SignalR & Real-Time .NET Applications

Client-to-Server Streaming: Uploading in real-time

1 Views Updated 5/4/2026

Real-time Uploads

SignalR isn't just for server-pushes. The client can also stream data to the server, useful for live video, audio, or high-frequency sensor data.

1. Streaming Interactivity

A client can call a Hub method and pass an IAsyncEnumerable as an argument. The server can then 'Consume' this stream in a foreach await loop. This allows for 'Bi-directional conversation' where both sides are streaming data simultaneously.

2. Implementation

On the Javascript client, you use a Subject to push items into the stream. On the .NET client, you can use a ChannelReader. It's a very advanced pattern that turns a standard web application into a true real-time communication platform.

3. Architect Insight

Q: "Is SignalR good for file uploads?"

Architect Answer: "Generally, NO. For standard file uploads, use an HTTP POST with multi-part form data. It's much better supported by proxies and load balancers. Reserve Client-to-Server streaming for **Continuous Data** (streaming audio, heart-rate monitors, live telemetry) where the data doesn't have a fixed 'End'."

SignalR & Real-Time .NET Applications
1. SignalR Core
Real-time Theory: WebSockets vs Long Polling vs Server-Sent Events SignalR Hub Anatomy: Methods, Callbacks, and Protocols Configuring the Connection: Transports and Retries Strongly Typed Hubs: Enforcing the contract
2. Managing Users & Groups
Authentication & Authorization in SignalR Managing Connection IDs and User Identifiers Group Management: Designing Rooms and Channels Presence Tracking: Who is online?
3. Scaling SignalR
The Stateless Problem: Sticky sessions and Load Balancers Redis Backplane: Syncing multiple servers Azure SignalR Service: Offloading the connection load Monitoring Connection Health with Hub Metrics
4. Advanced Communication
Server-to-Client Streaming: Sending large data chunks Client-to-Server Streaming: Uploading in real-time Binary Protocols: Using MessagePack for extreme speed Handling Large Payload strategies