
During May 2025, Svan Kumar developed a Google Cloud Platform Cloud Run data connector for Microsoft Sentinel in the Azure/Azure-Sentinel repository, enabling seamless ingestion of GCP Cloud Run logs into Sentinel for enhanced cross-cloud observability. Svan used Terraform to provision GCP Pub/Sub topics and subscriptions, and authored ARM templates to automate data connector configuration. Security was strengthened by converting sensitive parameters in JSON templates from string to securestring, reducing risk during deployment. The work demonstrated strong proficiency in Infrastructure as Code, DevOps, and SIEM integration, delivering a robust, scalable solution for onboarding new data sources with improved security posture.

May 2025 monthly summary for Azure/Azure-Sentinel: Delivered a Google Cloud Platform Cloud Run data connector for Microsoft Sentinel, enabling ingestion of GCP Cloud Run logs. Implemented IaC for GCP resources (Terraform for Pub/Sub topics/subscriptions) and ARM templates for configuring the data connector. Implemented security hardening by switching sensitive parameters in JSON templates from string to securestring. No major bugs identified or fixed in this period; focus remained on delivery and security hardening. These efforts extend cross-cloud observability and reduce security risk while accelerating onboarding of new data sources.
May 2025 monthly summary for Azure/Azure-Sentinel: Delivered a Google Cloud Platform Cloud Run data connector for Microsoft Sentinel, enabling ingestion of GCP Cloud Run logs. Implemented IaC for GCP resources (Terraform for Pub/Sub topics/subscriptions) and ARM templates for configuring the data connector. Implemented security hardening by switching sensitive parameters in JSON templates from string to securestring. No major bugs identified or fixed in this period; focus remained on delivery and security hardening. These efforts extend cross-cloud observability and reduce security risk while accelerating onboarding of new data sources.
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