A walkthrough showing how to use Kiro CLI combined with the CloudWatch MCP server to analyze Amazon RDS logs using natural language instead of complex CloudWatch Log Insights queries. The architecture routes natural language prompts through Amazon Bedrock (Claude) to the CloudWatch MCP server, which translates them into AWS API calls. The post covers setup steps, example prompts for different RDS log types (error, audit, slow query, general, Oracle alert/trace, IAM auth, etc.), operational best practices around validating AI recommendations before acting, and security guidance including IAM least-privilege and VPC deployment.
Table of contents
Understanding RDS log typesSolution overviewConfiguring MCP serversExample prompts using Kiro CLIBest practicesCleanupConclusionAbout the authors61 Impressions