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Event Sourcing with Kotlin

This is a simple demo project to show Event Sourcing with Kotlin.

Note that this project is derived from ddd-with-kotlin which shows a similar demo but without event sourcing.

Run it

./gradlew bootRun

Then open the web UI in a browser:

http://localhost:8080/index.html

You can submit requests there and see all events.

Example Use Case

The subject of this demo is the Product Service. The Product Service is located between five other components. The Master Data Service will push new products to the Product Service. This is the beginning of our business process. The Product Service will register each new product at the Media Data Service. After a product is registered, the Product Service will receive updates for this product from the Media Data Service. After an update was received, the Product Service will:

• Update the CDN if media data has changed
• Update the Shop and search index if master data has changed

+-------------+
| Master Data |
|   Service   |
+-------------+
   |                     << DEMO >>   
   +------------------► +---------+
    1: update product   | Product |
                        | Service |---------+---------+
               +------► +---------+         |         |
      3:       |             |      2:      |         |        5:
 push updates  |             | register new |         | update if master 
               |             |   product    |         | data has changed
   +------------+            |              |         |
   | Media Data | ◄----------+              |         +----------+
   |  Service   |                           |         |          |
   +------------+        4: update if media |         |          |
                          data has changed  |         |          |
                                            ▼         ▼          ▼
                                         +-----+  +------+  +--------+ 
                                         | CDN |  | Shop |  | Search |
                                         +-----+  +------+  +--------+

What to see

• A domain entity called Product.kt which encapsulates business logic and throws domain events.
• A process flow with events ("something has happened") and commands ("now do something").
• Value objects such as ProductNumber.kt or ProductInformation.kt.
• A ports-and-adapters package layout.
• An anti-corruption layer for external messages - they will be transformed to internal commands.
• A persistence based on event sourcing with a simple in-memory event store.

Important Concepts

Messages, Commands and Events

• External systems (such as the Master Data Service or Media Data Service) communicate via messages. Those messages will trigger one or more actions in our system. Since those messages are not fully under our control (external systems are always evil!), we don't want to hand them to our business layer. Instead, we treat those messages as DTOs and translate them to internal commands (anti-corruption layer).
• Every action taking place in our system is triggered by a command. Commands define our internal API.
• When something has taken place, an event is published. Since we are doing event sourcing, events hold all data relevant to their context. We persist those events in order to construct our domain objects.

Application Layer vs Domain Layer

• The application layer contains services. Those services glue together different components. However, they don't execute any business logic on their own. Instead they delegate this to the domain layer. A good example is the ProductService.kt.
• The domain layer is the place where business logic is implemented. Domain entities (such as Product.kt) encapsulate data and business methods to (operate on that data). The domain layer should be independent of frameworks (as far as possible).

Resources

On Event Sourcing

• http://microservices.io/patterns/data/event-sourcing.html
  • A short description of the pattern including some sample code and additional resources. This is a good starting point to get a first impression of event sourcing. The page also shows related patterns as well as pros and cons.
• http://engineering.pivotal.io/post/event-source-kafka-rabbit-jpa
  • A demo from Pivotal showing a small example using DDD, event sourcing, commands and a nice CQRS implementation. You will find the source code on GitHub.

On DDD

• https://martinfowler.com/tags/domain%20driven%20design.html
  • A collection of articles by Martin Fowler. Each article enlightens a different aspect of DDD.
• https://docs.microsoft.com/en-us/dotnet/standard/microservices-architecture/microservice-ddd-cqrs-patterns/ddd-oriented-microservice
  • First article of series by Microsoft on how to use DDD for microservices. Although the series is using C#, the examples are easy to understand.