
Jonah Feldman developed and standardized Open Cybersecurity Schema Framework (OCSF) log processing pipelines across multiple integrations in the DataDog/integrations-core repository over six months. He engineered data pipelines for Azure Active Directory, Nginx, Apache, IIS, HAProxy, and Tomcat, focusing on schema mapping, attribute normalization, and configuration management using YAML. His work unified log ingestion and event mapping, improved metadata enrichment, and enhanced test reliability, enabling consistent analytics and streamlined troubleshooting. By aligning log structures and test outputs with OCSF standards, Jonah improved observability, security analysis, and CI/CD reliability, demonstrating depth in cloud integration, data engineering, and log management practices.
March 2026 monthly wrap-up for DataDog/integrations-core: Implemented a standardized OCSF pipeline for HAProxy and Apache Tomcat to unify log processing and improve CI reporting. Aligned test logs with OCSF output, updated configurations to meet the new schema, and enhanced log categorization through activity filters and metadata mappings. These changes improve observability, reduce CI/test flakiness, and lay groundwork for broader OCSF adoption across services.
March 2026 monthly wrap-up for DataDog/integrations-core: Implemented a standardized OCSF pipeline for HAProxy and Apache Tomcat to unify log processing and improve CI reporting. Aligned test logs with OCSF output, updated configurations to meet the new schema, and enhanced log categorization through activity filters and metadata mappings. These changes improve observability, reduce CI/test flakiness, and lay groundwork for broader OCSF adoption across services.
February 2026: Delivered IIS OCSF pipeline OS name mapping and target configuration hardening in DataDog/integrations-core, improving endpoint identification, data handling, and log clarity. Implemented via commit e7192397dacd4deabd6a19580f82af821b036c01 (#22584). Result: more reliable data pipelines, faster troubleshooting, and stronger observability for IIS integrations.
February 2026: Delivered IIS OCSF pipeline OS name mapping and target configuration hardening in DataDog/integrations-core, improving endpoint identification, data handling, and log clarity. Implemented via commit e7192397dacd4deabd6a19580f82af821b036c01 (#22584). Result: more reliable data pipelines, faster troubleshooting, and stronger observability for IIS integrations.
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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