Latest posts

In this episode, we briefly introduce Apache Kafka, as we’ll use it to implement our event bus. We’ll focus on our specific use case, as Kafka can be used in a variety of scenarios. We’ll keep it in a developer’s perspective, not going much into more infrastructural subjects.

In this episode, we’ll implement the outbox publisher, or better yet, two versions of it, one better suited for lower latency and another for reliability. As we continue our event-driven path, this will be a good opportunity to introduce a couple of interesting .NET Core features: IHostedService (and BackgroundService) and System.Threading.Channels.

On the footsteps of the last episode, in this one we store the inferred events in the outbox table, doing so transactionally, so we have guarantees that any change will eventually result in a published event.

In this first step implementing event-driven integration between services, we’ll hook-up into EF Core’s infrastructure, namely when saving changes, to infer if any event should be raised based on the information provided by the change tracker.

As we start implementing event-driven integration, the first thing we need to do is publish the events. Although it might seem straightforward, there are some important things to consider in order to make it work reliably. In this episode, we discuss the challenges and introduce the transactional outbox pattern to help us facing these challenges.