Table: aws_rds_db_instance_metric_write_iops_daily - Query AWS RDS DBInstance using SQL

The AWS RDS DBInstance is a relational database service that provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. The 'write_iops_daily' metric provides the average number of disk I/O operations per second over a specified period of time. This can be used to monitor the performance of your database instance, helping to identify potential issues and optimize performance.

Table Usage Guide

The aws_rds_db_instance_metric_write_iops_daily table in Steampipe provides you with information about the daily write IOPS (Input/Output Operations Per Second) metrics for each AWS RDS DBInstance. This table allows you, as a DevOps engineer, DBA, or other technical professional, to query and analyze the daily write IOPS metrics, which can be critical for your performance tuning, capacity planning, and cost management. The schema outlines the various attributes of the daily write IOPS metrics, including the DBInstance identifier, timestamp, minimum, maximum, sum, and average values, among others.

The aws_rds_db_instance_metric_write_iops_daily table provides you with metric statistics at 24 hour intervals for the last year.

Examples

Basic info

Explore the performance of your AWS RDS database instances by tracking daily write operations. This allows you to identify instances with high or low activity, helping in capacity planning and performance optimization.

select
  db_instance_identifier,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  aws_rds_db_instance_metric_write_iops_daily
order by
  db_instance_identifier,
  timestamp;

select
  db_instance_identifier,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  aws_rds_db_instance_metric_write_iops_daily
order by
  db_instance_identifier,
  timestamp;

Intervals where volumes exceed 1000 average write ops

Explore instances where the daily write operations on your AWS RDS database instances exceed an average of 1000. This helps in identifying potential performance bottlenecks and planning for capacity upgrades.

select
  db_instance_identifier,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  aws_rds_db_instance_metric_write_iops_daily
where
  average > 1000
order by
  db_instance_identifier,
  timestamp;

select
  db_instance_identifier,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  aws_rds_db_instance_metric_write_iops_daily
where
  average > 1000
order by
  db_instance_identifier,
  timestamp;

Intervals where volumes exceed 8000 max write ops

Explore instances where the maximum write operations on your AWS RDS instances exceed 8000, providing insights into potential performance bottlenecks or capacity issues. This could be useful in managing resources and ensuring optimal performance of your database instances.

select
  db_instance_identifier,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  aws_rds_db_instance_metric_write_iops_daily
where
  maximum > 8000
order by
  db_instance_identifier,
  timestamp;

select
  db_instance_identifier,
  timestamp,
  minimum,
  maximum,
  average,
  sum,
  sample_count
from
  aws_rds_db_instance_metric_write_iops_daily
where
  maximum > 8000
order by
  db_instance_identifier,
  timestamp;

Read, Write, and Total IOPS

Gain insights into the average, maximum, and minimum input/output operations per second (IOPS) for each database instance over time. This can help in understanding the performance of your databases and identifying any potential bottlenecks or areas for optimization.

select
  r.db_instance_identifier,
  r.timestamp,
  round(r.average) + round(w.average) as iops_avg,
  round(r.average) as read_ops_avg,
  round(w.average) as write_ops_avg,
  round(r.maximum) + round(w.maximum) as iops_max,
  round(r.maximum) as read_ops_max,
  round(w.maximum) as write_ops_max,
  round(r.minimum) + round(w.minimum) as iops_min,
  round(r.minimum) as read_ops_min,
  round(w.minimum) as write_ops_min
from
  aws_rds_db_instance_metric_read_iops_daily as r,
  aws_rds_db_instance_metric_write_iops_daily as w
where
  r.db_instance_identifier = w.db_instance_identifier
  and r.timestamp = w.timestamp
order by
  r.db_instance_identifier,
  r.timestamp;

select
  r.db_instance_identifier,
  r.timestamp,
  round(r.average) + round(w.average) as iops_avg,
  round(r.average) as read_ops_avg,
  round(w.average) as write_ops_avg,
  round(r.maximum) + round(w.maximum) as iops_max,
  round(r.maximum) as read_ops_max,
  round(w.maximum) as write_ops_max,
  round(r.minimum) + round(w.minimum) as iops_min,
  round(r.minimum) as read_ops_min,
  round(w.minimum) as write_ops_min
from
  aws_rds_db_instance_metric_read_iops_daily as r,
  aws_rds_db_instance_metric_write_iops_daily as w
where
  r.db_instance_identifier = w.db_instance_identifier
  and r.timestamp = w.timestamp
order by
  r.db_instance_identifier,
  r.timestamp;

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)" -- aws

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

steampipe_export_aws --config '<your_config>' aws_rds_db_instance_metric_write_iops_daily