Building agentic AI for Amazon RDS for SQL Server with Strands and AgentCore

This article demonstrates building an AI-powered database operations agent for Amazon RDS SQL Server using Strands Agents and Amazon Bedrock AgentCore Runtime to automate deadlock and blocking investigations.

• Agents use AI reasoning to decide which tools to call, execute them, and interpret results autonomously
• Tools wrap existing T-SQL diagnostic queries with @tool decorator and descriptive docstrings
• Five core tools: deadlock graph analysis, blocking chain detection, session details, historical blocked process reports, and SNS reporting
• Agent reads system_health extended events for deadlock graphs and DMVs for current blocking chains
• System prompt guides agent reasoning; tools define capabilities for multi-step database diagnostics
• Deploy to AgentCore Runtime with VPC integration, Secrets Manager credentials, and SNS notifications
• AgentCore Memory enables cross-session learning; observability via CloudWatch GenAI dashboard
• Agents correlate findings across data sources to deliver root cause analysis and actionable recommendations

This approach transforms existing DBA expertise into production-ready autonomous agents that continuously investigate database issues without manual intervention.