Top 6 Architectural Patterns Monolithic Architecture: In a monolithic architecture, all components of an application are integrated into a single, unified codebase. This approach simplifies deployment and can be easier to manage for small applications. However, as the application grows, it can become cumbersome, making it difficult to scale and maintain. Changes to one part of the application may require redeploying the entire system. Controller-Worker Pattern: This pattern separates the control logic from the processing logic. The controller handles incoming requests, manages the flow of data, and delegates tasks to worker components that perform the actual processing. This pattern is beneficial for handling asynchronous tasks and can improve scalability by allowing multiple worker instances to process tasks concurrently. Microservices Architecture: Microservices architecture involves breaking down an application into small, independent services that communicate over well-defined APIs. Each service is responsible for a specific business capability and can be developed, deployed, and scaled independently. This pattern enhances flexibility and allows for the use of different technologies for different services. However, it can introduce complexities in service management and inter-service communication. Model-View-Controller (MVC): The MVC pattern separates an application into three interconnected components: the Model (which manages data and business logic), the View (which displays data to the user), and the Controller (which handles user input and interacts with the Model). This separation promotes organized code, making it easier to manage and scale applications, particularly in web development. Event-Driven Architecture: In event-driven architecture, components communicate through the production and consumption of events. When an event occurs (e.g., a user action or a system change), it triggers specific reactions from the system. This pattern is highly decoupled, allowing for greater scalability and flexibility, as components can evolve independently. It is particularly useful for applications that require real-time processing and responsiveness. Layered Architecture: Layered architecture divides an application into distinct layers, each with specific responsibilities. Common layers include presentation, business logic, and data access. Each layer communicates only with the adjacent layers, promoting separation of concerns. This pattern enhances maintainability and allows teams to work on different layers independently. However, it can lead to performance overhead due to multiple layers of indirection. #Azure #kubernetes #DevOps #devops #aws #programming #terraform #Jenkins #cicd #Developer #java #infrastructure #GitHub #GitOps #CloudZenixLLC #CloudZenix
