
During June 2025, Anderson Laplie developed and refined the CI/CD workflow for the DataDog/dd-trace-rb repository, focusing on reliable Docker image publishing to GitHub Container Registry. Anderson implemented a dedicated GitHub Actions job that uses crane for image copying and tagging, integrating AWS SSM Parameter Store to securely manage GHCR tokens. By replacing crane tag with crane copy, Anderson resolved issues with tag-to-SHA mapping and version consistency in both GitLab CI and GHCR. The work, primarily using Shell and YAML, standardized pre-publish verifications and image references, resulting in more consistent builds and deployments while addressing two critical bugs in the process.

June 2025 monthly summary for DataDog/dd-trace-rb focusing on CI/CD GHCR publishing workflow and tagging reliability. Key deliverables include a dedicated GitHub Actions CI job to publish Docker images to GHCR, using crane for image copy/tagging, AWS SSM Parameter Store for GHCR tokens, and consistent verifications using the dd-lib-ruby-init image. Fixed tag handling issues in GitLab CI and GHCR tagging by replacing crane tag with crane copy to ensure tags map to correct SHAs and versions. These changes improve deployment reliability, artifact consistency, and security token management.
June 2025 monthly summary for DataDog/dd-trace-rb focusing on CI/CD GHCR publishing workflow and tagging reliability. Key deliverables include a dedicated GitHub Actions CI job to publish Docker images to GHCR, using crane for image copy/tagging, AWS SSM Parameter Store for GHCR tokens, and consistent verifications using the dd-lib-ruby-init image. Fixed tag handling issues in GitLab CI and GHCR tagging by replacing crane tag with crane copy to ensure tags map to correct SHAs and versions. These changes improve deployment reliability, artifact consistency, and security token management.
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