Table: azure_compute_disk_metric_read_ops_daily - Query Azure Compute Disk Metrics using SQL

Azure Compute Disk Metrics is a feature within Microsoft Azure that provides data about the performance of Azure managed disks. It provides detailed information about disk read operations, write operations, and other disk performance metrics. This feature helps users monitor and optimize the performance of their Azure managed disks.

Table Usage Guide

The azure_compute_disk_metric_read_ops_daily table provides insights into the daily read operations of Azure managed disks. As a system administrator or DevOps engineer, use this table to monitor disk performance and identify potential bottlenecks or performance issues. This table can be particularly useful in optimizing disk usage and ensuring efficient operation of your Azure resources.

Examples

Basic info

Explore the daily read operations on Azure compute disks to gain insights into the average, minimum, and maximum operations, along with the sample count. This is useful for tracking disk usage patterns and identifying any unusual activity or potential bottlenecks.

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

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

Operations Over 10 Bytes average

This query is used to monitor the performance of Azure Compute Disk operations by identifying those with an average read operation count exceeding 10 per day. It allows for effective resource management by highlighting areas where usage may be higher than expected.

select
  name,
  timestamp,
  round(minimum :: numeric, 2) as min_read_ops,
  round(maximum :: numeric, 2) as max_read_ops,
  round(average :: numeric, 2) as avg_read_ops,
  sample_count
from
  azure_compute_disk_metric_read_ops_daily
where
  average > 10
order by
  name,
  timestamp;

select
  name,
  timestamp,
  round(minimum, 2) as min_read_ops,
  round(maximum, 2) as max_read_ops,
  round(average, 2) as avg_read_ops,
  sample_count
from
  azure_compute_disk_metric_read_ops_daily
where
  average > 10
order by
  name,
  timestamp;

Schema for azure_compute_disk_metric_read_ops_daily

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_read_ops_daily