Table: alicloud_rds_instance_metric_cpu_utilization_hourly

Alicloud Monitoring metrics provide data about the performance of your systems. The alicloud_rds_instance_metric_cpu_utilization_hourly table provides metric statistics at 1 hour intervals for the most recent 30 days.

Note: If the instance is not older than 1 hour then we will not get any metric statistics.

Examples

Basic info

Analyze the settings to understand the CPU utilization of each database instance over time. This can help in assessing the performance and identifying potential bottlenecks.

select
  db_instance_id,
  timestamp,
  minimum,
  maximum,
  average
from
  alicloud_rds_instance_metric_cpu_utilization_hourly
order by
  db_instance_id,
  timestamp;

select
  db_instance_id,
  timestamp,
  minimum,
  maximum,
  average
from
  alicloud_rds_instance_metric_cpu_utilization_hourly
order by
  db_instance_id,
  timestamp;

CPU over 80% average

Determine the areas in which database instances are experiencing high CPU utilization, specifically where the average CPU usage exceeds 80%. This can assist in identifying potential performance issues and optimizing resource allocation.

select
  db_instance_id,
  timestamp,
  round(minimum :: numeric, 2) as min_cpu,
  round(maximum :: numeric, 2) as max_cpu,
  round(average :: numeric, 2) as avg_cpu
from
  alicloud_rds_instance_metric_cpu_utilization_hourly
where
  average > 80
order by
  db_instance_id,
  timestamp;

select
  db_instance_id,
  timestamp,
  round(minimum, 2) as min_cpu,
  round(maximum, 2) as max_cpu,
  round(average, 2) as avg_cpu
from
  alicloud_rds_instance_metric_cpu_utilization_hourly
where
  average > 80
order by
  db_instance_id,
  timestamp;

Query examples

rds_instance_top10_cpu_past_week

Schema for alicloud_rds_instance_metric_cpu_utilization_hourly

Name	Type	Description
_ctx	jsonb	Steampipe context in JSON form, e.g. connection_name.
average	double precision	The average of the metric values that correspond to the data point.
db_instance_id	text	The ID of the single instance to query.
maximum	double precision	The maximum metric value for the data point.
metric_name	text	The name of the metric.
minimum	double precision	The minimum metric value for the data point.
namespace	text	The metric namespace.
timestamp	timestamp with time zone	The timestamp used for the data point.

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)" -- alicloud

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

steampipe_export_alicloud --config '<your_config>' alicloud_rds_instance_metric_cpu_utilization_hourly