Control the rate of data production so downstream consumers are not overwhelmed by excessive load.
The Async Method Invocation pattern is designed to enhance concurrency by allowing methods to be called asynchronously. This pattern helps in executing parallel tasks, reducing wait times, and improving system throughput.
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.
The Java Callback Design Pattern is a piece of executable code passed as an argument to other code, which is expected to call back (execute) the argument at a convenient time.
The Collection Pipeline design pattern in Java processes collections of data by chaining operations in a sequence. Utilizing the Java Stream API, it transforms data declaratively, focusing on what should be done rather than how.
The Combinator pattern, a functional programming technique widely used in Java, is essential for combining functions to build complex behaviors. This pattern allows developers to combine multiple smaller functions or operations into a single, more complex operation, promoting flexible and reusable code. By leveraging higher-order functions, the Combinator pattern enhances code reuse and maintainability in Java applications, making it a valuable tool in software design. This approach fosters the creation of modular, scalable solutions in Java development.
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.
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.
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 primary goal of the Fluent Interface pattern is to provide an easily readable and flowing API by chaining method calls, often referred to as method chaining. This approach is ideal for building complex objects step-by-step and improving the overall developer experience.
