Table: alicloud_rds_instance_metric_cpu_utilization_daily - Query Alibaba Cloud RDS Instance Metrics using SQL

Alibaba Cloud Relational Database Service (RDS) is a stable and reliable online database service that supports MySQL, SQL Server, and PostgreSQL engines. It provides a complete set of solutions to handle disaster recovery, backup, restoration, monitoring, and migration, allowing users to focus on business innovation. RDS Instance Metrics provide detailed performance and health insights for instances within the RDS service.

Table Usage Guide

The alicloud_rds_instance_metric_cpu_utilization_daily table provides insights into the daily CPU utilization of RDS instances within Alibaba Cloud. As a database administrator or DevOps engineer, you can explore instance-specific details through this table, including CPU usage patterns, peak usage times, and potential performance bottlenecks. Utilize it to monitor and optimize resource usage, ensuring the efficient operation of your databases.

Examples

Basic info

Explore CPU usage patterns over time for your Alicloud RDS instances. This can help you understand the load on your databases, enabling you to optimize performance and manage resources effectively.

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

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

CPU over 80% average

Identify instances where the average CPU utilization exceeds 80% for daily metrics. This can be particularly useful for spotting potential performance issues in your database instances.

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_daily
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_daily
where
  average > 80
order by
  db_instance_id,
  timestamp;

Query examples

Schema for alicloud_rds_instance_metric_cpu_utilization_daily

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
account_id	text	=, !=, ~~, ~~, !~~, !~~	The Alicloud 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_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.
sp_connection_name	text	=, !=, ~~, ~~, !~~, !~~	Steampipe connection name.
sp_ctx	jsonb		Steampipe context in JSON form.
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_daily