Table: azure_compute_disk_metric_write_ops_hourly - Query Azure Compute Disk Metrics using SQL

Azure Compute Disk Metrics is a service within Microsoft Azure that allows users to monitor and track the performance of their Azure disks. It provides detailed data about the number of read and write operations, the amount of data transferred, and the latency of these operations. This service is crucial for understanding disk usage patterns, identifying potential bottlenecks, and optimizing performance.

Table Usage Guide

The azure_compute_disk_metric_write_ops_hourly table provides insights into the hourly write operations of Azure Compute Disks. As a system administrator or DevOps engineer, explore disk-specific details through this table, including the number of write operations and the time of these operations. Utilize it to understand disk usage patterns, identify potential performance bottlenecks, and optimize your Azure disk configurations.

Examples

Basic info

Explore the performance of Azure compute disks over time by tracking the minimum, maximum, and average write operations per hour. This can help in identifying usage patterns, planning capacity, and troubleshooting performance issues.

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

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

Operations Over 10 Bytes average

This query is used to track the performance of Azure compute disks, specifically focusing on those with an average of more than 10 write operations per hour. By doing so, it helps in identifying potential bottlenecks and ensuring optimal disk performance.

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_hourly
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_hourly
where
  average > 10
order by
  name,
  timestamp;

Schema for azure_compute_disk_metric_write_ops_hourly

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_hourly