
Jon Van Briesen developed and maintained AWS infrastructure automation for Datadog, focusing on the DataDog/cloudformation-template and DataDog/documentation repositories. He delivered CloudFormation templates and release scripts to automate deployment of LLM Observability features, integrating IAM permissions and SecurityAudit policies for secure, repeatable workflows. Using Python, Shell scripting, and YAML, Jon enhanced resource collection, introduced explicit versioning, and improved deployment reliability through TaskCat-based validation. He also updated documentation to clarify installation and migration, and stabilized IAM permissions by rolling back over-permissive changes. His work demonstrated depth in AWS automation, balancing new feature delivery with careful attention to security and maintainability.

March 2025 monthly summary focused on stabilizing template permissions in the DataDog/documentation repository by rolling back an AWS permissions expansion. The rollback preserved a known-good state, reduced risk of over-permissive access, and avoided user-facing disruptions while maintaining alignment with existing IAM policy boundaries across docs templates.
March 2025 monthly summary focused on stabilizing template permissions in the DataDog/documentation repository by rolling back an AWS permissions expansion. The rollback preserved a known-good state, reduced risk of over-permissive access, and avoided user-facing disruptions while maintaining alignment with existing IAM policy boundaries across docs templates.
February 2025: Delivered end-to-end AWS LLM Observability deployment capability for the DataDog/cloudformation-template repo. Implemented CloudFormation templates and a release script to automate deployment of LLM Observability features in AWS, including IAM permissions for invoking LLM models and attaching a SecurityAudit policy to the Datadog integration role. This enables repeatable, secure deployments and scalable observability across AWS environments.
February 2025: Delivered end-to-end AWS LLM Observability deployment capability for the DataDog/cloudformation-template repo. Implemented CloudFormation templates and a release script to automate deployment of LLM Observability features in AWS, including IAM permissions for invoking LLM models and attaching a SecurityAudit policy to the Datadog integration role. This enables repeatable, secure deployments and scalable observability across AWS environments.
December 2024: Documentation-focused delivery for the Datadog AWS integration in the DataDog/cloudformation-template repository. Updated the README to reflect changes in CloudFormation stack deployment, versioning, installation steps, parameter handling, and migration guidance from older versions. Commit referenced: 32fc8df9df1ca6546b7663bf5f41cc780d868076.
December 2024: Documentation-focused delivery for the Datadog AWS integration in the DataDog/cloudformation-template repository. Updated the README to reflect changes in CloudFormation stack deployment, versioning, installation steps, parameter handling, and migration guidance from older versions. Commit referenced: 32fc8df9df1ca6546b7663bf5f41cc780d868076.
November 2024: Delivered targeted enhancements to Datadog's CloudFormation templates and related docs, improving data visibility, security posture, and release reliability. Key work included: (1) Datadog AWS integration: Extended resource collection and permissions, adding DisableResourceCollection, v2 compatibility, broader IAM/S3 permissions, and updated API configuration; (2) AWS Organizations template versioning and deployment versioning: explicit versioning, version.txt integration, and updates to release process so version is embedded in S3 paths and final output URLs; (3) Documentation and Terraform: SecurityAudit policy adoption for AWS Datadog integration to enable enhanced resource collection and compliance; (4) Bug fixes: resolved issues around extended resource collection, ensuring default behavior and org template compatibility; (5) Testing and deployment improvements: integrated TaskCat-based validation to improve test coverage and deployment reliability.
November 2024: Delivered targeted enhancements to Datadog's CloudFormation templates and related docs, improving data visibility, security posture, and release reliability. Key work included: (1) Datadog AWS integration: Extended resource collection and permissions, adding DisableResourceCollection, v2 compatibility, broader IAM/S3 permissions, and updated API configuration; (2) AWS Organizations template versioning and deployment versioning: explicit versioning, version.txt integration, and updates to release process so version is embedded in S3 paths and final output URLs; (3) Documentation and Terraform: SecurityAudit policy adoption for AWS Datadog integration to enable enhanced resource collection and compliance; (4) Bug fixes: resolved issues around extended resource collection, ensuring default behavior and org template compatibility; (5) Testing and deployment improvements: integrated TaskCat-based validation to improve test coverage and deployment reliability.
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