You cannot manage what you cannot measure. Monitoring SignalR requires looking at connection counts, message throughput, and transport types.
SignalR exposes several .NET performance counters. You should track:
- **Current Connections:** Are we hitting our server limit?
- **Messages Sent/Received per sec:** Are we flooding the socket?
- **Errors:** Are users dropping frequently due to timeouts?
If using the Azure SignalR Service, you get a beautiful dashboard with real-time metrics on message latency and connection health. You can set **Alerts** to notify the DevOps team if the 'Connection Drop Rate' exceeds 5% in a minute, indicating a network or infra issue.
Q: "What is a 'Message Flood'?"
Architect Answer: "It's when a developer accidentally puts a Clients.All.SendAsync() inside a tight loop or a high-frequency timer. This can saturate the server's network bandwidth and freeze the client's UI thread. Always use **Throttling** or **Debouncing** for high-frequency updates on the server before pushing them to the Hub."