steampipe plugin install aws

Table: aws_elasticache_redis_metric_cache_hits_hourly - Query Amazon ElastiCache Redis Cache Hits using SQL

The Amazon ElastiCache Redis is a web service that makes it easy to set up, manage, and scale a distributed in-memory data store or cache environment in the cloud. It provides a high-performance, scalable, and cost-effective caching solution, while removing the complexity associated with managing a distributed cache environment. The 'Cache Hits' metric specifically provides the number of successful read-only key lookups in the main dictionary on an hourly basis.

Table Usage Guide

The aws_elasticache_redis_metric_cache_hits_hourly table in Steampipe provides you with information about the cache hits metrics of Amazon ElastiCache Redis instances on an hourly basis. This table allows you as a system administrator or a DevOps engineer to monitor and analyze the performance of Redis cache nodes by querying the cache hits metrics. You can utilize this table to gather insights on cache hits, such as the number of successful lookup of keys in the cache, and to understand the efficiency of your cache configurations. The schema outlines the various attributes of the cache hits metrics for you, including the timestamp, cache hits, dimensions, and more.

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

Examples

Basic info

Determine the efficiency of your AWS ElastiCache Redis instances by analyzing cache hit metrics over time. This can help optimize performance and resource utilization.

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

CacheHit sum below 10

The query is used to monitor the performance of your AWS ElastiCache Redis clusters by identifying instances where the sum of cache hits falls below 10 in an hour. This can help you pinpoint potential issues and optimize your cache usage for improved application performance.

select
cache_cluster_id,
timestamp,
round(sum :: numeric, 2) as sum_cachehits,
round(average :: numeric, 2) as average_cachehits,
sample_count
from
aws_elasticache_redis_metric_cache_hits_hourly
where
sum < 10
order by
cache_cluster_id,
timestamp;
select
cache_cluster_id,
timestamp,
round(sum, 2) as sum_cachehits,
round(average, 2) as average_cachehits,
sample_count
from
aws_elasticache_redis_metric_cache_hits_hourly
where
sum < 10
order by
cache_cluster_id,
timestamp;

CacheHit hourly average < 100

Explore the performance of your AWS ElastiCache Redis clusters by identifying instances where the hourly average of cache hits is less than 100. This can help pinpoint potential areas of concern and optimize the usage of your cache clusters.

select
cache_cluster_id,
timestamp,
round(minimum :: numeric, 2) as min_cachehits,
round(maximum :: numeric, 2) as max_cachehits,
round(average :: numeric, 2) as avg_cachehits,
sample_count
from
aws_elasticache_redis_metric_cache_hits_hourly
where
average < 100
order by
cache_cluster_id,
timestamp;
select
cache_cluster_id,
timestamp,
round(minimum, 2) as min_cachehits,
round(maximum, 2) as max_cachehits,
round(average, 2) as avg_cachehits,
sample_count
from
aws_elasticache_redis_metric_cache_hits_hourly
where
average < 100
order by
cache_cluster_id,
timestamp;

Schema for aws_elasticache_redis_metric_cache_hits_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_cache_hits_hourly