Power Platform ALM & Azure DevOps Consulting
Automate Power Apps and Automate deployments. Implement enterprise ALM Accelerator pipelines, version control, and multi-environment release governance.
Core Service Capabilities
Designed and delivered by experienced Australian Microsoft solution architects.
Azure DevOps CI/CD Pipelines
Automate solution exports, unpacking, source code git commits, and automated deployments from Dev to Test and Production.
Azure DevOps • GitHubEnvironment Strategy & Variables
Configure environment variables, connection references, and automated deployment settings across multi-tenant setups.
Environment StrategyALM Accelerator Setup
Deploy Microsoft's ALM Accelerator for Power Platform to empower citizen and pro-developers with one-click release management.
ALM Accelerator • GovernanceEnterprise CI/CD Pipelines & Solution Source Control
Developing Power Apps and Power Automate flows directly in production or manually importing zip files creates version drift, breaking dependencies, and untracked changes. We build fully automated Azure DevOps and GitHub Actions pipelines that bring professional software engineering rigor to low-code ecosystems.
Git Unpacking & Branching Strategy
Our automated export pipelines extract unmanaged solutions from developer sandboxes, unpack solution zip files into individual XML, JSON, and PowerFX files using the Power Platform CLI, and commit them to Git. Every change undergoes peer code review through standard Pull Requests.
- Source Code Granularity: Line-by-line diff tracking for Canvas Apps, Cloud Flows, and Dataverse tables.
- Trunk-Based & Feature Branching: Strict branch policies preventing unreviewed code reaching upstream environments.
- Managed Solution Build: Production artifacts generated strictly from committed source code in transient build environments.
Strict Solution Layering & Segmentation
Circular dependencies and monolithic solutions inevitably cause deployment blockages. We architect modular solution hierarchies separating shared foundation tables, integration components, and user interfaces into manageable release units.
- Core Data Layer: Base Dataverse entities, global option sets, and relationship schemas.
- Business Logic Layer: Power Automate cloud flows, custom plugins, and business process flows.
- Experience Layer: Model-driven apps, Canvas apps, and custom PCF visual controls.
Four-Tier Multi-Environment Governance
Enterprise compliance mandates strict separation between development, testing, and production data. We configure isolated Power Platform environments with dedicated security groups and zero direct developer access to production.
Developer Sandboxes
Dedicated maker environments with synthetic test data where unmanaged customizations occur safely without impacting other teams.
Build & Validation
Automated transient environment used exclusively by CI/CD pipelines to validate clean managed solution imports and run Solution Checker scans.
User Acceptance (UAT)
Managed solution deployment where business stakeholders test end-to-end workflows with production-like sanitized reference data.
Production
Fully locked-down environment accepting strictly managed solutions via automated approval gates. Direct edits are disabled.
Environment Variables, Connection References & Key Vault
Hardcoding API endpoints, email recipients, or credentials inside flows and apps creates deployment failures and severe security vulnerabilities. We implement automated parameterization across every pipeline release.
Environment Variables
Store configuration parameters (SharePoint site URLs, Teams channel IDs, environment toggles) that update dynamically per target environment during automated deployment.
Dynamic Config JSONAzure Key Vault Secrets
Integrate Power Platform directly with Azure Key Vault secrets. Client secrets and third-party API keys are retrieved securely at runtime without exposure in source code.
Zero Plaintext SecretsService Principal Automation
Pipelines deploy using dedicated Entra ID Service Principals rather than individual user credentials, eliminating outages caused by employee departures or password changes.
Non-Interactive PipelinesStructured ALM Implementation Framework
We transition your Power Platform operations from ad-hoc manual imports to fully automated enterprise ALM through a proven 4-stage engineering delivery engagement:
ALM Maturity Assessment & Solution Audit
Review existing environments, identify unmanaged customizations in production, analyze solution component dependencies, and design the branching model.
Pipeline Infrastructure & Service Principals
Provision Azure DevOps / GitHub repositories, configure Entra ID Service Principals, create environment variables, and establish build validation pipelines.
Solution Checker CLI Gates & Quality Rules
Implement automated Solution Checker analysis gates blocking deployments with severe performance, security, or delegation errors.
Maker Training, Runbooks & Handover
Provide comprehensive documentation, train citizen and pro-developers on Git pull request flows, and deliver rollback and hotfix runbooks.
Technical Prerequisites & Licensing
Before establishing automated ALM pipelines, organizations should confirm access and licensing requirements:
Acceptance Deliverables Checklist
- Production-ready Azure DevOps / GitHub YAML pipeline repository
- Solution Checker automated quality gates enforcing clean builds
- Deployment settings JSON templates and environment variable mappings
- Emergency hotfix procedure and managed rollback runbook
Related Power Platform Practices
Ready to discuss your project?
Speak directly with an Australian technical consultant. No offshore sales queue.