Table: azure_compute_disk_metric_write_ops - Query Azure Compute Disk Metrics using SQL

Azure Compute Disk Metrics is a feature within Microsoft Azure that allows monitoring and analysis of disk performance and usage. It offers detailed information on various metrics, such as write operations, enabling users to understand disk behavior and identify potential performance issues. This feature is crucial for maintaining optimal disk performance and managing storage resources efficiently.

Table Usage Guide

The azure_compute_disk_metric_write_ops table provides insights into write operations on Azure Compute Disks. As a system administrator or DevOps engineer, you can explore disk-specific details through this table, including the number of write operations, to understand disk usage patterns and potential performance bottlenecks. Utilize it to monitor and optimize disk performance, and ensure efficient resource management in your Azure environment.

Examples

Basic info

Explore which Azure compute disk has the most write operations over time. This can help optimize disk usage by identifying high-usage periods and potentially underutilized resources.

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

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

Operations Over 10 Bytes average

Determine the areas in which the average write operations on Azure compute disks exceed 10 bytes. This can be useful in identifying potential bottlenecks or high usage periods, enabling proactive management and optimization of disk resources.

select
  name,
  timestamp,
  round(minimum :: numeric, 2) as min_write_ops,
  round(maximum :: numeric, 2) as max_write_ops,
  round(average :: numeric, 2) as avg_write_ops,
  sample_count
from
  azure_compute_disk_metric_write_ops
where
  average > 10
order by
  name,
  timestamp;

select
  name,
  timestamp,
  round(minimum, 2) as min_write_ops,
  round(maximum, 2) as max_write_ops,
  round(average, 2) as avg_write_ops,
  sample_count
from
  azure_compute_disk_metric_write_ops
where
  average > 10
order by
  name,
  timestamp;

Schema for azure_compute_disk_metric_write_ops

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 disk.
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_disk_metric_write_ops