steampipe plugin install aws

Table: aws_elasticache_redis_metric_get_type_cmds_hourly - Query AWS ElastiCache Redis Metrics using SQL

The AWS ElastiCache Redis Metrics service provides valuable insights into the performance of your Redis data stores. It allows you to monitor key performance metrics, including the number of 'get type' commands executed per hour. These metrics can help you optimize the performance and efficiency of your Redis data stores.

Table Usage Guide

The aws_elasticache_redis_metric_get_type_cmds_hourly table in Steampipe provides you with information about the GET type commands executed in your selected AWS ElastiCache Redis cluster during the last hour. This table allows you, whether you're a DevOps engineer, database administrator, or other IT professional, to query and analyze the hourly GET type command metrics. This gives you insights into the performance and usage patterns of your ElastiCache Redis clusters. The schema outlines the various attributes of the ElastiCache Redis Metrics for you, including the average, maximum, minimum, sample count, and sum of GET type commands.

Your aws_elasticache_redis_metric_get_type_cmds_hourly table provides metric statistics at 1 hour intervals for the most recent 60 days.

Examples

Basic info

Analyze the performance of your AWS ElastiCache Redis clusters over time to ensure optimal resource utilization and response times. This practical application allows you to monitor and manage your clusters effectively, leading to improved performance and cost efficiency.

select
cache_cluster_id,
timestamp,
minimum,
maximum,
average,
sample_count
from
aws_elasticache_redis_metric_get_type_cmds_hourly
order by
cache_cluster_id,
timestamp;
select
cache_cluster_id,
timestamp,
minimum,
maximum,
average,
sample_count
from
aws_elasticache_redis_metric_get_type_cmds_hourly
order by
cache_cluster_id,
timestamp;

gettypecmds sum 0ver 100

Explore the performance of your AWS ElastiCache Redis clusters by identifying instances where the sum of 'get type' commands exceeds 100 in an hour. This can help in understanding usage patterns and planning for capacity upgrades or optimizations.

select
cache_cluster_id,
timestamp,
round(minimum :: numeric, 2) as min_gettypecmds,
round(maximum :: numeric, 2) as max_gettypecmds,
round(average :: numeric, 2) as avg_gettypecmds,
round(sum :: numeric, 2) as sum_gettypecmds
from
aws_elasticache_redis_metric_get_type_cmds_hourly
where
sum > 100
order by
cache_cluster_id,
timestamp;
select
cache_cluster_id,
timestamp,
round(minimum, 2) as min_gettypecmds,
round(maximum, 2) as max_gettypecmds,
round(average, 2) as avg_gettypecmds,
round(sum, 2) as sum_gettypecmds
from
aws_elasticache_redis_metric_get_type_cmds_hourly
where
sum > 100
order by
cache_cluster_id,
timestamp;

Schema for aws_elasticache_redis_metric_get_type_cmds_hourly

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.
cache_cluster_idtextThe cache cluster id.
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_elasticache_redis_metric_get_type_cmds_hourly