June 2025 monthly summary focusing on business value and technical achievements. The key delivery this month was a cost-optimization change in the Datadog Agentless Scanner workflow implemented via CloudFormation. Updated the default EC2 instance type from t4g.large to t4g.medium in the CloudFormation template to reduce AWS costs for customers using the Agentless Scanner. This change is aligned with our cost-reduction initiative while preserving performance and functionality for typical deployments. No critical bugs were reported this month; the work focused on optimization, reliability, and maintainability.

Month 2025-05: Focused on tightening security for Agentless scanning and improving how permissions are documented. Implemented least-privilege changes in the CloudFormation template and updated documentation to reflect the reduced permission surface, aligning with best practices for AWS IAM and reducing blast radius.

January 2025 monthly summary for DataDog/documentation: Expanded Agentless Scanning support to Azure by delivering Azure onboarding documentation and provider support. Authored comprehensive onboarding content detailing Azure Resource Manager and Terraform setups, required permissions, and resource exclusions, aligning with existing AWS onboarding. This work is linked to the commit that added Azure onboarding to Agentless documentation.

Concise monthly summary for 2024-11 focusing on the DataDog/documentation repository. Delivered targeted Agentless Scanning Documentation Updates and ensured accurate resource filtering guidance, with explicit upgrade instructions for Agentless CloudFormation and Terraform versions. Improved user onboarding, reduced configuration errors, and strengthened maintenance posture for agentless deployments.