26 articles
Item-level CI/CD in Microsoft Fabric is a settled capability. The unsolved problem is source of truth and tenant governance as code — the workspaces, capacity, domains, tenant settings, connections, and roles that Git integration does not manage. A blueprint for tenant-as-code.
Automated pipelines ensure reproducibility, enable A/B testing, and provide audit trails for model governance.
Implement approval gates before production deployment. Track model lineage, performance metrics, and data dependencies for full auditability.
Implementing CI/CD for Microsoft Fabric ensures reliable, repeatable deployments of analytics artifacts. This guide covers building end-to-end deployment…
Deployment Pipelines provide controlled, auditable content promotion across environments. Tomorrow, I will cover Fabric Monitoring.
Git integration in Fabric is something I've been waiting for since the first preview. Power BI's lack of proper version control has been a persistent…
The four key metrics gained mainstream adoption: Security integrated earlier in the pipeline: IaC practices became more sophisticated: Three pillars…
Feature Azure DevOps GitHub Actions YAML Config azure pipelines.yml .github/workflows/ .yml Hosted Runners Microsoft hosted GitHub hosted Self hosted Yes…
Azure Pipelines templates and stages enable maintainable, scalable CI/CD implementations.
Azure DevOps provides enterprise-grade DevOps capabilities with deep Azure integration.
Reusable workflows reduce duplication and improve maintainability across repositories.
Larger runners can dramatically reduce build times when used effectively with parallelizable workloads.
GitHub now offers larger hosted runners for more demanding workloads. Enforce workflows across all repositories in an organization.
Deployment Pipelines bring enterprise ALM to Power BI: Controlled content promotion Environment specific configurations Audit trail of deployments…
Azure DevOps in 2022 offers a mature, flexible platform for any DevOps workflow.
ML CI/CD in 2021 became essential for production systems. The tooling caught up with the need, and now there's no excuse for manual deployments.
Power BI Deployment Pipelines transform how organizations manage their analytics lifecycle. By bringing CI/CD practices to BI, teams can deliver insights…
MLOps transforms ML from an experimental practice to a reliable engineering discipline. Azure ML provides the tools to implement these practices at scale.
GitHub Actions workflows for Azure deployment have become my default for any project that lives on GitHub and targets Azure. The Azure/login action with…
Azure Pipelines supports four template types: 1. Stage templates Reusable stages 2. Job templates Reusable jobs 3. Step templates Reusable steps 4. Variable…
Configure in Azure DevOps UI or via YAML: Azure DevOps YAML pipelines provide powerful, version controlled CI/CD capabilities. By leveraging templates,…
GitHub Actions went from "interesting alternative to Azure DevOps Pipelines" to "my default CI/CD choice for most new Azure projects" in about twelve…
Templates transform pipeline chaos into maintainable, standardized CI/CD.
Azure DevOps Pipelines was the obvious answer for years. GitHub Actions in 2020 changed that calculus — for any project where the source already lives on…
The Azure DevOps Classic editor is comfortable, and I've watched many teams resist moving away from it for that exact reason. Until they need to branch a…
Classic CI/CD pipelines as a clickable thing in a UI: I keep migrating clients off them. Half the time the original person who built the pipeline has left…