Table: azure_compute_virtual_machine_metric_cpu_utilization - Query Azure Compute Virtual Machine Metrics using SQL

Azure Compute is a service within Microsoft Azure that allows you to deploy and manage virtual machines. These virtual machines can be used to run applications, host databases, and perform other computing tasks. The CPU utilization metric provides information on the percentage of total CPU resources that are being used by a virtual machine.

Table Usage Guide

The azure_compute_virtual_machine_metric_cpu_utilization table provides insights into the CPU utilization of virtual machines within Azure Compute. As a system administrator or DevOps engineer, explore CPU-specific details through this table, including the percentage of total CPU resources that are being used. Utilize it to monitor the performance of your virtual machines, identify those that are under heavy load, and make informed decisions about resource allocation and scaling.

Examples

Basic info

Determine the areas in which your Azure virtual machines' CPU utilization varies over time. This query helps you analyze performance trends and optimize resource allocation for improved efficiency.

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sample_count
from
  azure_compute_virtual_machine_metric_cpu_utilization
order by
  name,
  timestamp;

select
  name,
  timestamp,
  minimum,
  maximum,
  average,
  sample_count
from
  azure_compute_virtual_machine_metric_cpu_utilization
order by
  name,
  timestamp;

CPU Over 80% average

Determine the areas in which the average CPU usage of Azure virtual machines exceeds 80%. This can be useful to identify potential performance issues and optimize resource allocation.

select
  name,
  timestamp,
  round(minimum :: numeric, 2) as min_cpu,
  round(maximum :: numeric, 2) as max_cpu,
  round(average :: numeric, 2) as avg_cpu,
  sample_count
from
  azure_compute_virtual_machine_metric_cpu_utilization
where
  average > 80
order by
  name,
  timestamp;

select
  name,
  timestamp,
  round(minimum, 2) as min_cpu,
  round(maximum, 2) as max_cpu,
  round(average, 2) as avg_cpu,
  sample_count
from
  azure_compute_virtual_machine_metric_cpu_utilization
where
  average > 80
order by
  name,
  timestamp;

Schema for azure_compute_virtual_machine_metric_cpu_utilization

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
average	double precision		The average of the metric values that correspond to the data point.
cloud_environment	text		The Azure Cloud Environment.
maximum	double precision		The maximum metric value for the data point.
minimum	double precision		The minimum metric value for the data point.
name	text		The name of the virtual machine.
resource_group	text		The resource group which holds this resource.
sample_count	double precision		The number of metric values that contributed to the aggregate value of this data point.
sp_connection_name	text	=, !=, ~~, ~~, !~~, !~~	Steampipe connection name.
sp_ctx	jsonb		Steampipe context in JSON form.
subscription_id	text	=, !=, ~~, ~~, !~~, !~~	The Azure Subscription ID in which the resource is located.
sum	double precision		The sum of the metric values for the data point.
timestamp	timestamp with time zone		The time stamp used for the data point.
unit	text		The units in which the metric value is reported.

Export

This table is available as a standalone Exporter CLI. Steampipe exporters are stand-alone binaries that allow you to extract data using Steampipe plugins without a database.

You can download the tarball for your platform from the Releases page, but it is simplest to install them with the steampipe_export_installer.sh script:

/bin/sh -c "$(curl -fsSL https://steampipe.io/install/export.sh)" -- azure

You can pass the configuration to the command with the --config argument:

steampipe_export_azure --config '<your_config>' azure_compute_virtual_machine_metric_cpu_utilization