The decision-making process for selecting the appropriate architecture pattern is not trivial. It requires careful consideration of factors like system scalability, ease of integration, user experience, cost, and future-proofing the application to adapt to changing business requirements. Choosing the right architecture pattern is essential to ensure that the application can handle growth in terms of user base, data volume, and operational complexity, while also enabling agility in response to new business demands.

Given the wide variety of architectural patterns available, it is useful to categorize them based on the nature of the design. These categories help simplify the decision-making process by allowing architect to select patterns that align with the specific goals and requirements of their application.

In this session we will focus on three types of architecture patterns primarily addressing below areas:

Reusability - Promote reusability through the use of libraries.

Integrations - Integrate with external systems while promoting scalability and the maintainability of the apps.

Sharing of Data - Share data with other apps, from plain data to business data, using Libraries or loosely coupled apps.

1. Reusability: By organizing common features, business logic, and user interface components into reusable libraries, developers can accelerate development, maintain consistency across applications, and ensure scalability. Reusable components can be shared across multiple applications, reducing the need for duplicate code and enabling faster updates and bug fixes.

2. Integrations: In the modern enterprise landscape, applications often need to integrate with multiple external systems, whether they be legacy systems, third-party APIs, or other cloud-based services. The architecture must be flexible enough to allow for easy integration while also promoting scalability and maintainability.

3. Sharing of Data: Data sharing is a crucial component of modern application architectures. Applications often need to share data with each other, whether it’s simple transactional data or more complex business data. The architecture should support this data exchange in a way that is scalable, efficient, and maintains data consistency across different applications.