Architectural Patterns

Event sourcing pattern

Most applications work with data, and the overwhelming approach is for the application to maintain the current state of the data by updating it as users work with the data. For example, in the CRUD model, a data process reads data from the store, makes some modifications to it, and updates the current state of the data with the new values. The problem with this approach is that performing update operations directly against a data store may degrade performance and responsiveness. The scalability aspect may also be affected. In a collaborative environment, there are many concurrent users, and hence there is a high possibility for data update conflicts because the update operations take place on a single item of data. ...