Question 1

How to implement event sourcing with GetEventStore in a .NET application?

Accepted Answer

This example shows how to use GetEventStore as the event store, where events are appended sequentially and replayed to rebuild state. You'll need to set up GetEventStore locally or remotely and integrate it with .NET using client libraries, as demonstrated in the codebase.

Question 2

What are the benefits of CQRS with Event Sourcing over traditional architectures?

Accepted Answer

CQRS with Event Sourcing improves scalability by separating read and write models, ensures data consistency through immutable event logs, and enables features like audit trails and time-travel debugging. However, it adds complexity in managing two models and event replay, as shown in this project.

Question 3

DDD CQRS ES vs microservices: which is better for large systems?

Accepted Answer

DDD CQRS ES can be implemented within microservices or monoliths; this example is monolith-focused. Microservices add distribution benefits but increase network complexity. This project helps understand the patterns, but for microservices, you'd need to adapt it to distributed bounded contexts.

Question 4

Is NServiceBus necessary for implementing CQRS in .NET?

Accepted Answer

No, NServiceBus is not mandatory but provides reliable messaging features like queues and retries, which enhance communication in distributed systems. This example uses it to demonstrate best practices, but alternatives like MassTransit or custom solutions could be used with modifications.

Question 5

How does SignalR handle real-time updates in a CQRS system?

Accepted Answer

In this project, SignalR is integrated to push updates to clients when events are processed, such as notifying UI components of changes. Event handlers trigger SignalR hubs to broadcast messages, enabling immediate feedback without polling.

Question 6

What are common pitfalls when starting with event sourcing?

Accepted Answer

Common pitfalls include event schema evolution challenges, performance issues with event replay, and ensuring consistency across read models. This example highlights some mitigations, like using snapshots, but real-world applications require careful planning for these aspects.

CQRS-DDD Example

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