Table: alicloud_ecs_disk_metric_read_iops_hourly - Query Alibaba Cloud ECS Disk Metrics using SQL

Elastic Compute Service (ECS) Disks in Alibaba Cloud are block-level storage devices that can be attached to ECS instances. These disks provide persistent block storage capacity and are designed for high performance and low latency. Metrics related to ECS Disks, such as read IOPS, can provide valuable insights into disk performance and usage patterns.

Table Usage Guide

The alicloud_ecs_disk_metric_read_iops_hourly table provides insights into the hourly read IOPS of ECS Disks within Alibaba Cloud Elastic Compute Service. As a system administrator or DevOps engineer, explore disk-specific details through this table, including the read IOPS, which can indicate the performance of the disk and identify potential bottlenecks. Utilize it to monitor and optimize disk performance, ensuring efficient operation of your Alibaba Cloud ECS instances.

Examples

Basic info

Analyze the hourly read operations per second on your Alibaba Cloud ECS Disks to understand their performance trends. This can help identify instances where the disk performance might be impacting your application's efficiency.

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

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

Intervals where operation exceed 1000 average write iops

Explore which instances have operation intervals exceeding an average of 1000 write IOPS. This is useful for identifying potential areas of high disk usage and for optimizing resource allocation.

select
  instance_id,
  timestamp,
  round(minimum :: numeric, 2) as min_ops,
  round(maximum :: numeric, 2) as max_ops,
  round(average :: numeric, 2) as avg_ops
from
  alicloud_ecs_disk_metric_read_iops_hourly
where
  average > 1000
order by
  instance_id,
  timestamp;

select
  instance_id,
  timestamp,
  round(minimum, 2) as min_ops,
  round(maximum, 2) as max_ops,
  round(average, 2) as avg_ops
from
  alicloud_ecs_disk_metric_read_iops_hourly
where
  average > 1000
order by
  instance_id,
  timestamp;

Query examples

ecs_disk_top_10_read_ops_avg

Schema for alicloud_ecs_disk_metric_read_iops_hourly

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.
instance_id	text		An unique identifier for the resource.
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_ecs_disk_metric_read_iops_hourly