Table: alicloud_rds_instance_metric_cpu_utilization - Query Alicloud RDS Instance Metrics using SQL

Alicloud Relational Database Service (RDS) is a stable and reliable online database service that supports MySQL, SQL Server, and PostgreSQL. RDS handles routine database tasks such as patching and backup, freeing up time to focus on application development. It provides high performance and high availability with automatic failover.

Table Usage Guide

The alicloud_rds_instance_metric_cpu_utilization table provides insights into the CPU utilization of Alicloud RDS instances. As a database administrator, you can gain detailed information about the CPU usage of your RDS instances, helping you to monitor performance and identify potential bottlenecks or over-utilization. This table is particularly useful for optimizing resource allocation and maintaining efficient database operations.

Examples

Basic info

Explore the utilization of CPU resources over time for various database instances. This information can help in optimizing resource allocation, identifying performance bottlenecks, and planning for capacity.

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

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

CPU over 80% average

Determine the areas in your Alicloud RDS instances where the average CPU utilization exceeds 80%. This can be useful for identifying potential performance issues, enabling proactive management and optimization of resources.

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
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
where
  average > 80
order by
  db_instance_id,
  timestamp;

Schema for alicloud_rds_instance_metric_cpu_utilization

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