Your Team Adopted Maestro for Mobile Testing. Now What?

The framework was the easy decision. The infrastructure isn’t. 

Maestro made something hard much easier. One command to install. No dependencies, no driver setup, no SDK. Five minutes from first hearing about it to a running test. Tests written in YAML that read like a plain description of what a user does — not code that requires a specialist to interpret. 

That combination of speed and accessibility is why teams at Meta, DoorDash, and Stripe have adopted it.  

The question in the market has shifted from “should we try Maestro” to “how do we run it at enterprise scale.” 

Where the Scaling Challenge Appears 

Maestro solves the creation of tests. What it doesn’t solve is the infrastructure and visibility around them. 

Running YAML flows locally works well for an individual developer or a small team. The challenge surfaces when teams need coverage across mobile device configurations — different manufacturers, OS versions, screen sizes — without having to maintain hardware themselves. 

There’s also a visibility gap. When tests run locally, results stay where they ran. QA leads and release managers have no centralized place to see what passed and what failed. When something goes wrong, debugging means finding the person who ran the test and working backward through their environment. 

Maestro Execution on Digital.ai Testing 

Maestro test execution is now supported on Digital.ai Testing for Android real devices and emulators, available as both SaaS and On-Premises deployment options. 

Teams bring their existing YAML flows — unchanged — and run them against a pool of mobile devices. There’s no rewrite, no changes to how tests are structured. Execution is API-based, which means Maestro runs fit into existing CI/CD pipeline. 

When tests complete, results are automatically stored in the Digital.ai Testing reporter. Teams reviewing test output after a build see everything in one place. 

A Note on iOS 

Android real devices and emulators are supported in this release. iOS real devices and simulators are targeted for later this year — closing a gap that most mobile testing platforms, and Maestro’s own open-source framework, haven’t solved. 

Closing thoughts 

New frameworks shouldn’t mean starting over. Teams that adopted Maestro made that choice for good reasons. Digital.ai Testing is built to meet teams where they are, not ask them to compromise on the tools they’ve already committed to. Whatever framework your team runs, the enterprise layer should follow.

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