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/amazon-elasticache

@b4416dd
by Amazon Web Servicesaws/agent-toolkit-for-aws2.8k stars
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Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS/Aurora scaling pressure, Bedrock latency or cost, or adding a cache; activate when working with Redis, Valkey, Memcached, or any in-memory data store, cache-aside patterns, session stores, rate limiting, leaderboards, counters, streams, queues, pub/sub, distributed locks, feature flags, shopping carts, or other caching strategies. Activate for GenAI and ML retrieval: vector similarity search for low-latency retrieval, semantic caching, RAG, LLM response caching, embedding stores, AI agent memory, recommendation, personalization. Activate for ElastiCache lifecycle: provisioning (serverless or node-based), engine selection, CloudFormation/CDK/Terraform IaC, VPC connectivity, TLS, RBAC, IAM auth, Global Datastore, monitoring, troubleshooting, cost optimization, and migration from self-managed Redis. Do not trigger for browser caches, CDN/CloudFront, HTTP Cache-Control, CPU caches.

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Use this Skill: https://skilld.dev/gh/aws/agent-toolkit-for-aws/amazon-elasticache

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referencesmonitoringcloudwatch-dashboards.md

≈2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

CloudWatch Dashboard Templates

Pre-built dashboard specifications for ElastiCache serverless and node-based deployments. Deploy via CloudFormation or use as a reference for manual dashboard creation.

Serverless Dashboard

Metrics focused on consumption-based billing, throttling, latency, and connection health.

Key Widgets

Widget Metric(s) Statistic Period Purpose
ECPU Consumption ElastiCacheProcessingUnits Sum 1 min Cost driver and usage trend
Throttled Commands ThrottledCmds Sum 1 min Indicates hitting usage limits
Cache Hit Rate CacheHitRate Average 5 min Data access efficiency
Read Latency SuccessfulReadRequestLatency p99, Average 1 min Client-perceived read performance
Write Latency SuccessfulWriteRequestLatency p99, Average 1 min Client-perceived write performance
Current Connections CurrConnections Maximum 1 min Connection pool health
New Connections NewConnections Sum 1 min Connection churn (high values suggest missing pooling)
Data Storage BytesUsedForCache Maximum 5 min Storage consumption vs. configured limit
Total Commands TotalCmdsCount Sum 1 min Overall command throughput
Cache Hits CacheHits Sum 1 min Successful key lookups
Cache Misses CacheMisses Sum 1 min Unsuccessful key lookups
Current Items CurrItems Maximum 1 min Number of items stored in cache
Volatile Items CurrVolatileItems Maximum 1 min Number of items with TTL set
Evictions Evictions Sum 5 min Keys evicted by the cache
Network In NetworkBytesIn Sum 1 min Bytes transferred into cache
Network Out NetworkBytesOut Sum 1 min Bytes transferred out of cache
Auth Failures AuthenticationFailures Sum 1 min Failed AUTH attempts (set alarm to detect unauthorized access)
Key Auth Failures KeyAuthorizationFailures Sum 1 min Failed key access attempts (set alarm to detect unauthorized access)
Command Auth Failures CommandAuthorizationFailures Sum 1 min Failed command authorization attempts (set alarm to detect unauthorized access)
IAM Auth Expirations IamAuthenticationExpirations Sum 1 min Expired IAM-authenticated connections
IAM Auth Throttling IamAuthenticationThrottling Sum 1 min Throttled IAM auth requests
String Commands StringBasedCmds Sum 1 min GET/SET workload volume
Hash Commands HashBasedCmds Sum 1 min Hash-based workload volume
Sorted Set Commands SortedSetBasedCmds Sum 1 min Leaderboard/ranking activity
List Commands ListBasedCmds Sum 1 min List-based workload volume
Set Commands SetBasedCmds Sum 1 min Set-based workload volume
Pub/Sub Commands PubSubBasedCmds Sum 1 min Real-time messaging activity
Key Commands KeyBasedCmds Sum 1 min Key management operations

Serverless also supports *ECPUs companions for each command-family metric (e.g., StringBasedCmdsECPUs) to track ECPU consumption by command type.

Use scripts/generate_dashboards.py to produce the full CloudFormation template from these widget specifications.

ECPU Cost Attribution by Command Type

For serverless caches, ElastiCache emits per-command-type ECPU metrics that are critical for understanding cost drivers in a consumption-based billing model:

Widget Metric(s) Statistic Period Purpose
Read ECPUs GetTypeCmdsECPUs Sum 1 min ECPUs consumed by read commands
Write ECPUs SetTypeCmdsECPUs Sum 1 min ECPUs consumed by write commands
Hash ECPUs HashBasedCmdsECPUs Sum 1 min ECPUs consumed by hash commands
String ECPUs StringBasedCmdsECPUs Sum 1 min ECPUs consumed by string commands
Sorted Set ECPUs SortedSetBasedCmdsECPUs Sum 1 min ECPUs consumed by sorted set commands
Stream ECPUs StreamBasedCmdsECPUs Sum 1 min ECPUs consumed by stream commands
List ECPUs ListBasedCmdsECPUs Sum 1 min ECPUs consumed by list commands
Set ECPUs SetBasedCmdsECPUs Sum 1 min ECPUs consumed by set commands
JSON ECPUs JsonBasedCmdsECPUs Sum 1 min ECPUs consumed by JSON commands
PubSub ECPUs PubSubBasedCmdsECPUs Sum 1 min ECPUs consumed by pub/sub commands
Key ECPUs KeyBasedCmdsECPUs Sum 1 min ECPUs consumed by key commands
Eval ECPUs EvalBasedCmdsECPUs Sum 1 min ECPUs consumed by eval commands
GeoSpatial ECPUs GeoSpatialBasedCmdsECPUs Sum 1 min ECPUs consumed by geospatial commands
HyperLogLog ECPUs HyperLogLogBasedCmdsECPUs Sum 1 min ECPUs consumed by HyperLogLog commands
NonKey ECPUs NonKeyTypeCmdsECPUs Sum 1 min ECPUs consumed by non-key commands

Generate via Script

python3 scripts/generate_dashboards.py --serverless <cache-name> --region us-east-1 --output serverless-dashboard.json

Node-Based Dashboard

Metrics focused on engine performance, memory pressure, replication health, and command workload distribution.

Key Widgets

Widget Metric(s) Statistic Period Purpose
Engine CPU EngineCPUUtilization Maximum 1 min Single-threaded engine bottleneck (most critical for performance)
Host CPU CPUUtilization Average 1 min Overall host CPU including background tasks
Memory Usage DatabaseMemoryUsagePercentage Maximum 1 min Memory pressure; triggers evictions when high
Capacity Usage DatabaseCapacityUsagePercentage Maximum 1 min DatabaseCapacityUsagePercentage is available on all node-based clusters. On data-tiering instances (r6gd), the formula includes SSD storage; on all other instances, it is calculated as used_memory/maxmemory.
Cache Hit Rate CacheHitRate Average 5 min Data access efficiency. CacheHitRate is available for both serverless and node-based Valkey/Redis OSS clusters.
Replication Lag ReplicationLag Maximum 1 min Replica staleness (seconds); critical for read consistency
Current Connections CurrConnections Maximum 1 min Connection pool health
Evictions Evictions Sum 5 min Keys evicted due to memory pressure
Network I/O NetworkBytesIn, NetworkBytesOut Sum 1 min Bandwidth utilization
String Commands StringBasedCmds Sum 1 min GET/SET workload volume
Hash Commands HashBasedCmds Sum 1 min Hash-based workload volume
Sorted Set Commands SortedSetBasedCmds Sum 1 min Leaderboard/ranking activity
Stream Commands StreamBasedCmds Sum 1 min Event stream workload
Search Commands SearchBasedCmds Sum 1 min Search command activity (includes all Search read and write commands; populates only when Valkey Search is in use)
JSON Commands JsonBasedCmds Sum 1 min JSON document usage
Pub/Sub Commands PubSubBasedCmds Sum 1 min Real-time messaging activity

Use scripts/generate_dashboards.py to produce the full CloudFormation template from these widget specifications.

Generate via Script

python3 scripts/generate_dashboards.py --replication-group <cluster-id> --region us-east-1 --output node-dashboard.json

Deploying Dashboards

After generating the CloudFormation template:

aws cloudformation deploy \
  --template-file serverless-dashboard.json \
  --stack-name my-cache-dashboard \
  --parameter-overrides ServerlessCacheName=my-cache Region=us-east-1 \
  --region us-east-1

Or for node-based:

aws cloudformation deploy \
  --template-file node-dashboard.json \
  --stack-name my-cluster-dashboard \
  --parameter-overrides ReplicationGroupId=my-cluster Region=us-east-1 \
  --region us-east-1

Source: SKILL.md on GitHub

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    This skill provides a comprehensive set of tools for managing Amazon ElastiCache, including provisioning, connectivity setup, and performance monitoring. It leverages standard AWS command-line tools and verified libraries to assist with database operations and cost optimization.

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Provenance

Signed by skilld at b4416dd. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 2 months ago

Capability

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