𝐓𝐨𝐩 Software 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐚𝐥 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 - rnakidi/dsa GitHub Wiki
Event-Driven Architecture: This pattern revolves around the production, detection, consumption, and reaction to events. It is particularly useful in applications that require a high degree of decoupling and scalability. Components communicate through events, which allows for asynchronous processing and improved responsiveness.
Layered Architecture: In this pattern, the system is divided into distinct layers, each with its own responsibilities. Common layers include presentation, business logic, and data access. This separation helps manage complexity and facilitates maintenance and testing. Changes in one layer typically have minimal impact on others.
Monolith: A monolithic architecture is a single unified unit where all components of an application are interconnected and interdependent. While this can simplify deployment and scaling, it can also lead to challenges in maintainability and agility as the application grows.
Microservices: This architectural style structures an application as a collection of loosely coupled services. Each service is self-contained and can be developed, deployed, and scaled independently. This promotes agility, scalability, and resilience but introduces complexity in managing service interactions.
Pipe-Filter Architecture: This pattern involves processing data through a series of processing elements (filters) connected by pipes. Each filter transforms the data, and the data flows through the system in a linear fashion. This pattern is beneficial for data processing, stream processing, and batch processing applications.
Peer-to-Peer Architecture: In this model, each participant (peer) in the network can act as both a client and a server, sharing resources directly with one another without a central authority. This architecture is often used in file-sharing networks and decentralized applications, promoting resilience and scalability.
MVC (Model-View-Controller): This pattern separates an application into three interconnected components: the Model (data), the View (UI), and the Controller (business logic). This separation allows for independent development, testing, and maintenance of the components, leading to a more organized and manageable codebase.
Primary-Replica (or Primary-Secondary): This architecture pattern is commonly used in database systems where one primary node handles write operations while secondary nodes replicate the primary node’s data. This setup enhances read scalability and provides redundancy for fault tolerance.
🔦 Each of these architectural patterns has its advantages and trade-offs, and the choice of which to use depends on the specific requirements of the application being developed.