Caution

This project is made only with the purposal for study Dotnet Aspire, RabbitMq and some clean archtecture concepts, this isn't planned as production ready app.

Requirements

• .Net 10
• Docker

Running the project locally

1. Having docker and dotnet 10 installed, just go to AppHost folder cd AppHost
2. Execute the application and dotnet aspire will take charge about running and orchestrating the containers dotnet run
3. 🔥🔥LFG🔥🔥

[!INFO] Since the application is running at development enviorment, the application will auto apply migrations in the database, so you can just access https://localhost:7281/scalar/v1 to get the Open API documentation.

High level archtecture

flowchart LR
    classDef service fill:#1e1e1e,stroke:#555,stroke-width:1px,color:#fff,rx:6px,ry:6px;
    classDef db fill:#0b3d91,stroke:#4b79ff,color:white,rx:6px,ry:6px;
    classDef cache fill:#005f5f,stroke:#1abc9c,color:white,rx:6px,ry:6px;
    classDef queue fill:#5e005e,stroke:#d86fd8,color:white,rx:6px,ry:6px;
    classDef tool fill:#3a3a3a,stroke:#888,color:#fff,rx:6px,ry:6px;

    api[C# API]
    class api service

    cache[Redis Cache:6379]
    class cache cache

    pgsql[(PostgreSQL:5432)]
    class pgsql db

    appdb[(AppDb)]
    class appdb db

    pgadmin[pgAdmin:42061]
    class pgadmin tool

    mongo[(MongoDB:35145)]
    class mongo db

    mongoexpress[Mongo Express:38105]
    class mongoexpress tool

    rabbitmq[RabbitMQ:5672]
    class rabbitmq queue

    api --> cache
    api --> pgsql
    api --> mongo
    api --> rabbitmq

    appdb --> pgsql
    pgadmin --> pgsql
    mongoexpress --> mongo

Loading

• In this project mongo is used only for store structured logs and nothing more...
• PostgreSQL is the database for storage persistent data, for viewing data the application get an pgAdmin container up
• Redis (Valkey) is the cache layer
• RabbitMQ for async processing using persitent channels