This means any stress or overload on client side will affect firstly Redis service, other than other applications, causing higher latency on Redis requests, and for that reason some Redis timeouts may occur. For that reason, timeout values used in the client application are usually low. Timeouts in Azure Cache for Redis occurs on client side when client application cannot receive the response from Redis server side timely.Īnytime, when client application doesn’t receive response before one of the timeout values expire, a timeout will occur and will be logged on client application logs as Redis timeout error message.Īs Redis service acts as a Memory cache for client applications, the performance on Redis calls should be high, with low response times. There are many reasons that may cause timeouts on Redis client side, due to client, network or server side causes, and the error message also may differ based on Client library used.
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