What problem does it solve?
Automates evaluation and governance of Aurora PostgreSQL deployments, guiding users through express vs full configuration choices, ACU sizing, I/O-Optimized storage decisions, and commitment-pricing planning for both serverless and provisioned clusters.
Core Features & Use Cases
- Deployment-path decisioning: Route between Aurora Express (serverless, IAM-auth) and Full Configuration based on user constraints (VPC requirements, KMS, custom parameter groups, or MySQL engine requests).
- ACU sizing & capacity planning: Help size ACU for serverless and provisioned clusters, including memory floors and peak requirements.
- I/O-Optimized vs Standard storage decisions: Apply the 25% breakeven guideline, cost comparisons, and switch rules with 30-day cooldown awareness.
- Pricing & commitments: Analyze RI vs DSP scenarios for Aurora compute (provisioned) and Aurora serverless, including DSP eligibility by family and hybrid strategies.
- Upgrade & migration guidance: Outline migration paths between express and full configurations, including data-movement options and prechecks.
Quick Start
Describe your Aurora environment and I will guide you through express vs full configuration decisions, ACU sizing, I/O optimization, and pricing options.