rds-aurora

Specialist guidance for Amazon RDS and Aurora. Covers engine selection, instance sizing, high availability, read scaling, security, migration, and operational best practices.

Process

1. Identify the workload characteristics: read/write ratio, latency requirements, data volume, connection count
2. Use the awsknowledge MCP tools (mcp__plugin_aws-dev-toolkit_awsknowledge__aws___search_documentation, mcp__plugin_aws-dev-toolkit_awsknowledge__aws___read_documentation, mcp__plugin_aws-dev-toolkit_awsknowledge__aws___recommend) to verify current RDS/Aurora limits, engine versions, and features
3. Select the appropriate engine and deployment model (RDS single-instance, RDS Multi-AZ, Aurora provisioned, Aurora Serverless v2)
4. Design the high availability and read scaling topology
5. Configure security (encryption, IAM auth, network isolation)
6. Recommend operational best practices (backups, monitoring, maintenance)

Engine Selection Decision Matrix