hyannconsulting / smart-coffee-machine

Showcase how we can decouple long-running tasks from HTTP request processing in REST API by introducing a distributed system using Message Queue, Redis, and Worker Services or Hosted Services

Smart Coffee Machine System

Showcase how we can decouple long-running tasks from HTTP request processing in REST API by introducing a distributed system using Azure Service Bus as a message broker to asynchronously handle messages, and Worker Services as message consumers, and Redis to track long-running tasks' status.

System Design Diagram

Network Topology using Azure Service Bus

Getting Started

Prerequisites:

1. Azure Service Bus namespace (please see article below on how to create a namespace and generate a connection string)

Development

1. Run "dotnet run" in Web API application to run the REST API.
2. Run "dotnet run --no-build" in Services application to run the consumer instances.

For detailed description on the development journey and how things work, please see resource articles:

• REST API Best Practices — Decouple Long-running Tasks from HTTP Request Processing
• Decouple Long-running Tasks from HTTP Request Processing — Using In-Memory Message Broker
• Decouple Long-running Tasks from HTTP Request Processing — Using Azure Service Bus
• Decouple Long-running Tasks from HTTP Request Processing — Scalable Consumers
• TODO : article to cover checking coffee status using Redis

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