
Jeff Blanchard developed a managed virtual network and private endpoints infrastructure for Azure AI Foundry, contributing to the foundry-samples repository. Using Terraform and Azure, he integrated AI Search, Cosmos DB, and Key Vault resources within a secure, private network, automating environment provisioning and reducing manual setup. His approach included implementing lifecycle management and explicit outputs to enhance resource tracking and governance, as well as updating deployment examples and credential handling to streamline processes and improve security. This work focused on infrastructure as code principles, resulting in more auditable, maintainable, and secure deployments for AI Foundry environments within the repository.
January 2026 monthly summary: Delivered a managed VNet and private endpoints infrastructure for Azure AI Foundry in the foundry-samples repo, wiring AI Search, Cosmos DB, and Key Vault with Terraform. Implemented lifecycle management and explicit outputs to improve resource tracking and governance. Updated examples and credentials handling to streamline deployments and ensure security. This work reduces manual setup, accelerates secure environment provisioning, and improves auditability for AI Foundry deployments.
January 2026 monthly summary: Delivered a managed VNet and private endpoints infrastructure for Azure AI Foundry in the foundry-samples repo, wiring AI Search, Cosmos DB, and Key Vault with Terraform. Implemented lifecycle management and explicit outputs to improve resource tracking and governance. Updated examples and credentials handling to streamline deployments and ensure security. This work reduces manual setup, accelerates secure environment provisioning, and improves auditability for AI Foundry deployments.

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