Azure/Azure-Sentinel
Mar 2025 – Jun 2025
4 Months active
Languages Used
HCLMarkdownTerraformkqlyamlBinaryJSONKQL
Technical Skills
Cloud InfrastructureCloud LoggingCloud SecurityDevOpsDocumentationGCP
Srihithagampa11
PROFILE
Srihithagampa11
Srihitha worked on the Azure/Azure-Sentinel repository, delivering cross-cloud security monitoring by integrating Google Cloud services such as Cloud IDS, Apigee, and Compute Engine with Microsoft Sentinel. She engineered Terraform-based deployment patterns and data connectors, enabling automated log ingestion, schema enhancements, and scalable configuration management. Her work included parser development in KQL and YAML, migration of function app connectors, and packaging automation for reliable releases. By updating ingestion pipelines, refining data models, and maintaining binary packages, Srihitha improved data quality, detection coverage, and deployment reliability, demonstrating depth in cloud infrastructure, SIEM integration, and DevOps practices across Azure and GCP environments.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
33Total
Bugs
2
Commits
33
Features
10
Lines of code
9,924
Activity Months4
Your Network
4355 people
Work History
June 2025
13 Commits • 6 Features
Jun 1, 2025June 2025 Azure/Azure-Sentinel monthly performance summary: Expanded cross-cloud observability with multiple 3.0.x releases, delivering new data connectors for Google Cloud services, enhancements to ingestion pipelines, and packaging readiness. No major customer-facing bugs fixed this month; instead, the focus was on stability, data quality, and release readiness through internal code/docs improvements. Overall impact includes broader security telemetry coverage for GCP workloads, faster time-to-detection through richer log schemas, and improved deployability via streamlined packaging for the 3.0.0/3.0.3 releases.
13 Commits • 6 Features
Jun 1, 2025June 2025 Azure/Azure-Sentinel monthly performance summary: Expanded cross-cloud observability with multiple 3.0.x releases, delivering new data connectors for Google Cloud services, enhancements to ingestion pipelines, and packaging readiness. No major customer-facing bugs fixed this month; instead, the focus was on stability, data quality, and release readiness through internal code/docs improvements. Overall impact includes broader security telemetry coverage for GCP workloads, faster time-to-detection through richer log schemas, and improved deployability via streamlined packaging for the 3.0.0/3.0.3 releases.
June 2025
May 2025
11 Commits • 1 Features
May 1, 2025In May 2025, Azure/Azure-Sentinel delivered critical improvements in data ingestion, reliability, and maintainability, driving enhanced security monitoring capabilities and tangible business value. The team focused on Google Apigee/ApigeeX data integration, delivering end-to-end connectors and data model updates, while also stabilizing the SlackAudit component through binary/package maintenance.
May 2025
11 Commits • 1 Features
May 1, 2025In May 2025, Azure/Azure-Sentinel delivered critical improvements in data ingestion, reliability, and maintainability, driving enhanced security monitoring capabilities and tangible business value. The team focused on Google Apigee/ApigeeX data integration, delivering end-to-end connectors and data model updates, while also stabilizing the SlackAudit component through binary/package maintenance.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary (Azure/Azure-Sentinel): Delivered two major features for SlackAudit with concrete business value and prepared release readiness for the 3.0.1 deployment. Key progress includes SlackAudit Parser v2 enhancements (SlackAuditV2_CL) with refactored views and migration of the Function App connector, and SlackAudit 3.0.1 release packaging updates to include the new build/version and ready the ZIP distribution for deployment. No major bugs fixed this month based on the provided data. Technologies demonstrated include parser development, data extraction enhancements, function app migration, and release/packaging automation for reliable deployments.
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary (Azure/Azure-Sentinel): Delivered two major features for SlackAudit with concrete business value and prepared release readiness for the 3.0.1 deployment. Key progress includes SlackAudit Parser v2 enhancements (SlackAuditV2_CL) with refactored views and migration of the Function App connector, and SlackAudit 3.0.1 release packaging updates to include the new build/version and ready the ZIP distribution for deployment. No major bugs fixed this month based on the provided data. Technologies demonstrated include parser development, data extraction enhancements, function app migration, and release/packaging automation for reliable deployments.
April 2025
March 2025
6 Commits • 1 Features
Mar 1, 2025March 2025 – Azure-Sentinel (Azure/Azure-Sentinel) delivered cross-cloud visibility by integrating GCP Cloud IDS with Microsoft Sentinel using Terraform-backed deployment. Key deliverables included setting up GCP-to-Sentinel log ingestion via Pub/Sub topics and logging sinks, implementing IAM bindings, updating the IDS package to 3.0.0, and refreshing related documentation. A critical bug fix corrected log filtering syntax for GCP Cloud IDS in Sentinel at both project-level and organization sinks to ensure reliable ingestion and accurate parsing. The work spanned six commits across feature and bug-fix tasks, strengthening end-to-end data flow and monitoring quality. Overall impact: extended security monitoring to GCP, streamlined deployment, improved data quality and detection coverage, and reduced manual operational effort.
March 2025
6 Commits • 1 Features
Mar 1, 2025March 2025 – Azure-Sentinel (Azure/Azure-Sentinel) delivered cross-cloud visibility by integrating GCP Cloud IDS with Microsoft Sentinel using Terraform-backed deployment. Key deliverables included setting up GCP-to-Sentinel log ingestion via Pub/Sub topics and logging sinks, implementing IAM bindings, updating the IDS package to 3.0.0, and refreshing related documentation. A critical bug fix corrected log filtering syntax for GCP Cloud IDS in Sentinel at both project-level and organization sinks to ensure reliable ingestion and accurate parsing. The work spanned six commits across feature and bug-fix tasks, strengthening end-to-end data flow and monitoring quality. Overall impact: extended security monitoring to GCP, streamlined deployment, improved data quality and detection coverage, and reduced manual operational effort.
Activity
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Quality Metrics
Correctness72.8%
Maintainability72.8%
Architecture71.0%
Performance66.0%
AI Usage23.6%
Skills & Technologies
Programming Languages
ARM TemplateBinaryC#HCLJSONKQLMarkdownPowerShellTerraformYAML
Technical Skills
Azure SentinelCloud ComputingCloud InfrastructureCloud LoggingCloud SecurityConfiguration ManagementData Connector ConfigurationData EngineeringData IngestionData IntegrationData ParsingData Schema ManagementDevOpsDocumentationDocumentation Update
Repositories Contributed To
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