alicloud_ecs_instance_metric_cpu_utilization_daily.md

title	description
Steampipe Table: alicloud_ecs_instance_metric_cpu_utilization_daily - Query Alibaba Cloud ECS Instance Metrics using SQL	Allows users to query ECS Instance Metrics in Alibaba Cloud, specifically the daily CPU utilization, providing insights into instance performance and usage patterns.

Table: alicloud_ecs_instance_metric_cpu_utilization_daily - Query Alibaba Cloud ECS Instance Metrics using SQL

Alibaba Cloud Elastic Compute Service (ECS) provides scalable, on-demand cloud servers for secure, flexible, and efficient application environments. It allows you to operate and manage online applications in a smoother, more reliable, and more secure manner. ECS instances are the fundamental computing unit provided by Alibaba Cloud ECS.

Table Usage Guide

The alicloud_ecs_instance_metric_cpu_utilization_daily table provides insights into ECS Instance Metrics within Alibaba Cloud Elastic Compute Service (ECS). As a system administrator or DevOps engineer, explore instance-specific details through this table, including daily CPU utilization. Utilize it to uncover information about instances, such as CPU usage patterns, which can help in performance optimization and capacity planning.

Examples

Basic info

Explore the daily CPU utilization patterns of your Alicloud ECS instances to monitor their performance and identify any irregularities. This can assist in optimizing resource allocation and identifying potential issues before they escalate.

select
  instance_id,
  timestamp,
  minimum,
  maximum,
  average
from
  alicloud_ecs_instance_metric_cpu_utilization_daily
order by
  instance_id,
  timestamp;

select
  instance_id,
  timestamp,
  minimum,
  maximum,
  average
from
  alicloud_ecs_instance_metric_cpu_utilization_daily
order by
  instance_id,
  timestamp;

CPU Over 80% average

Explore which Alicloud Elastic Compute Service (ECS) instances have an average CPU utilization exceeding 80%, allowing for proactive resource management and performance optimization. This helps in identifying potential bottlenecks and ensuring efficient usage of resources.

select
  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_ecs_instance_metric_cpu_utilization_daily
where average > 80
order by
  instance_id,
  timestamp;

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