steampipe plugin install gcp

Table: gcp_compute_disk_metric_write_ops_hourly - Query Google Cloud Compute Engine Disks using SQL

Google Cloud Compute Engine Disks are persistent, high-performance block storage for Google Cloud's Virtual Machines (VMs). They offer a range of options to accommodate varying storage capacity, performance, and cost needs. These disks can be attached to instances within the same region.

Table Usage Guide

The gcp_compute_disk_metric_write_ops_hourly table provides insights into the hourly write operations of Google Cloud Compute Engine Disks. As a system administrator or DevOps engineer, explore disk-specific details through this table, including the number of write operations, associated metadata, and timestamps. Utilize it to monitor disk usage patterns, optimize disk performance, and troubleshoot potential issues.

GCP Monitoring metrics provide data about the performance of your systems. The gcp_compute_disk_metric_write_ops_hourly table provides metric statistics at 1 hour intervals for the most recent 60 days.

Examples

Basic info

Explore the performance of your Google Cloud Platform (GCP) compute disks by analyzing their hourly write operations. This can help you understand disk usage patterns, identify potential bottlenecks, and plan for capacity accordingly.

select
name,
minimum,
maximum,
average,
sample_count
from
gcp_compute_disk_metric_write_ops_hourly
order by
name;
select
name,
minimum,
maximum,
average,
sample_count
from
gcp_compute_disk_metric_write_ops_hourly
order by
name;

Intervals averaging over 100 write ops

Explore which disk operations have an average of over 10 write operations, allowing you to identify potential high-usage instances and optimize for better performance.

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

Schema for gcp_compute_disk_metric_write_ops_hourly

NameTypeOperatorsDescription
_ctxjsonbSteampipe context in JSON form.
averagedouble precisionThe average of the metric values that correspond to the data point.
locationtextThe GCP multi-region, region, or zone in which the resource is located.
maximumdouble precisionThe maximum metric value for the data point.
metadatajsonbThe associated monitored resource metadata.
metric_kindtextThe metric type.
metric_labelsjsonbThe set of label values that uniquely identify this metric.
metric_typetextThe associated metric. A fully-specified metric used to identify the time series.
minimumdouble precisionThe minimum metric value for the data point.
nametext=The name of the disk.
projecttext=, !=, ~~, ~~*, !~~, !~~*The GCP Project in which the resource is located.
resourcejsonbThe associated monitored 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.
sumdouble precisionThe sum of the metric values for the data point.
timestamptimestamp with time zoneThe time stamp used for the data point.
unittextThe data points of this time series. When listing time series, points are returned in reverse time order.When creating a time series, this field must contain exactly one point and the point's type must be the same as the value type of the associated metric. If the associated metric's descriptor must be auto-created, then the value type of the descriptor is determined by the point's type, which must be BOOL, INT64, DOUBLE, or DISTRIBUTION.

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)" -- gcp

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

steampipe_export_gcp --config '<your_config>' gcp_compute_disk_metric_write_ops_hourly