CQRS/ES is an architecture pattern that separates the responsibilities of reading data (queries) from writing data (commands) and uses an event sourcing approach to store all changes to the system as a sequence of domain events.
In CQRS, commands are responsible for changing the system's state, while queries are responsible for reading data from the system. This separation allows for better scalability, as read and write operations can be optimized differently. The pattern encourages the use of different models for read and write operations, as they have different requirements.
Event sourcing, on the other hand, is a data storage approach where all changes to the system are stored as a sequence of events in an append-only log. This allows for the reconstruction of the system's state at any point in time by replaying the sequence of events that led to the current state. Event sourcing also enables auditing and better understanding of the system's behavior over time.
The combination of CQRS and event sourcing allows for flexible, scalable, and maintainable systems that can handle complex business logic and evolving requirements. It is commonly used in systems that require high availability, scalability, and auditability, such as financial systems or e-commerce platforms.
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