About This Architecture

SQL Governance Middleware on AWS Multi-AZ implements a comprehensive query control plane spanning two availability zones with WAF, ALB, and API Gateway ingress protecting a governance engine that extracts query plans, estimates costs, and enforces policies before execution. Data flows through Query Submission Interface, Query Plan Extraction, Cost Estimation Engine, and Governance Engine, with execution monitoring and learning modules feeding metrics into RDS Aurora and DynamoDB policy stores. The architecture uses Step Functions for orchestration, SNS for alerts, SQS for async queuing, and integrates Snowflake, S3 query logs, Secrets Manager, and CloudTrail for comprehensive audit and compliance. This multi-AZ design ensures high availability and disaster recovery for mission-critical SQL governance, solving the challenge of preventing runaway queries, enforcing cost controls, and maintaining audit trails across distributed data platforms. Fork this diagram on Diagrams.so to customize subnets, add additional data sources, or adjust instance types for your governance requirements.

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How do you build a scalable SQL governance system on AWS that prevents runaway queries and enforces cost controls across multiple availability zones?

This diagram shows a multi-AZ SQL governance middleware using AWS WAF, ALB, and API Gateway for ingress protection, with a governance engine that extracts query plans, estimates costs, and enforces policies before execution. RDS Aurora stores metrics, DynamoDB holds policies, Step Functions orchestrates workflows, and CloudTrail plus S3 provide audit trails for compliance.