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Troubleshoot Azure Cache for Redis timeouts

by | Feb 26, 2021

Wondering how to troubleshoot Azure Cache for Redis timeouts? We can help you with it.

Azure Cache for Redis provides an in-memory data store based on the Redis. Moreover, Redis improves application performance by supporting common application architecture patterns. However, timeouts can occur here due to various reasons that include requests being bound by bandwidth limitations, commands taking a long time to process on the server, and so on.

Here at Bobcares, we have seen several such Azure-related queries as part of our Server Management Services for web hosts and online service providers.

Today, we’ll take a look at how our Support Engineers troubleshoot for Redis timeouts.


How to troubleshoot Azure Cache for Redis timeouts

Now let’s take a look at how our Support Engineers troubleshoot the Redis timeout issues.


Redis server patching for timeouts issue

Azure Cache for Redis regularly updates its server software as part of the managed service functionality.

This patching activity takes place behind the scene. Sometimes, if there is any failover and during the patching of Redis server nodes are, Redis clients who connect to these nodes may experience temporary timeouts as connections are switched between these nodes.


StackExchange.Redis timeout exceptions for Azure Cache

StackExchange.Redis uses a configuration setting named synctimeout. It mainly uses it for synchronous operations with a default value of 5000 ms.

In case, if the synchronous call doesn’t complete at this time, the StackExchange.Redis client throws a timeout error similar to the following example:

System.TimeoutException: Timeout performing MGET 2728cc84-58ae-406b-8ec8-3f962419f641, inst: 1,mgr: Inactive, queue: 73, qu=6, qs=67, qc=0, wr=1/1, in=0/0 IOCP: (Busy=6, Free=999, Min=2,Max=1000), WORKER (Busy=7,Free=8184,Min=2,Max=8191)

This error message contains metrics that can help point you to the cause and possible resolution of the issue. The below table contains details about the error message metrics.


Here are the steps we follow to investigate possible root causes.

1. As a best practice, we make sure that the customer is using the following pattern to connect when using the StackExchange.Redis client.

private static Lazy<ConnectionMultiplexer> lazyConnection = new Lazy<ConnectionMultiplexer>(() =>
return ConnectionMultiplexer.Connect(",abortConnect=false,ssl=true,password=...");


public static ConnectionMultiplexer Connection
return lazyConnection.Value;

2. Ensure that the server and the client application are in the same region in Azure.

3. We make sure to use the latest version of the StackExchange.Redis NuGet package.

4. If the requests are bound by bandwidth limitations on the server or client, it takes longer for them to complete and can cause timeouts. We see if the timeout is because of network bandwidth on the server, or because of client network bandwidth and take respective action.

5. We check if we are getting CPU bound on the server or on the client. High CPU causes the request not to process within the synctimeout interval and causes a request to time out.
Also, we check if we are getting CPU bound on the server by monitoring the CPU cache performance metric.

6. Long-running commands that are taking a long time to process on the Redis-server can cause timeouts. So we make use of SLOWLOG commands.

7. Timeouts can also occur due to the High Redis server load. We monitor the server load by monitoring the Redis Server Load cache performance metric.


[Need any further assistance with Azure queries? – We are here to help you.]



Today, we saw how our Support Engineers troubleshoot Azure Cache for Redis timeouts.


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