HerokuAndrew FawcettTutorial
SignalR Scalability: Scaling Real-Time SignalR Applications on Heroku
Summary
Scaling a SignalR application beyond one server requires coordination because each server maintains its own connected-client list. The guide builds a .NET 9.0 chat application, adds the Microsoft.AspNetCore.SignalR.StackExchangeRedis package, and configures Redis as a backplane with a SignalRChat channel prefix and environment-specific connection settings. It deploys the application to Heroku, changes the dyno type to standard-1x, and runs three web dynos; without session affinity, WebSocket startup fails because the connection may be routed to a different dyno. Enabling Heroku’s http-session-affinity feature keeps requests on one dyno, after which both browsers establish stable WebSocket connections and exchange chat messages successfully across the scaled deployment.
Context
A single SignalR server can only support limited growth, and separate servers maintain separate connected-client lists. Without message synchronization and stable routing, clients connected to one server may not receive messages sent through another, while WebSocket connections can fail after scaling across Heroku dynos.
Approach / What changed
The application uses Redis as a SignalR backplane to coordinate messages between instances and Heroku’s http-session-affinity feature to keep each client routed to the same dyno. The deployment changes to standard-1x dynos, scales the web process to three dynos, and verifies Redis pub/sub traffic, WebSocket stability, and cross-browser chat delivery.
Takeaways
A Redis backplane coordinates SignalR messages between servers so clients connected to different instances can receive the same chat updates.
Scaling the Heroku web process to three dynos without session affinity caused WebSocket startup failures because connection requests could reach different dynos.
After enabling http-session-affinity, both browsers maintained stable WebSocket connections and exchanged real-time messages successfully across the multi-dyno deployment.
Source and freshness
- Source
- heroku.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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