Table: aws_rds_db_instance_metric_cpu_utilization - Query Amazon RDS DBInstanceCPUUtilization using SQL

The Amazon RDS DBInstanceCPUUtilization is a resource that provides metrics about the percentage of CPU utilization for an Amazon RDS instance. This metric allows you to monitor the compute load on your DB instance. By using SQL queries, you can retrieve and analyze these metrics to optimize the performance and resource usage of your Amazon RDS instances.

Table Usage Guide

The aws_rds_db_instance_metric_cpu_utilization table in Steampipe provides you with information about CPU utilization metrics for Amazon RDS DB instances. This table allows you, as a DevOps engineer, database administrator, or other technical professional, to query CPU utilization-specific details, including average, maximum, and minimum CPU utilization, along with associated timestamps. You can utilize this table to monitor and analyze the CPU usage of your RDS DB instances, helping you optimize resource usage, identify potential performance bottlenecks, and make informed scaling decisions. The schema outlines the various attributes of the CPU utilization metrics, including the DB instance identifier, period, unit, and statistical data.

The aws_rds_db_instance_metric_cpu_utilization table provides you with metric statistics at 5 minute intervals for the most recent 5 days.

Examples

Basic info

Explore the CPU utilization metrics of your AWS RDS database instances over time. This can help you understand usage patterns, identify potential performance issues, and plan for capacity management.

select
  db_instance_identifier,
  timestamp,
  minimum,
  maximum,
  average,
  sample_count
from
  aws_rds_db_instance_metric_cpu_utilization
order by
  db_instance_identifier,
  timestamp;

select
  db_instance_identifier,
  timestamp,
  minimum,
  maximum,
  average,
  sample_count
from
  aws_rds_db_instance_metric_cpu_utilization
order by
  db_instance_identifier,
  timestamp;

CPU Over 80% average

Identify instances where the average CPU utilization of an AWS RDS database instance exceeds 80%. This can aid in assessing the performance of your databases and pinpointing any potential areas of concern that may require optimization or resource scaling.

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

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

Schema for aws_rds_db_instance_metric_cpu_utilization

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
account_id	text	=, !=, ~~, ~~, !~~, !~~	The AWS Account ID in which the resource is located.
average	double precision		The average of the metric values that correspond to the data point.
db_instance_identifier	text		The friendly name to identify the DB Instance.
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.
partition	text		The AWS partition in which the resource is located (aws, aws-cn, or aws-us-gov).
region	text		The AWS Region in which the resource is located.
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.
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 standard unit 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)" -- aws

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

steampipe_export_aws --config '<your_config>' aws_rds_db_instance_metric_cpu_utilization