Why You Should Publish Domain Events

A domain event is a concept from domain-driven design that signals that the state of a system has changed in a way that may be interesting to others. For example, one type of domain event might show that a user has been added to the database, while another type of domain event could signal that an invoice has been approved, reduced or rejected.

In the highly recommended book Implementing Domain-Driven Design, the author Vaughn Vernon devotes a whole chapter to domain events and how to implement them. This post presents some ideas from the book. Please take the time to read the book for a more in-depth discussion of the topic.

Benefits of Domain Events

So why should you start publishing domain events? The simple answer is that it is an easy way to make your systems more loosely coupled. Domain events can be used to facilitate eventual consistency, which can eliminate the need for distributed transactions, and can improve scalability and performance.

Domain events also make it possible to create integrations that you originally did not plan for. The events provide a way to plug into the processing of a system, and to add new “modules” in the form of completely separate systems.

If you think of the times when you have had to poll a system for changes using complex queries in order to perform some processing, you can surely see how much simpler the task would have been if you had been informed of the changes you were interested in.

Taken together, the benefits of using domain events are great, and the investment in developer time very small. Once the infrastructure for working with events is in place, actually publishing the events is trivial.

Basics of Domain Events

Here are a few things to keep in mind when working with domain events:

  • A domain event shows that something already has happened. Domain events should therefore be named using past tense, for example, UserAdded, InvoiceApproved, InvoiceReduced or InvoiceRejected.
  • Since domain events represent something that has already happened, they are immutable.
  • The domain events should make sense to domain experts, and the events should become a part of the ubiquitous language used by both domain experts and developers.
  • The producer of a domain event should not have to care about which consumers, if any, there are. A domain event is simply published, and may be picked up by zero or more consumers that can be local, i.e., code in the same system, or external, i.e., separate systems.
  • An existing system can be incrementally updated to publish domain events to solve a new integration requirement.

Implementing Domain Events

A domain event should keep track of when it occurred. It may also be useful to keep a version number, e.g., starting at 1, in case we want to examine old events after the implementation has evolved.

Other than that, the domain event should have properties that make it possible to understand what happened. It may be helpful to think of what information would be necessary to trigger the event again, and to include all such information in the event.

Since the event should be useful to external consumers, it should contain only simple data types such as strings, numbers and dates. What we are saying is basically that the event should be serializable, even though we probably will use our own serialization format, such as JSON, and not use the serialization mechanism built into the development language.

Publishing Domain Events

A domain event signals that something has occurred. This means that the event must be transactionally coupled to the domain model. If the transaction is rolled back, the effect must be the same as if the event was never published.

If you use domain events internally, for example to let a domain entity publish an event that should be acted upon by other code in the same bounded context, this is easy. Just create a thread local list of all internal subscribers, and call the event handling method of the subscribers when an event is published.

Normally, you also want to publish domain events externally, to other systems. A message queue is the perfect way to reach remote subscribers. Here we have to be careful not to send the message if the transaction in which the event was created is rolled back. This can either be accomplished by using distributed transactions, or simpler using an event store.

An event store uses the same data store as the domain model, so it is automatically included in the same transaction that generates the domain event. A background thread is then used to regularly send any new events to the message queue.

The event store has the added benefit of being a complete history of all events produced by a system. This can provide a description of the state of the system, which can be used as an alternative to storing the current state of objects, a technique called event sourcing. Even if you do not use event sourcing, having a history of events is often useful when debugging problems in a live system.

When you publish events from a service, you can normally use dependency injection to access the publisher. When you publish events from entities or value objects, you will probably have to provide a way for the producer to statically access the event publisher.

An example implementation based on the ideas from the book Implementing Domain-Driven Design can be found on GitHub.


  • Practically any system that has a state that can change can benefit from domain events.
  • Publishing domain events requires some infrastructure, such as support code and a message queue. This is a one-time investment.
  • The publishing of domain events can be incrementally added to an existing system.


I'm a software developer with 20+ years of experience who likes to work in agile teams using Specification by Example, Domain-Driven Design, Continuous Delivery and lots of automation.

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I'm a software developer with 20+ years of experience who likes to work in agile teams using Specification by Example, Domain-Driven Design, Continuous Delivery and lots of automation.

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