Software Architecture Patterns
A dive into several common software architecture patterns
🚀 Grasping the essence of software architecture basics is crucial for any tech professional. Let's explore some key patterns together:
Layered Architecture
Layered architecture is a popular pattern for developing business applications. It organizes components into horizontal layers, such as presentation, business, persistence, and database. Each layer has a specific role, ensuring separation of concerns and making it easier to develop and maintain applications. This pattern aligns well with traditional company structures and is widely used in Java EE applications.
Event-Driven Architecture
Event-driven architecture is a scalable and adaptable pattern for building applications. It consists of decoupled event processing components that asynchronously handle events. Two main topologies, mediator and broker, offer different ways to orchestrate and chain events.
Microkernel Architecture
Microkernel architecture is ideal for product-based applications, including internal business apps. It enables extensibility and feature separation by allowing plug-ins to be added to the core application. Perfect for versioned and downloadable software products.
Microservices Architecture
Microservices architecture is gaining popularity as a flexible alternative to monolithic and service-oriented architectures. It emphasizes separately deployed units and service components, enabling easier deployment, scalability, and decoupling. This distributed architecture achieves superior scalability and evolved from issues with layered and service-oriented patterns. It simplifies application development, testing, and deployment while reducing complexity compared to traditional approaches.
Space-Based Architecture
Web-based business applications often face scalability issues as user load increases, creating bottlenecks at the web, application, and database layers. Scaling out web servers is a common response but only shifts the bottleneck to other layers. The space-based architecture pattern addresses scalability and concurrency problems by utilizing in-memory data grids instead of a central database. It allows dynamic startup and shutdown of processing units and removes the database bottleneck, offering near-infinite scalability. This pattern is particularly useful for applications with variable concurrent user volumes.
Pattern Analysis Summary
This table summarizes pattern analysis scores for architecture patterns. It helps determine the best pattern based on your needs. For scalability, consider event-driven, microservices, or space-based patterns. Layered architecture may have deployment, performance, and scalability risks. Consider all factors when choosing a pattern as changing it later is difficult and costly.
https://www.oreilly.com/content/software-architecture-patterns/
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