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Rename subsection heading to 'Recommendations for Smaller SKUs'
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articles/redis/best-practices-server-load.md

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Redis server is a single-threaded system. Long running commands can cause latency or timeouts on the client side because the server can't respond to any other requests while it's busy working on a long running command. For more information, see [Troubleshoot Azure Cache for Redis server-side issues](troubleshoot-server.md).
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## Monitor Server Load
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## Monitor Server Load and CPU
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Add monitoring on server load to ensure you get notifications when high server load occurs. Monitoring can help you understand your application constraints. Then, you can work proactively to mitigate issues. We recommend trying to keep server load under 80% to avoid negative performance effects. Sustained server load over 80% can lead to unplanned failovers.
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Currently, Azure Managed Redis exposes two metrics in **Insights** under **Monitoring** on the Resource menu on the left of the portal: **CPU** and **Server Load**. Understanding what is measured by each metric is important when monitoring server load.

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