AWS Case Study

Amazon Aurora

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

Why this service matters

Aurora is MySQL/PostgreSQL-compatible relational DB with up to 5x MySQL and 3x PostgreSQL throughput.

Power:
- Auto-scaling storage up to 128 TiB
- Up to 15 read replicas
- Multi-AZ, Global Database, Serverless v2

Hard limits (key ones):

Important workflows

  • Design - Configure service behavior for your workload.

Configuration sections

  • Basics
  • Why Aurora (Power + Limits)
  • Service Endpoints (Standard / FIPS)
  • Service Quotas (Resources)

Key configuration points

PointDefault / ValueCategory
Regionus-east-1Service Endpoints (Standard / FIPS)
Endpoint TypestandardService Endpoints (Standard / FIPS)
ProtocolHTTPSService Endpoints (Standard / FIPS)
Authorizations per DB security group20Service Quotas (Resources)
Custom endpoints per DB cluster5Service Quotas (Resources)
Custom engine versions40Service Quotas (Resources)
DB cluster parameter groups50Service Quotas (Resources)
DB clusters40Service Quotas (Resources)
DB instances40Service Quotas (Resources)
DB shard groups5Service Quotas (Resources)
DB subnet groups50Service Quotas (Resources)
Data API HTTP request body size (MB)4Service Quotas (Resources)
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