Most organizations approach Power Platform development backwards—building dozens of disconnected apps and flows without a structured containment strategy. The consequences are predictable: deployment nightmares, missed dependencies, and hours spent troubleshooting configuration issues that shouldn’t exist in the first place. After a particularly painful weekend moving components manually between environments, our team completely transformed our approach with a foundational shift: Solutions-first development.

The True Cost of Unstructured Development

Let’s be direct: if you’re building anything in Power Platform without solutions, you’re creating technical debt with every component. This isn’t theoretical—I’ve seen the real impact across multiple organizations:

  • A critical approval flow failed during a product launch because a custom connector dependency wasn’t migrated correctly
  • SharePoint connections constantly broke during environment moves because connection references weren’t properly managed
  • An entire weekend was spent manually recreating flows in production, only to discover on Monday that several key components were missed

Solutions aren’t just a nice-to-have feature of Power Platform—they’re the fundamental architecture that enables sustainable, manageable development.

What Solutions Actually Solve

At their core, solutions are containers that organize, manage, and transport Power Platform components across environments. But their practical impact goes much deeper:

1. Deployment Reliability

Without solutions, moving components between environments means recreating each one manually or using the basic “Export as package” function for individual flows and apps. This approach is fundamentally flawed—it doesn’t handle dependencies, connection references, or environment-specific settings correctly.

Solutions provide a structured packaging mechanism that:

  • Preserves all relationships between components
  • Maintains dependencies automatically
  • Manages connection references across environments
  • Provides version control for all changes

After implementing solution-based deployments at the City of Austin, we reduced deployment time from 8+ hours of manual work to a 30-minute process with dramatically fewer errors.

2. Architectural Organization

Solutions force better architectural thinking by requiring you to consider how components relate to each other. Instead of a flat list of disconnected assets, you develop a structured application architecture.

For our procurement approval system, we implemented a multi-solution architecture:

  • Core Components Solution: Contains shared data models, connection references, and environment variables
  • Request Management Solution: Canvas app and flows for submission and tracking
  • Approval Processing Solution: Flows for routing and approval logic
  • Reporting Solution: Power BI dashboards and analytics flows

This separation created clear boundaries between components, improved team collaboration, and simplified maintenance.

3. Change Management & Versioning

The ability to track versions and changes is critical for any production system. Solutions provide built-in versioning capabilities that:

  • Document what changed between releases
  • Enable rollback to previous versions if needed
  • Create clear deployment paths between environments
  • Establish proper release management practices

When an issue inevitably arises, knowing exactly which version is running in each environment eliminates the “it works in dev but not production” mystery.

Solution Types: Understanding the Fundamentals

Power Platform offers two main solution types, and knowing when to use each is critical:

Unmanaged Solutions

  • Purpose: Active development and customization
  • Behavior: Components can be individually edited
  • Best for: Development environments
  • Limitations: Not recommended for production use due to potential layering issues

Managed Solutions

  • Purpose: Controlled, production-ready deployments
  • Behavior: Components are locked and can only be modified by updating the solution
  • Best for: Test and production environments
  • Advantages: Better performance, clean uninstallation, proper upgrades

The standard workflow uses unmanaged solutions during development, then exports as managed for deployment to test and production. This pattern maintains flexibility during development while ensuring stability in higher environments.

Implementing a Solution Strategy: Practical Steps

After implementing solution-based ALM across multiple organizations, I’ve developed a practical approach that balances structure with flexibility:

1. Start With a Clear Segmentation Strategy

Begin by mapping your components to a logical solution structure:

YourApp
├── Core
│   ├── Connection References
│   ├── Environment Variables
│   └── Shared Data Tables
├── ModuleA
│   ├── Canvas App
│   └── Supporting Flows
└── ModuleB
    ├── Model-Driven App
    └── Supporting Flows

This structure should reflect your business processes, not just technical divisions. For example, our equipment inspection system separated field data collection from administrative approvals, with shared components in a core solution.

2. Implement Proper Connection Reference Management

Connection references are one of the most powerful features of solutions, but they require proper setup:

# Example PowerShell for extracting connection references
$connectionInfo = Get-AdminPowerAppConnection -EnvironmentName $envName
$connectionInfo | Format-Table DisplayName, ConnectorName, ConnectionId

When properly configured, connection references enable you to:

  • Use the same flow across environments without manual connection updates
  • Centrally manage service connections for all your apps
  • Switch between development, test, and production accounts seamlessly

For best practices on managing connection references, see my detailed post on connection references and environment variables.

3. Automate Your Solution Lifecycle

Manual solution management works for small projects but breaks down as complexity increases. I’ve implemented automated deployment pipelines that:

  • Export solutions from source environments
  • Increment version numbers automatically
  • Create both managed and unmanaged packages
  • Deploy to target environments with proper configuration

Tools like the PP-ALM suite can dramatically simplify this process while ensuring consistency.

4. Implement a Testing Chain

Solutions enable proper environment progression. A typical flow includes:

  1. Development: Unmanaged solutions for active work
  2. Test/QA: Managed solution import to validate before production
  3. Production: Managed solution with proper connection references

Each environment should have appropriate data and connection references to enable proper testing.

5. Document Your Solution Architecture

Maintain clear documentation of your solution structure:

  • Solution dependencies and components
  • Environment-specific configurations
  • Deployment prerequisites
  • Version history and change logs

This documentation becomes invaluable as your solution complexity grows and team members change.

Common Pitfalls and How to Avoid Them

Even with solutions, there are common mistakes that can create problems:

1. Solution Layering Confusion

When multiple solutions modify the same components, “solution layering” determines which changes take precedence. This can lead to unexpected behaviors.

Prevention Strategy: Maintain clear ownership of components, ideally with each component belonging to exactly one unmanaged solution. Use documentation to track where components are defined and modified. For more on component management, see our guide on SharePoint list delegation in Power Apps.

2. Connection Reference Misconfiguration

Connection references that aren’t properly configured can still break during deployment. This is especially important when dealing with Power Automate trigger conditions and error handling.

Prevention Strategy: Use a consistent naming convention for connection references and document the required permissions for each. Test connection switchovers explicitly before relying on them in production deployments.

On-the-Fly Modifications in Production

When urgent changes are needed, it’s tempting to modify components directly in production instead of going through the solution deployment process. This is particularly risky when dealing with Power Apps offline capabilities and deep linking.

Prevention Strategy: Create an emergency change procedure that still uses solutions but streamlines approval steps. Even urgent changes should follow the solution path to maintain consistency.

Solutions as a Foundation for Automation

In my work implementing CI/CD pipelines for Power Platform, solutions proved to be the essential foundation for automation. They enabled:

  • Script-Driven Deployments: PowerShell automation for consistent deployments
  • Version Control Integration: Storing solution components in Git for change tracking
  • Environment Creation Automation: Scripts to provision and configure new environments
  • Automated Testing: Running tests against solution components before deployment

Without solutions, none of these automation capabilities would be possible at scale.

Getting Started With Solutions

If you’re not using solutions yet, here’s a practical path forward:

1. Create a Default Solution

Start with a single solution for your existing components:

  1. Go to the Power Apps maker portal
  2. Navigate to Solutions
  3. Create a new solution with a name, publisher, and version
  4. Add your existing components to this solution

This initial step creates a foundation you can build on.

2. Export and Test Import

Practice the export/import process in a safe environment:

  1. Export your solution as unmanaged
  2. Import it into a test environment
  3. Verify all components work as expected
  4. Identify and fix any issues

This test will reveal any immediate problems with your solution structure.

3. Plan Your Long-Term Architecture

Based on your initial experience, plan your more sophisticated solution architecture:

  1. Identify logical component groupings
  2. Plan core vs. feature-specific solutions
  3. Document environment variables and connection references
  4. Design version numbering and build processes

Don’t try to build the perfect solution structure immediately. Start with something workable and refine it over time.

Measuring Success

After implementing proper solution management across multiple organizations, I’ve consistently seen:

  • Deployment time reduced by 75-90%
  • Deployment errors nearly eliminated
  • Developer onboarding time cut in half
  • Much clearer system documentation
  • Reduced support tickets for configuration issues

These improvements directly translate to business value: faster delivery, higher reliability, and lower maintenance costs.

Conclusion

Solutions aren’t just a technical best practice—they’re a fundamental shift in how you approach Power Platform development. They create the structure needed for sustainable, scalable application management while dramatically reducing the effort required for deployments and maintenance.

If you’re building anything in Power Platform that will eventually need to move between environments, start using solutions now—even if your current project is small. The habits and structures you establish early will save you from painful retrofitting later.

The difference between organizations that struggle with Power Platform governance and those that succeed often comes down to this single practice: solution-based development. It’s not just better technically—it fundamentally changes how effectively you can deliver and maintain business value through the platform.

What questions do you have about implementing solutions in your Power Platform projects? Have you experienced challenges with solution management that I haven’t addressed here?