February 2026 monthly summary for hashicorp/terraform-provider-azurerm focusing on delivering new data capabilities and reinforcing Terraform Azure integration. Key feature delivered this month is the Azure Cognitive Account Projects data source, enabling users to retrieve information about existing Cognitive Services projects within their Azure Cognitive Accounts. No major bugs fixed in this scope this month. Overall impact includes improved data discoverability, automation, and consistency for Azure Cognitive resources within the Terraform provider.

December 2025 monthly summary for hashicorp/terraform-provider-azurerm focusing on Azure Cognitive Account lifecycle and data resource enhancements. Implemented (1) upgrade/downgrade path between OpenAI and AIServices with kind property management to prevent unnecessary resource recreation and enable smooth transitions, and (2) data resource enhancements for azurerm_cognitive_account including custom Q&A, customer-managed keys (CMK), and network ACLs. These changes reduce manual migration effort, minimize downtime during transitions, and strengthen security/governance. Commits: 096ae770c3083bd1ea9d2bccbede420d26ccdb59; 8a79b48bcb7bda66757786b9c288f59593b75baf. Cross-team collaboration including Anuj Parashar.

October 2025 monthly summary for hashicorp/terraform-provider-azurerm: Delivered AIServices support for azurerm_cognitive_account, expanding Azure Cognitive Services capabilities in the provider. Added new configurable options (project_management_enabled, network_injection) and validation to ensure correct usage with AIServices. No major bugs fixed this month; feature-focused delivery with high traceability.

September 2025 monthly summary for Azure-Samples/modern-data-warehouse-dataops: Delivered a robust Fabric API Deployment Credential Strategy to navigate REST API limitations, updating docs, IaC (Terraform) configurations, and deployment scripts to accommodate both service principals and user credentials. This reduces deployment friction and improves reliability of the data ops pipeline across environments.

August 2025 monthly summary focusing on delivering a high-impact feature: upgrading the Azure Cognitive Services API to 2025-06-01 in the Terraform provider for Azure RM (hashicorp/terraform-provider-azurerm). The upgrade updated the API version from 2024-10-01 to 2025-06-01 across service modules, updating import paths and version constants to adopt the latest stable features and improvements. This work enables customers to access new Cognitive Services capabilities with improved stability and performance.

July 2025: Delivered a targeted enhancement to the Terraform provider for Azure (hashicorp/terraform-provider-azurerm) by upgrading the Databricks workspace data source to expose detailed network and storage configurations via a new custom_parameters attribute. Implemented schema changes, added a dedicated flattening function, and expanded tests to validate the new fields, increasing data fidelity and automation reliability for Databricks deployments. The work aligns with customer needs for richer observability and governance in IaC, enabling more accurate planning, auditing, and drift detection.

February 2025 monthly summary for Azure-Samples/modern-data-warehouse-dataops: Delivered a significant data modeling enhancement to increase time-series granularity in Fabric E2E Sample by expanding time intervals in dim_time.csv. This work enables more granular analytics, improved reporting, and better capacity planning. No major bugs fixed this month, with focus on feature delivery and code stability.

December 2024: Delivered the initial Fabric DataOps End-to-End sample deployment using Terraform IaC for Azure and Fabric resources. Established CI/CD, code quality gates, and comprehensive deployment/architecture documentation in Azure-Samples/modern-data-warehouse-dataops to enable reproducible, scalable DataOps provisioning and baseline Fabric integration.

November 2024: Key features and operational improvements delivered for Azure-Samples/modern-data-warehouse-dataops, including archival/deprecation of obsolete samples, Fabric lakehouse utilities with CI/CD automation, and enhancements to documentation with visual assets. Implemented targeted quality fixes (linting, references, spellings, storage URLs) to reduce maintenance overhead and improve onboarding. The changes strengthen maintainability, enable safer deprecation, and improve reliability of dataops workflows.