Metric chart examples

The Azure platform offers over a thousand metrics, many of which have dimensions. By using dimension filters, applying splitting, controlling chart type, and adjusting chart settings you can create powerful diagnostic views and dashboards that provide insight into the health of your infrastructure and applications. This article shows some examples of the charts that you can build using Metrics Explorer, and explains the necessary steps to configure each of these charts.

This chart shows if the CPU usage for an App Service Plan was within the acceptable range and breaks it down by instance to determine whether the load was properly distributed.

1. Select Metrics from the Monitoring section of your App service plan's menu
2. Select the CPU Percentage metric.
3. Select Apply splitting and select the Instance dimension.

View your application's availability by region to identify which geographic locations are having problems.

1. Turn on Application Insights availability monitoring for your website.
2. Select your Application Insights resource.
3. Select the Availability metric.
4. Apply splitting on the Run location dimension.

Your storage account resource is experiencing an excess volume of failed transactions. Use the transactions metric to identify which API is responsible for the excess failure. Notice that the following chart is configured with the same dimension (API name) in splitting and filtered by failed response type:

1. In the scope dropdown, select your Storage Account
2. In the metric dropdown, select the Transactions metric.
3. Select Add filter and select Response type from the Property dropdown.
4. Select CLientOtherError from the Values dropdown.
5. Select Apply splitting and select API name from the values dropdown.

You want to identify which collection in which database of your Cosmos DB instance is having maximum requests to adjust your costs for Cosmos DB.

1. In the scope dropdown, select your Cosmos DB.
2. In the metric dropdown, select Total Requests.
3. Select Apply splitting and select the DatabaseName and CollectionName dimensions from the Values dropdown.

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