Event-based systems are those whose architecture revolves around processing events. There are components that generate events, the channels through which the events propagate, and the listeners who react to them, potentially triggering new events too. It's a style that promotes asynchrony and loose coupling, which makes it a good way to increase performance and scalability, as well as an easy solution to deploy.
With those advantages, there are also some challenges to solve. One of them is the complexity to create a system of this type. All the queues must be made fault-tolerant so that no events are lost in the middle of being processed. Processing transactions in a distributed way is also a challenge on its own. Using the Correlation ID pattern to track events between processes, along with monitoring techniques, can save you hours of debugging and scratching your head.
Examples of event-based systems include stream processors and data integrations...
