
Jonah Feldman developed and enhanced OCSF-based log processing pipelines for the DataDog/integrations-core repository, focusing on Azure Active Directory, Nginx, and Apache integrations. Over four months, he standardized event and attribute mapping to the Open Cybersecurity Schema Framework, enabling improved security analytics and interoperability across cloud and on-premises sources. His work involved extensive YAML configuration, schema mapping, and backend development to deliver unified log structures, richer metadata, and consistent test outputs. By refining log categorization and integrating new log types, Jonah improved observability, accelerated anomaly detection, and increased CI reliability, demonstrating depth in cloud integration, data engineering, and log management.

January 2026 monthly summary for DataDog/integrations-core: Implemented OCSF Logging Pipeline Enhancements across Apache, Nginx, and Azure AD, delivering richer metadata, improved OS mapping, and aligned IAM outputs. These improvements enhance observability, auditability, and CI reliability, enabling faster incident response and stronger security posture.
January 2026 monthly summary for DataDog/integrations-core: Implemented OCSF Logging Pipeline Enhancements across Apache, Nginx, and Azure AD, delivering richer metadata, improved OS mapping, and aligned IAM outputs. These improvements enhance observability, auditability, and CI reliability, enabling faster incident response and stronger security posture.
December 2025 monthly summary for DataDog/integrations-core: delivered OCSF-based Nginx log processing pipeline with standardized Entra OCSF user attribute mappings. This feature improves log processing, categorization, and test output quality, aligning with OCSF standards. Standardization enables consistent data shapes for downstream analytics, reducing troubleshooting time and increasing observability. The work supports better cross-system interoperability and accelerates CI validation.
December 2025 monthly summary for DataDog/integrations-core: delivered OCSF-based Nginx log processing pipeline with standardized Entra OCSF user attribute mappings. This feature improves log processing, categorization, and test output quality, aligning with OCSF standards. Standardization enables consistent data shapes for downstream analytics, reducing troubleshooting time and increasing observability. The work supports better cross-system interoperability and accelerates CI validation.
Month 2025-10 monthly summary for DataDog/integrations-core focusing on Azure AD sign-in observability. Delivered a new category for MicrosoftServicePrincipalSignInLogs within the Azure Active Directory integration and refined log filtering to include this log type, enabling correct parsing, categorization, and analysis of sign-in events. This improves security observability, accelerates anomaly detection, and enhances downstream analytics.
Month 2025-10 monthly summary for DataDog/integrations-core focusing on Azure AD sign-in observability. Delivered a new category for MicrosoftServicePrincipalSignInLogs within the Azure Active Directory integration and refined log filtering to include this log type, enabling correct parsing, categorization, and analysis of sign-in events. This improves security observability, accelerates anomaly detection, and enhances downstream analytics.
Month: 2025-09 — Focused on delivering an Open Cybersecurity Schema Framework (OCSF) pipeline for Azure Active Directory (Entra ID) logs in DataDog/integrations-core. The work standardizes log ingestion and event mapping to the OCSF schema, enabling improved security analytics, threat detection, and interoperability across data sources. Included extensive configuration updates to define facets, pipelines, and processors for various Azure AD log types.
Month: 2025-09 — Focused on delivering an Open Cybersecurity Schema Framework (OCSF) pipeline for Azure Active Directory (Entra ID) logs in DataDog/integrations-core. The work standardizes log ingestion and event mapping to the OCSF schema, enabling improved security analytics, threat detection, and interoperability across data sources. Included extensive configuration updates to define facets, pipelines, and processors for various Azure AD log types.
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