DataDog/integrations-core
Sep 2025 – Jun 2026
8 Months active
Languages Used
yamlYAMLPython
Technical Skills
Cloud SecurityData EngineeringData TransformationLog ManagementSchema MappingSecurity Information and Event Management (SIEM)
jbfeldman-dd
PROFILE
Jbfeldman-dd
Over eight months, contributed to DataDog/integrations-core by building and enhancing OCSF-based log processing pipelines across services such as Azure Active Directory, Nginx, Apache, IIS, HAProxy, Tomcat, CoreDNS, and Zscaler Private Access. Focused on standardizing log ingestion, schema mapping, and attribute normalization to improve security analytics, observability, and CI reliability. Leveraged Python and YAML for configuration management, data transformation, and test-driven development, ensuring compatibility with OCSF standards. Delivered features like DNS activity normalization, port extraction, and cross-pipeline consistency, enabling unified log structures and streamlined troubleshooting. Emphasized robust testing, CI alignment, and interoperability to support scalable, maintainable integrations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
9
Lines of code
12,115
Activity Months8
Your Network
1236 peopleWork History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 performance summary for DataDog/integrations-core focusing on OCSF-based log normalization pipelines for DNS activity and Zscaler Private Access (ZPA) logs, CI/test improvements, and cross-repo impact.
2 Commits • 1 Features
Jun 1, 2026June 2026 performance summary for DataDog/integrations-core focusing on OCSF-based log normalization pipelines for DNS activity and Zscaler Private Access (ZPA) logs, CI/test improvements, and cross-repo impact.
June 2026
May 2026
2 Commits • 2 Features
May 1, 2026May 2026: Focused on delivering data quality and interoperability improvements in DataDog/integrations-core. Delivered OCSF-compliant DNS activity normalization for CoreDNS and port information extraction for Azure Active Directory logs, with robust testing fixtures and facet alignment to existing integrations. These changes improve downstream analytics, enable safer log processing, and reduce manual data wrangling across pipelines.
May 2026
2 Commits • 2 Features
May 1, 2026May 2026: Focused on delivering data quality and interoperability improvements in DataDog/integrations-core. Delivered OCSF-compliant DNS activity normalization for CoreDNS and port information extraction for Azure Active Directory logs, with robust testing fixtures and facet alignment to existing integrations. These changes improve downstream analytics, enable safer log processing, and reduce manual data wrangling across pipelines.
March 2026
2 Commits • 1 Features
Mar 1, 2026March 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.
2 Commits • 1 Features
Mar 1, 2026March 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
February 2026
1 Commits • 1 Features
Feb 1, 2026February 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
1 Commits • 1 Features
Feb 1, 2026February 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
3 Commits • 1 Features
Jan 1, 2026January 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.
3 Commits • 1 Features
Jan 1, 2026January 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
December 2025
2 Commits • 1 Features
Dec 1, 2025December 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
2 Commits • 1 Features
Dec 1, 2025December 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.
October 2025
1 Commits • 1 Features
Oct 1, 2025Month 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.
1 Commits • 1 Features
Oct 1, 2025Month 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.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 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.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 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.
Activity
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Quality Metrics
Correctness87.2%
Maintainability82.8%
Architecture84.2%
Performance81.4%
AI Usage44.4%
Skills & Technologies
Programming Languages
PythonYAMLyaml
Technical Skills
Cloud IntegrationCloud IntegrationsCloud SecurityConfiguration ManagementData EngineeringData NormalizationData Pipeline DevelopmentData TransformationDevOpsGrokLog ManagementLog ProcessingNginx configurationOCSFSchema Mapping
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