Table: oci_core_instance_metric_cpu_utilization_daily - Query OCI Core Instance Metrics using SQL

OCI Core Instances are virtual servers in the Oracle Cloud Infrastructure that offer flexible and scalable computing capabilities. They are part of the Compute service and can run both Windows and Linux operating systems. Instances are the building blocks of applications deployed in the cloud.

Table Usage Guide

The oci_core_instance_metric_cpu_utilization_daily table provides insights into the daily CPU utilization metrics of OCI Core Instances. As a system administrator or a DevOps engineer, you can explore CPU usage details through this table, including maximum, minimum, and average utilization. Utilize it to monitor CPU performance, identify instances with high CPU usage, and plan capacity effectively.

Examples

Basic info

Analyze the daily CPU utilization metrics of your OCI Core instances to understand usage patterns and performance trends. This can assist in optimizing resource allocation and identifying potential bottlenecks or underutilized instances.

select
  id,
  timestamp,
  minimum,
  maximum,
  average,
  sample_count
from
  oci_core_instance_metric_cpu_utilization_daily
order by
  id,
  timestamp;

select
  id,
  timestamp,
  minimum,
  maximum,
  average,
  sample_count
from
  oci_core_instance_metric_cpu_utilization_daily
order by
  id,
  timestamp;

CPU Over 80% average

Analyze the settings to understand instances where CPU utilization exceeds 80% on average. This is useful to identify potential performance issues and manage resource allocation effectively.

select
  id,
  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
  oci_core_instance_metric_cpu_utilization_daily
where
  average > 8
order by
  id,
  timestamp;

select
  id,
  timestamp,
  round(minimum, 2) as min_cpu,
  round(maximum, 2) as max_cpu,
  round(average, 2) as avg_cpu,
  sample_count
from
  oci_core_instance_metric_cpu_utilization_daily
where
  average > 8
order by
  id,
  timestamp;

Query examples

Schema for oci_core_instance_metric_cpu_utilization_daily

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
average	double precision		The average of the metric values that correspond to the data point.
compartment_id	text		The ID of the compartment.
id	text		The OCID of the 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.
region	text		The OCI 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.
tenant_id	text	=, !=, ~~, ~~, !~~, !~~	The OCID of the Tenant in which the resource is located.
tenant_name	text		The name of the Tenant in which the resource is located.
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)" -- oci

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

steampipe_export_oci --config '<your_config>' oci_core_instance_metric_cpu_utilization_daily