The Active Object pattern provides a reliable method for asynchronous processing in Java, ensuring responsive applications and efficient thread management. It achieves this by encapsulating tasks within objects that have their own thread and message queue. This separation keeps the main thread responsive and avoids issues like direct thread manipulation or shared state access.
The Chain of Responsibility pattern in Java is a behavioral design pattern that decouples the sender of a request from its receivers by giving more than one object a chance to handle the request. The receiving objects are chained and the request is passed along the chain until an object handles it.
The Data Bus design pattern aims to provide a centralized communication channel through which various components of a system can exchange data without being directly connected, thus promoting loose coupling and enhancing scalability and maintainability.
An Event Aggregator is a design pattern used for handling events in a system. It centralizes the event handling logic, making it easier to manage and maintain. The Event Aggregator design pattern aims to decouple event generation from event handling. This design pattern collects events from multiple sources and routes them to the appropriate handlers.
The Event-Based Asynchronous pattern allows a system to handle tasks that might take some time to complete without blocking the execution of the program. It enables better resource utilization by freeing up a thread that would otherwise be blocked waiting for the task to complete.
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.
The Event Queue pattern is designed to manage tasks in an asynchronous manner, allowing applications to handle operations without blocking user interactions or other processes. This improves scalability and system performance.
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 Mediator design pattern is intended to reduce the complexity of communication between multiple objects or classes in a system. It achieves this by providing a centralized mediator class that handles the interactions between different classes, thus reducing their direct dependencies on each other.
Log Aggregation is a crucial microservices design pattern that centralizes the collection, storage, and analysis of logs from multiple sources, facilitating efficient monitoring, debugging, and operational intelligence.
