eG Monitoring
 

Measures reported by AzrQuotaUsageTest

Quotas define the limits of resources that a user subscription can provision or consume. Azure uses limits and quotas to prevent budget overruns due to fraud, and to honor Azure capacity constraints. For example, a quota might allow a user to create up to five virtual machines (VMs). Each resource can have its own types of quotas.

If a quota/limit is exceeded, then the corresponding resource is throttled. This can impact performance and productivity significantly. This is why, it is imperative that administrators periodically compare the quotas with actual usage, and proactively detect if quotas are about to be exhausted/exceeded. These early pointers can help administrators plan the future capacity and support the continued use of the resource. Using the AzrQuotaUsageTest, this can be achieved!

This test reports the limit set for and real-time usage of each resource that Azure services subscribe to, and alerts administrators to potential quota violations. In the process, the test points administrators to the exact resources that are over-utilized. Detailed diagnostics provided by the test also reveal which provider in which location contributed to the abnormal usage of a resource.

Outputs of the test : One set of results for each resource subscribed to

The measures made by this test are as follows:

Measurement Description Measurement Unit Interpretation
totalUsage Indicates the total number of resources of this type used. Number Use the detailed diagnosis of this measure to know in which location and from which provider the resource is utilized the most. This insight will help you figure out where the usage excesses are. That should ideally be where you should start to optimize usage.
totalLimit Indicates the quota/limit set for this resource. Number  
quotaUsage Indicates the percentage of this resource's quota that is in use. Number A value close to 100% implies that the resource is about to exhaust its quota. In this case, use the detailed diagnosis of this measure to know in which location and from which provider the resource is utilized the most. This insight will help you figure out where the usage excesses are. That should ideally be where you should start to optimize usage.