steampipe plugin install aws

Table: aws_dynamodb_metric_account_provisioned_read_capacity_util - Query AWS DynamoDB Metrics using SQL

The AWS DynamoDB Metrics service provides detailed performance metrics for your DynamoDB tables. One such metric is the Account Provisioned Read Capacity Utilization, which measures the percentage of provisioned read capacity units that your application consumes. This allows you to monitor your application's read activity and optimize your provisioned read capacity units for cost-effectiveness and performance.

Table Usage Guide

The aws_dynamodb_metric_account_provisioned_read_capacity_util table in Steampipe provides you with information about account provisioned read capacity utilization metrics within AWS DynamoDB. This table allows you, as a DevOps engineer, to query metric-specific details, including the average, maximum, and minimum read capacity utilization. You can utilize this table to gather insights on DynamoDB performance, such as understanding the read capacity utilization of your DynamoDB tables, identifying potential performance bottlenecks, and planning capacity accordingly. The schema outlines the various attributes of the DynamoDB metric, including the region, account_id, and timestamp for you.

Examples

Basic info

Determine the areas in which your AWS DynamoDB account's provisioned read capacity is being utilized. This can help in monitoring resource usage over time and planning for future capacity needs.

select
account_id,
timestamp,
minimum,
maximum,
average,
sum,
sample_count
from
aws_dynamodb_metric_account_provisioned_read_capacity_util
order by
timestamp;
select
account_id,
timestamp,
minimum,
maximum,
average,
sum,
sample_count
from
aws_dynamodb_metric_account_provisioned_read_capacity_util
order by
timestamp;

Intervals where throughput exceeds 80 percent

Analyze the instances where the provisioned read capacity utilization of your AWS DynamoDB account exceeds 80 percent. This can help in identifying periods of high demand and assist in capacity planning to ensure optimal performance.

select
account_id,
timestamp,
minimum,
maximum,
average,
sum,
sample_count
from
aws_dynamodb_metric_account_provisioned_read_capacity_util
where
maximum > 80
order by
timestamp;
select
account_id,
timestamp,
minimum,
maximum,
average,
sum,
sample_count
from
aws_dynamodb_metric_account_provisioned_read_capacity_util
where
maximum > 80
order by
timestamp;

Schema for aws_dynamodb_metric_account_provisioned_read_capacity_util

NameTypeOperatorsDescription
_ctxjsonbSteampipe context in JSON form, e.g. connection_name.
account_idtextThe AWS Account ID in which the resource is located.
averagedouble precisionThe average of the metric values that correspond to the data point.
maximumdouble precisionThe maximum metric value for the data point.
metric_nametextThe name of the metric.
minimumdouble precisionThe minimum metric value for the data point.
namespacetextThe metric namespace.
partitiontextThe AWS partition in which the resource is located (aws, aws-cn, or aws-us-gov).
regiontextThe AWS Region in which the resource is located.
sample_countdouble precisionThe number of metric values that contributed to the aggregate value of this data point.
sumdouble precisionThe sum of the metric values for the data point.
timestamptimestamp with time zoneThe time stamp used for the data point.
unittextThe 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)" -- aws

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

steampipe_export_aws --config '<your_config>' aws_dynamodb_metric_account_provisioned_read_capacity_util