Provide each client-side application (mobile, desktop, chatbot, and so on) with its own dedicated
backend service, so every client gets an API shaped exactly for its own needs instead of sharing
one general-purpose backend with every other client.
The Bloc pattern manages the state of an object and allows for dynamically notifying interested listeners about state changes. It separates state management logic from the rest of the application, improving code organization and flexibility.
To organize the system so that the core business logic remains independent from external concerns and frameworks.
Real-world example
Imagine a large pizza chain with multiple ordering channels—web, mobile app, phone calls, and in-store kiosks. The core “pizza domain” logic (calculating prices, preparing orders, managing loyalty points) is kept entirely separate from the user interfaces and storage mechanisms. As a result, the chain can add or change the ordering channel (for example, introducing a chatbot or swapping out the database) without altering the fundamental pizza-ordering rules, thanks to the layered boundaries and strict dependency rules of Clean Architecture.
Command Query Responsibility Segregation (CQRS) aims to segregate the operations that modify the state of an application (commands) from the operations that read the state (queries). This separation enhances scalability, performance, and maintainability in complex software systems.
Event-Driven Architecture (EDA) is designed to orchestrate behavior around the production, detection, consumption of, and reaction to events. This architecture enables highly decoupled, scalable, and dynamic interconnections between event producers and consumers.
Event Sourcing is a design pattern that advocates for the storage of state changes as a sequence of events. Instead of updating a record in a database, all changes are stored as individual events which, when replayed, can recreate the state of an application at any point in time.
The Flux design pattern is intended to manage the flow of data in Java applications, particularly client-side web applications, by enforcing a unidirectional data flow. It aims to simplify the management of complex data interactions and promote a more predictable state behavior across components.
The Front Controller design pattern aims to provide a centralized entry point for handling all incoming web requests. This pattern ensures consistent and efficient request routing and management across a Java web application.
Hexagonal Architecture, also known as Ports and Adapters, is a design pattern in Java that promotes decoupling of core business logic from external interfaces like databases and user interfaces. This architectural approach enhances maintainability and testability of software systems.
The Intercepting Filter Pattern in Java is a powerful design pattern that allows for efficient web request handling. This pattern enables the application of multiple filters in a filter chain to process and modify requests and responses.
