🔄 Simplified Approach: Asynchronous Request-Reply 🎯💡
In modern app development, when clients need to interact with remote APIs for business logic or services, the Asynchronous Request-Reply pattern shines.
Here’s how it works
- Client Makes Request: The client (like a web browser) sends a request to the backend API over HTTP(S).
- Backend Acknowledges: Upon receiving the request, the backend immediately acknowledges it, letting the client know it’s been received.
- Backend Processes Asynchronously: Instead of making the client wait, the backend processes the request asynchronously. This means it can handle multiple tasks simultaneously without blocking.
- Immediate Response: While the backend works, the client gets an immediate response, indicating the request has been accepted.
-Notification of Completion: Once processing is complete, the backend notifies the client, providing the result or status update.
Benefits
- Improved Responsiveness: Clients get immediate feedback, making interactions smoother.
- Efficient Resource Utilization: Asynchronous processing allows the backend to handle tasks concurrently, optimizing resource usage.
- Scalability: The system can handle more requests without sacrificing performance.
This approach simplifies communication between clients and servers, making applications more responsive and scalable.
✅ When to Use This Pattern
- Client-Side Code: Ideal for client-side applications like browsers where setting up callback endpoints or long-running connections is complex.
- Service Calls Over HTTP: Useful when only HTTP protocol is available and firewall restrictions prevent callback firing on the client-side.
- Integration with Legacy Architectures: When integrating with older systems that lack support for modern callback technologies such as WebSockets or webhooks.
❌ When Not to Use This Pattern
- Alternative Services Available : If there’s a service designed for asynchronous notifications like Azure Event Grid, it may be a better fit.
- Real-Time Streaming Required : Not suitable when real-time streaming responses are needed.
- Many Results with Low Latency : For scenarios where the client needs to collect numerous results with low latency, consider a service bus pattern instead.
- Persistent Network Connections Supported : If server-side persistent network connections like WebSockets or SignalR are feasible, they can be used for real-time result notifications.
- Network Design Constraints : If network design allows for opening ports to receive asynchronous callbacks or webhooks, consider those options.
