What problem does it solve? CloudWatch log data is difficult to analyze at scale with ad-hoc search tools, and correlating logs with other datasets requires manual exports. This Skill enables SQL-based analysis of CloudWatch logs exported as Apache Iceberg tables in S3 Tables, queryable through Amazon Athena. ## Core Features & Use Cases - SQL on 24+ AWS log sources: Query VPC Flow Logs, WAF logs, CloudFront access logs, Route 53 resolver logs, EKS audit logs, and more via Athena against the aws-cloudwatch table bucket. - Integration setup and verification: Check whether the S3 Tables integration exists, create it with KMS encryption, and associate specific or wildcard data sources. - Cross-dataset correlation: Join log tables with S3 metadata or business tables across catalogs for security investigations and traffic analysis. - Use Case: A security engineer investigating rejected network traffic runs SQL on the amazon_vpc__flow namespace to find the top rejected connections by bytes, then correlates source IPs with S3 object creation events. ## Quick Start Ask the assistant to check whether the CloudWatch S3 Tables integration is configured in your region and then run a SQL query against your VPC Flow Logs table.