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SignalR: Real-time Application Development by Einar Ingebrigtsen

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Summary

When forgotten, often a source of debugging nightmare, scales out. State kept in memory on one server is not available on another, leading to weird scenarios and result. This is also vital when applying SignalR in a multiserver environment. There is no guarantee as to which server the SignalR is connecting to, and also if the client needs to reconnect, so the scale-out option is very vital to the story. With the different options described in this chapter you should now be able to scale in a on-premise solution as well as in the cloud. Moving on from here, we'll dive into monitoring and the ability to do diagnostics when using SignalR.

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