Complex Rest API data flow & architecture - How ?

This page summarizes the projects mentioned and recommended in the original post on /r/dotnet

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  • RabbitMQ

    Open source RabbitMQ: core server and tier 1 (built-in) plugins

  • Build another system to handle calls to quotation engine API , using the request stored in DB & save the response( quotation ) back in DB. Check Background Service documentation. Check Hangfire. Check RabbitMq if you need messaging, queues etc. I am sure more experienced people around here can point you to other solutions.

  • Hangfire

    An easy way to perform background job processing in .NET and .NET Core applications. No Windows Service or separate process required

  • Build another system to handle calls to quotation engine API , using the request stored in DB & save the response( quotation ) back in DB. Check Background Service documentation. Check Hangfire. Check RabbitMq if you need messaging, queues etc. I am sure more experienced people around here can point you to other solutions.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • MediatR

    Simple, unambitious mediator implementation in .NET

  • There's a bunch of ways to do this, the most classical being "service classes". I'm not doing a lot of .NET anymore, but my preferred way of handling these types of things would be MediatR, not because of the actual mediator pattern, but simply because I appreciate how it nicely encapsulates each "feature".

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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