Auto-scale History for Azure Files Shares
The auto-scale history visualization helps you understand auto-scale behavior and how it impacts your deployment.
The following are important auto-scale history features.
Time Range: At the top of the window, select the desired time range to display.
Show: At the top of the window, select the desired graph(s) to display.
Savings: At the top of the window, you can view auto-scale savings.
Zoom In: For the Quota (GiB) graph only, click and drag the mouse over the section of the graph you wish to zoom in on. When you are zoomed in, select Zoom-out to restore the full graph.
Hover: You can hover over any part of any graph to see its details. For example:
Scale Out: This action point indicates that a scale-out event took place. (Red indicates that the scale-out event is costing money.)
Scale In: This action point indicates that a scale-in event took place. (Green means that the scale-in event is saving money.)
Azure Issue: This indicates that there was a problem communicating with Azure. If this occurs frequently, please contact Nerdio Manager technical support.
At the bottom of any graph, select the data set name to toggle on/off the display line associated with that information. For example, select Peak Quota to suppress that line on the graph. Select it again to display it.
To view auto-scale history for an Azure Files share:
Navigate to Storage > Azure Files.
Locate the file share you wish to work with.
From the action menu, select Auto-scale > History.
Select the desired time range and the specific graphs to display.
Quota (GiB): The Quota graph displays the following information about the file share quota:
Peak Quota: The maximum size of the quota.
Actual Quota: The actual quota size as it is currently configured.
Used Capacity: The actual storage used.
Latency (ms): The Latency graph displays the following information:
Server Latency (avg): The average time used to process a successful request by Azure Storage. This value does not include the network latency specified in the End-to-End Latency.
End-to-End Latency (avg): The average end-to-end latency of successful requests made to a storage service or the specified API operation. This value includes the required processing time within Azure Storage to read the request, send the response, and receive acknowledgment of the response.
Transactions: The Transactions graph displays the number of transactions.
Savings%: The Savings graph displays the savings percentage.