An Azure service that stores unstructured data in the cloud as blobs.
Hello Jonathan Roy-Noel
When you perform any operation from machine to server, so main factors which play role in terms of process is:
Server Processing Time => Network Time to reach to client => Client machine processing time
Please find below information on latency.
E2ELatency (duration): The total time in milliseconds taken to complete a request in the Windows Azure Storage Service. This value includes the required processing time within Windows Azure Storage to read the request, send the response, and receive acknowledgement of the response.
Server Latency (duration): The total processing time in milliseconds taken by the Windows Azure Storage Service to process a request. This value does not include the network latency specified in E2E Latency.
A high E2E latency points to either a client-side performance issue and/or network latency. To analyze this further, you could check on the below parameters at the client side.
- High CPU on the client.
- Low available memory on the client.
- Running out of network bandwidth on the client.
- Misconfigured client application.
Latency in Blob storage - Azure Storage | Microsoft Learn
You can also check this metric in Azure Portal which provides you a picture of Success Server Latency and Success E2E latency.
Monitor and troubleshoot Azure Storage (classic logs & metrics) - Azure | Microsoft Learn
You can compare both Success E2E latency (Avg) and Success Server latency (Avg); both lines should be similar to pass. If they are not matching, check whether E2E latency or Server latency is higher. Please refer to the screenshot below for guidance on how to analyze.
Please find below the reference article which pointed at isolation of the latency issue from the storage end.
How to isolate latency issue for Azure Storage Account | Microsoft Community Hub
I hope the above answer helps you! Please let us know if you have any further questions.
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