Rustic Dendrite

A Rust library to connect to AxonServer.

This project is a sibling of dendrite2go and archetype-go-axon, but for the Rust programming language.

Core concepts

• Command / Query Responsibility Segregation (CQRS)
• Domain-driven Design (DDD)
• Event Sourcing
• Futures and async/await
• gRPC
• Microservices
• Service Mesh (video: talk by Jeroen Reijn)

Stack

In alphabetic order:

• Bash: The shell, or command language interpreter, for the GNU operating system — for building and deploying
• AxonServer: A zero-configuration message router and event store for Axon (docker image) — Event Store
• Docker compose: A tool for defining and running multi-container Docker applications — for spinning up development and test environments
• ElasticSearch You know, for search (docker image) — for query models (though any tokio-compatible persistence engine will do)
• Envoy proxy: An open source edge and service proxy, designed for cloud-native applications (docker image) — to decouple microservices
• React: A JavaScript library for building user interfaces — for the front-end
• Rust: A language empowering everyone to build reliable and efficient software — for the back-end
• Tonic: A Rust implementation of gRPC with first class support of async/await — for the plumbing on the back-end

Status

This project has now reached the level of Minimal Viable Deliverable in the sense that the first phase is completed: the current application communicates with AxonServer properly. Like archetype-go-axon it can do the following: 1. ☑ Set up a session with AxonServer * ☑ Enable React app to call a RPC endpoint on the example-command-api service through grpc-web 2. ☑ Issue commands 3. ☑ Register a command handler and handle commands 4. ☑ Submit events * ☑ Stream events to UI 5. ☑ Retrieve the events for an aggregate and build a projection * ☑ Validate commands against the projection 6. ☑ Register a tracking event processor and handle events 7. ☑ Store records in a query model: Elastic Search * ☑ Store tracking token in Elastic Search 8. ☑ Register a query handler and handle queries * ☑ Show query results in UI

The next task is to split off the example project from the library, and publish the library on crates.io.

After that:

• Add macros to make the definition of handlers more ergonomic
• Add in-memory caching of aggregate projections
• Add support for storing snapshots of aggregate projections in AxonServer.
• Add support for segmentation to distribute the load on tracking event processors.
• Add support for sagas.
• ...