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💡 Admins, it’s time to level up our game on Power Platform
Every app or solution we deploy to production today is still a black box. Even a seasoned admin, often don’t have insight into what’s actually running under the hood, what connectors, what flows, what hidden logic might cause performance issues or indicate poor development. Are admins just expected to click “deploy”, without being empowered to understand or critique the quality of what’s moving to production?
Once it hits production, admins often have no visibility into how this app/solution will coexist with other inhabitants or what impact it might have on the environment.
This isn’t just a process challenge, it’s a gap in Power Platform itself. The platform doesn’t yet empower admins to evaluate quality, risk, or efficiency before and after deployment. Admins should be able to inspect, understand, and critique solutions, not just move them around.
How do we give admins real superpowers to evaluate, guide, and improve the quality of apps in production, without slowing down innovation?
I’d love to hear how fellow admins and MVPs are tackling this challenge.
#PowerPlatform #MVPCommunity #Governance #CitizenDev #AdminSuperpowers
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Thanks, and happy building!
This resonates with a lot of admins. The platform actually has more governance capability than most people realize — it's just scattered across different tools. Here's how I'd approach building those "admin superpowers" you're describing:
For pre-deployment visibility:
Managed Environments — This is your foundation. It lets you enforce Solution Checker validation before anything reaches production, control who can share apps, and set maker welcome policies. 🔗 https://learn.microsoft.com/en-us/power-platform/admin/managed-environment-overview
Power Platform Pipelines — Set up proper dev → test → prod promotion with approval gates at each stage. This is where admins get the "inspect before deploying" ability. No more directly importing solutions into production without review. 🔗 https://learn.microsoft.com/en-us/power-platform/alm/pipelines
Solution Checker as a mandatory step — Catches deprecated APIs, accessibility gaps, formula-level problems, and performance antipatterns. Not a full code review, but a solid baseline quality bar that can be enforced automatically through Managed Environments. 🔗 https://learn.microsoft.com/en-us/power-apps/maker/data-platform/use-powerapps-checker
For post-deployment visibility:
For coexistence and impact:
DLP Policies — Layer these across environments to prevent risky connector combinations from ever being possible in production. 🔗 https://learn.microsoft.com/en-us/power-platform/admin/wp-data-loss-prevention
Environment strategy — Dedicated dev/test/prod with clear promotion rules. Makers experiment freely in dev, production stays controlled. This structure is what makes everything else actually work. 🔗 https://learn.microsoft.com/en-us/power-platform/admin/environments-overview
Where the gap still exists honestly: Even with all of this, there's no native "impact analysis" that tells you "this solution will conflict with an existing flow on the same table" or "this app makes 500 undelegable calls and will degrade under load." A built-in quality/complexity score and per-solution performance telemetry would be game changers. Hopefully Microsoft is heading in that direction.
But with Managed Environments + Pipelines + Solution Checker + DLP layered together, admins can get pretty close to the governance model you're describing today. It just requires deliberate setup.
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To be fully transparent: I used AI as a collaborative editor to help structure my thoughts and ensure the formatting was clean and readable. However, the technical substance specifically how these tools layer together to solve the 'black box' problem is based entirely on my firsthand experience managing Power Platform environments.
As noted in the original post, I have included direct Microsoft Learn links for every tool mentioned (Managed Environments, Pipelines, Solution Checker, etc.). These are the exact resources I’ve used in the field to implement these patterns. I believe AI is a great tool for communication, but the 'boots on the ground' experience behind this post is 100% human!
Thanks for the catch and for keeping the community standards high!
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