About This Architecture

Azure DevOps scheduled monitoring pipeline orchestrates automated data collection from multiple clients at 2 AM UTC, aggregating results through Pipeline Artifacts into a centralized ETL workflow. Data Factory transforms and loads collected metrics into Azure SQL, feeding both Power BI dashboards and Application Insights for real-time observability. Azure AD authentication and Key Vault secrets management secure the entire pipeline across three resource groups, enabling multi-tenant monitoring at scale. Fork this diagram on Diagrams.so to customize client endpoints, ETL logic, or reporting schedules for your organization's compliance and performance tracking needs. This architecture demonstrates DevOps best practices for scheduled data pipelines with centralized secrets management and role-based access control.

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How do I build a scheduled monitoring pipeline in Azure DevOps that collects data from multiple clients and reports via Power BI?

This diagram shows a 2 AM UTC scheduled Azure DevOps pipeline that collects data from multiple clients into Pipeline Artifacts, transforms it via Data Factory ETL, stores results in Azure SQL, and visualizes metrics through Power BI dashboards and Application Insights. Azure AD and Key Vault provide secure authentication and secrets management across the workflow.