Table: aws_elasticache_redis_metric_list_based_cmds_hourly - Query AWS ElastiCache Redis Metrics using SQL

The AWS ElastiCache Redis Metrics service allows you to monitor, isolate, and diagnose performance issues in your ElastiCache Redis environments using SQL. It provides important insights into the operational health of your ElastiCache Redis instances by collecting and analyzing key database performance metrics. This service enables efficient troubleshooting and performance optimization of your ElastiCache Redis environments.

Table Usage Guide

The aws_elasticache_redis_metric_list_based_cmds_hourly table in Steampipe provides you with information about list-based command metrics within AWS ElastiCache Redis. This table allows you, as a DevOps engineer, to query command-specific details on an hourly basis, including the number of commands processed, the latency of commands, and associated metadata. You can utilize this table to gather insights on command performance, such as identifying high latency commands, tracking the frequency of command usage, and more. The schema outlines the various attributes of the ElastiCache Redis command metrics, including the cache cluster id, the metric name, and the timestamp.

The aws_elasticache_redis_metric_list_based_cmds_hourly table provides you with metric statistics at 1 hour intervals for the most recent 60 days.

Examples

Basic info

Determine the performance trends of your ElastiCache Redis clusters by analyzing hourly metrics. This can help in identifying patterns, optimizing resource usage and planning for capacity upgrades.

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

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

listbasedcmds sum over 100

This query is useful for monitoring your AWS ElastiCache Redis clusters by identifying instances where the sum of list-based commands executed per hour exceeds 100. This can help in optimizing your cache usage by pinpointing areas of high command activity.

select
  cache_cluster_id,
  timestamp,
  round(minimum :: numeric, 2) as min_listbasedcmds,
  round(maximum :: numeric, 2) as max_listbasedcmds,
  round(average :: numeric, 2) as avg_listbasedcmds,
  round(sum :: numeric, 2) as sum_listbasedcmds
from
  aws_elasticache_redis_metric_list_based_cmds_hourly
where
  sum > 100
order by
  cache_cluster_id,
  timestamp;

select
  cache_cluster_id,
  timestamp,
  round(minimum, 2) as min_listbasedcmds,
  round(maximum, 2) as max_listbasedcmds,
  round(average, 2) as avg_listbasedcmds,
  round(sum, 2) as sum_listbasedcmds
from
  aws_elasticache_redis_metric_list_based_cmds_hourly
where
  sum > 100
order by
  cache_cluster_id,
  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_elasticache_redis_metric_list_based_cmds_hourly