steampipe plugin install azure

Table: azure_compute_disk_metric_read_ops - Query Azure Compute Disk Metrics using SQL

Azure Compute Disk Metrics is a resource within Microsoft Azure that allows you to monitor and analyze the performance of your Azure managed disks. It provides detailed information about read and write operations, throughput, and latency for your disks. Azure Compute Disk Metrics helps you understand disk performance and identify potential bottlenecks or performance issues.

Table Usage Guide

The azure_compute_disk_metric_read_ops table provides insights into read operations on Azure managed disks. As a system administrator or DevOps engineer, explore disk-specific details through this table, including the number of read operations, the time of the operations, and associated metadata. Utilize it to monitor and analyze disk performance, identify potential bottlenecks, and optimize disk usage.

Examples

Basic info

Explore the performance of Azure compute disks over time by assessing the minimum, maximum, and average read operations. This can help determine potential bottlenecks and optimize disk usage for better system performance.

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

Operations Over 10 Bytes average

Determine the performance of Azure Compute Disks by identifying instances where the average read operations exceed 10 bytes. This is useful to monitor and optimize disk usage for improved system performance.

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
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
where
average > 10
order by
name,
timestamp;

Schema for azure_compute_disk_metric_read_ops

NameTypeOperatorsDescription
_ctxjsonbSteampipe context in JSON form.
averagedouble precisionThe average of the metric values that correspond to the data point.
cloud_environmenttextThe Azure Cloud Environment.
maximumdouble precisionThe maximum metric value for the data point.
minimumdouble precisionThe minimum metric value for the data point.
nametextThe name of the disk.
resource_grouptextThe resource group which holds this resource.
sample_countdouble precisionThe number of metric values that contributed to the aggregate value of this data point.
sp_connection_nametext=, !=, ~~, ~~*, !~~, !~~*Steampipe connection name.
sp_ctxjsonbSteampipe context in JSON form.
subscription_idtext=, !=, ~~, ~~*, !~~, !~~*The Azure Subscription ID in which the resource is located.
sumdouble precisionThe sum of the metric values for the data point.
timestamptimestamp with time zoneThe time stamp used for the data point.
unittextThe 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