good structured summary for the key patterns
Chief Roadblock Remover and Learning Enabler | Author | Speaker | Leadership and Career Coach | Building great products, building great teams!
𝗛𝗼𝘄 𝘁𝗼 𝘀𝗲𝗹𝗲𝗰𝘁 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻? Choosing the correct design pattern in software engineering is critical to practical problem-solving. This guide simplifies the process, helping you decide between patterns based on specific needs. It offers concise descriptions and valuable use cases for each pattern, making understanding and applying them in real-world scenarios easier. To select a pattern, we must first go through the problem identification. If the problem is related to: 🔸 Object Creation? → Creational Patterns 🔸 Object Assembly? → Structural Patterns 🔸 Object Interactions? → Behavioral Patterns So, let's dive in. 𝟭. 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Singleton: Use when a single instance of a class is needed. Some examples are logging and database connections. 🔹 Factory Method: Decouple object creation from usage. For example, you create different types of database connections based on configuration. 🔹 Abstract Factory: Create families of related objects. For example, I build parsers for different file formats (e.g., JSON, XML, CSV). 🔹 Builder: Constructing complex objects step by step. For example, if you need to create a complex domain object. 🔹 Prototype: Creating duplicate objects and reusing cached objects to reduce database calls. 𝟮. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Adapter: Make incompatible interfaces compatible. For example, it integrates a new logging library into an existing system that expects a different interface. 🔹 Composite: Represent part-whole hierarchies. For example, graphic objects in a drawing application can be grouped and treated uniformly 🔹 Proxy: Control access to objects. For example, lazy loading of a high-resolution image in a web application. 🔹 Decorator: Dynamically add/remove behavior. For example, we are implementing compression or encryption on top of file streams. 🔹 Bridge: Decouple abstraction from implementation. For example, I am separating platform-specific code from core logic. 𝟯. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Strategy: Define a family of algorithms. These algorithms allow users to choose different sorting or compression algorithms. 🔹 Observer: Maintain a consistent state by being notified of changes and, for example, notifying subscribers of events in a messaging system. 🔹 Command: Encapsulate a request as an object. For example, I implement undo/redo functionality in text or image editor. 🔹 State: Encapsulate state-specific behavior. For example, we are handling different states of a user interface element (e.g., enabled, disabled, selected). 🔹 Template Method: Define the skeleton of an algorithm in operation, deferring some steps to subclasses and implementing a base class for unit testing with customizable setup and teardown steps. Ultimately, we came up with the pattern we needed for our problem. #technology #softwareengineering #programming #techworldwithmilan #softwaredesign
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It would be great if you said the exact/precise problems each of these individual design patterns are supposed to solve. Because it is supposed to be these problems that justify the use of these design patterns. A a solution which is a perfect fit to a problem will be of such a kind that, avoiding its use partially or entirely will make solving the problem significantly more harder or even impossible. So what problems do these solve? How can we benefit from the solutions if we don't truly understand what the problem is? Although your explanation was really great and made the best use of LinkedIn's micro-blogging constraints, I have to point out that most material and book explaining design patterns (there are a lot of them) fail to specify a strongly compelling reason to use each of those patterns. And you may also be making the same mistake. The reasons should be such that, it must be extremely obvious for someone to independently derive/come-up with such patterns. The problem should dictate and shape the structure of the solution, not the other way around.
Chief Roadblock Remover and Learning Enabler | Author | Speaker | Leadership and Career Coach | Building great products, building great teams!
𝗛𝗼𝘄 𝘁𝗼 𝘀𝗲𝗹𝗲𝗰𝘁 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻? Choosing the correct design pattern in software engineering is critical to practical problem-solving. This guide simplifies the process, helping you decide between patterns based on specific needs. It offers concise descriptions and valuable use cases for each pattern, making understanding and applying them in real-world scenarios easier. To select a pattern, we must first go through the problem identification. If the problem is related to: 🔸 Object Creation? → Creational Patterns 🔸 Object Assembly? → Structural Patterns 🔸 Object Interactions? → Behavioral Patterns So, let's dive in. 𝟭. 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Singleton: Use when a single instance of a class is needed. Some examples are logging and database connections. 🔹 Factory Method: Decouple object creation from usage. For example, you create different types of database connections based on configuration. 🔹 Abstract Factory: Create families of related objects. For example, I build parsers for different file formats (e.g., JSON, XML, CSV). 🔹 Builder: Constructing complex objects step by step. For example, if you need to create a complex domain object. 🔹 Prototype: Creating duplicate objects and reusing cached objects to reduce database calls. 𝟮. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Adapter: Make incompatible interfaces compatible. For example, it integrates a new logging library into an existing system that expects a different interface. 🔹 Composite: Represent part-whole hierarchies. For example, graphic objects in a drawing application can be grouped and treated uniformly 🔹 Proxy: Control access to objects. For example, lazy loading of a high-resolution image in a web application. 🔹 Decorator: Dynamically add/remove behavior. For example, we are implementing compression or encryption on top of file streams. 🔹 Bridge: Decouple abstraction from implementation. For example, I am separating platform-specific code from core logic. 𝟯. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Strategy: Define a family of algorithms. These algorithms allow users to choose different sorting or compression algorithms. 🔹 Observer: Maintain a consistent state by being notified of changes and, for example, notifying subscribers of events in a messaging system. 🔹 Command: Encapsulate a request as an object. For example, I implement undo/redo functionality in text or image editor. 🔹 State: Encapsulate state-specific behavior. For example, we are handling different states of a user interface element (e.g., enabled, disabled, selected). 🔹 Template Method: Define the skeleton of an algorithm in operation, deferring some steps to subclasses and implementing a base class for unit testing with customizable setup and teardown steps. Ultimately, we came up with the pattern we needed for our problem. #technology #softwareengineering #programming #techworldwithmilan #softwaredesign
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Chief Roadblock Remover and Learning Enabler | Author | Speaker | Leadership and Career Coach | Building great products, building great teams!
𝗛𝗼𝘄 𝘁𝗼 𝘀𝗲𝗹𝗲𝗰𝘁 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻? Choosing the correct design pattern in software engineering is critical to practical problem-solving. This guide simplifies the process, helping you decide between patterns based on specific needs. It offers concise descriptions and valuable use cases for each pattern, making understanding and applying them in real-world scenarios easier. To select a pattern, we must first go through the problem identification. If the problem is related to: 🔸 Object Creation? → Creational Patterns 🔸 Object Assembly? → Structural Patterns 🔸 Object Interactions? → Behavioral Patterns So, let's dive in. 𝟭. 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Singleton: Use when a single instance of a class is needed. Some examples are logging and database connections. 🔹 Factory Method: Decouple object creation from usage. For example, you create different types of database connections based on configuration. 🔹 Abstract Factory: Create families of related objects. For example, I build parsers for different file formats (e.g., JSON, XML, CSV). 🔹 Builder: Constructing complex objects step by step. For example, if you need to create a complex domain object. 🔹 Prototype: Creating duplicate objects and reusing cached objects to reduce database calls. 𝟮. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Adapter: Make incompatible interfaces compatible. For example, it integrates a new logging library into an existing system that expects a different interface. 🔹 Composite: Represent part-whole hierarchies. For example, graphic objects in a drawing application can be grouped and treated uniformly 🔹 Proxy: Control access to objects. For example, lazy loading of a high-resolution image in a web application. 🔹 Decorator: Dynamically add/remove behavior. For example, we are implementing compression or encryption on top of file streams. 🔹 Bridge: Decouple abstraction from implementation. For example, I am separating platform-specific code from core logic. 𝟯. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 Strategy: Define a family of algorithms. These algorithms allow users to choose different sorting or compression algorithms. 🔹 Observer: Maintain a consistent state by being notified of changes and, for example, notifying subscribers of events in a messaging system. 🔹 Command: Encapsulate a request as an object. For example, I implement undo/redo functionality in text or image editor. 🔹 State: Encapsulate state-specific behavior. For example, we are handling different states of a user interface element (e.g., enabled, disabled, selected). 🔹 Template Method: Define the skeleton of an algorithm in operation, deferring some steps to subclasses and implementing a base class for unit testing with customizable setup and teardown steps. Ultimately, we came up with the pattern we needed for our problem. #technology #softwareengineering #programming #techworldwithmilan #softwaredesign
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