
Worked on enhancing the Datadog Terraform provider by implementing a storage_class option for AWS S3 log archives, allowing users to select storage classes such as STANDARD_IA and GLACIER_IR for improved cost optimization and retention management. This involved schema and API client updates, comprehensive test coverage, and clear user-facing documentation within the DataDog/terraform-provider-datadog and DataDog/documentation repositories. Leveraged Go, HCL, and Markdown to deliver a cohesive feature that streamlines S3 log archival lifecycle management. The work provided customers with clearer guidance and reduced ambiguity around storage class selection, supporting better infrastructure-as-code practices and cloud resource management.
March 2025 monthly wrap-up: Implemented storage_class option for AWS S3 log archives in the Datadog Terraform provider, and updated related documentation. This enables customers to select storage classes (e.g., STANDARD_IA, GLACIER_IR) for cost optimization and retention management, across Datadog/terraform-provider-datadog and Datadog/documentation. The work included code/schema changes, API client updates, tests, and user-facing docs—delivering a cohesive feature with clear guidance and improved UX for S3 log archival lifecycle management.
March 2025 monthly wrap-up: Implemented storage_class option for AWS S3 log archives in the Datadog Terraform provider, and updated related documentation. This enables customers to select storage classes (e.g., STANDARD_IA, GLACIER_IR) for cost optimization and retention management, across Datadog/terraform-provider-datadog and Datadog/documentation. The work included code/schema changes, API client updates, tests, and user-facing docs—delivering a cohesive feature with clear guidance and improved UX for S3 log archival lifecycle management.

Overview of all repositories you've contributed to across your timeline