Event-driven architecture (EDA) is a software architecture pattern that allows for the development of applications that respond to changes in their environment. It is based on the concept of responding to user or system events, such as pressing a button or receiving a message. EDA is often used to build applications that require scalability and/or react quickly to events or changing data. The pattern is commonly used for real-time web applications, data streaming applications, and working with big data.
In EDA, user events are captured by application components, such as web browsers or mobile devices. These components then send messages or events to a processing layer, which ensures that the received events are routed and handled by the correct application components. The processing layer often leverages message brokers, which are software programs that help ensure that the right messages get to the right components.
The main advantage of an EDA-based application is that it is very flexible and scalable. An application can process single events one by one or thousands of events inn parallel and respond quickly. This makes it very useful for applications that must handle large volumes of data or process the same data in multiple ways.
EDA is becoming increasingly popular in modern application design, as it is more scalable and efficient than traditional architectures. Consequently, it is being used for a variety of purposes, including the design of real-time web applications, large scale data streaming, artificial intelligence and machine learning, and serverless computing.
Compared to traditional architectures, EDA provides many benefits, such as improved scalability, better response times, and improved fault tolerance. It also allows developers to write simple, loosely coupled code, which is less error prone and easier to maintain over the life cycle of the application.
