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

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
account_id	text	=, !=, ~~, ~~, !~~, !~~	The AWS Account ID in which the resource is located.
average	double precision		The average of the metric values that correspond to the data point.
cache_cluster_id	text		The cache cluster id.
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.
partition	text		The AWS partition in which the resource is located (aws, aws-cn, or aws-us-gov).
region	text		The AWS Region in which the resource is located.
sample_count	double precision		The number of metric values that contributed to the aggregate value of this data point.
sp_connection_name	text	=, !=, ~~, ~~, !~~, !~~	Steampipe connection name.
sp_ctx	jsonb		Steampipe context in JSON form.
sum	double precision		The sum of the metric values for the data point.
timestamp	timestamp with time zone		The time stamp used for the data point.
unit	text		The 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