January 2026 Monthly Summary for DataDog/datadog-agent focusing on CI reliability and secret management improvements for MacOS runners. What changed: Implemented CI Identities for MacOS runners to strengthen secret management via GitLab ID tokens and added missing id_tokens configuration to the MacOS test setup. These changes improve secure access, reduce token leakage risk, and stabilize MacOS CI workflows.

October 2025 monthly summary for DataDog/datadog-api-client-python: Implemented a secure PyPI release workflow using GitHub Actions OIDC to publish Python packages without exposing PyPI tokens, enabling Trusted Publishers and improving the security and reliability of releases. This work centers on the commit 5ee57eb9d43f76eb53fc4f360a21a3342cfb422a ([SINT-4258] Use PyPI OIDC when releasing (#2925)).

September 2025 monthly summary focused on improving accuracy and clarity in the Logs to Metrics workflow by updating the documentation to specify that the index must be excluded from log-filtered queries for metric generation, reducing potential data reporting gaps when an index is included. Implemented in DataDog/documentation with a single commit updating logs_to_metrics.md to (#31583).