A walkthrough for building an AI-powered database agent using Amazon Aurora DSQL and Amazon Bedrock AgentCore for utility grid investigation. The architecture uses two agents communicating via the Agent-to-Agent (A2A) protocol: a thin App Agent that relays natural language questions, and a Database Agent that generates parameterized SQL, queries six relational tables, and produces root-cause analyses. Key components include AgentCore Runtime for hosting, AgentCore Gateway exposing tools via MCP, a Lambda function for SQL execution with read-only enforcement, and the Strands Agents SDK for agent logic. Security is layered with IAM token authentication, parameterized queries, SQL validation, and least-privilege database roles.
Table of contents
The use case: Grid investigation for utility operationsWhat is Amazon Aurora DSQL?What is Amazon Bedrock AgentCore?Architecture overviewPrerequisitesStep 1: Set up your Aurora DSQL clusterStep 2: Create the Lambda function and provision AgentCore GatewayStep 3: Build the Database AgentStep 4: Deploy the Database Agent to AgentCore RuntimeStep 5: Build and run the App AgentStep 6: Test the agentSecurity considerationsCost considerationsClean upConclusionAbout the authors10 Impressions