AWS Case Study

ElastiCache

Use this page as a service-specific case-study starter for architecture, simulation, and optimization scenarios in pinpole.cloud.

Why this service matters

ElastiCache (Redis/Memcached) is the low-latency cache layer. It reduces pressure on DynamoDB and improves p95 latency for hot reads.

Power:
- Microsecond–millisecond latency
- Very high ops/sec for hot keys
- Great for caching, rate limiting, sessions, leaderboards

Hard limits / constraints (practical):

Important workflows

  • Flush Cache - Clear keys (dangerous in prod)
  • Enable Cluster Mode - Scale out shards for throughput
  • Profile Hot Keys - Find cache hotspots and skew

Configuration sections

  • Why ElastiCache (Power + Limits)
  • Engine & Sizing
  • Cache Strategy
  • Limits, Bottlenecks, Pro Tips
  • Why ElastiCache (Power + Limits)
  • Service Endpoints (Standard / FIPS / Dualstack)
  • Service Quotas (Resources)

Key configuration points

PointDefault / ValueCategory
EnabledtrueEngine & Sizing
EngineredisEngine & Sizing
Node Typecache.t3.microEngine & Sizing
Nodes (replicas for non-cluster)1Engine & Sizing
Cluster Mode (Redis Sharding)falseEngine & Sizing
Shard Count2Engine & Sizing
Patterncache-asideCache Strategy
Default TTL (seconds)60Cache Strategy
TTL JittertrueCache Strategy
Stampede ProtectiontrueCache Strategy
Regionus-east-1Service Endpoints (Standard / FIPS / Dualstack)
Endpoint TypestandardService Endpoints (Standard / FIPS / Dualstack)
Back to pinpole.cloud landing page