Has Anyone Automated Cloud Migration Validation at Scale? Here’s What Worked for Us

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Dear Community/UiPath Experts/MVP’s,

We recently completed a set of orchestrator migrations from on-prem to Automation Cloud, and one recurring pain point kept coming up:

validation.

When you migrate:

  • Machines
  • Folders
  • Libraries
  • Packages
  • Queues
  • Assets
  • Users & roles
  • Triggers
  • Processes
  • Folder feeds
  • Orchestrator settings

The UiPath Cloud Migration Tool successfully moves the objects, but validating hundreds of processes and thousands of assets/queues/users becomes a full-time job for sysadmins.

The core challenge

The migration logs show success/failure, but they do not provide side-by-side comparisons.

You can’t easily verify:

  • What existed on-prem vs what exists in cloud
  • What objects are missing
  • Which folders are mismatched
  • Which roles or permissions didn’t replicate
  • Inconsistent triggers, queue settings, etc.

Orchestrator Manager helps with extract/export, but again — there’s no direct comparison view.

What we ended up building
We created an internal Cloud Migration Validation Tool using Orchestrator APIs.
It does the following:

  1. Connects to On-Prem Orchestrator and Cloud Orchestrator
  2. Extracts objects from every component (roles, users, queues, triggers, assets, packages, machines, folders etc.)
  3. Writes everything into a structured spreadsheet
  4. Generates a side-by-side comparison for every object type
  5. Flags mismatches automatically

Total runtime: under 1 minute for a full environment snapshot.

Why this helped
If this had to be done manually for dev → QA → staging → prod, it would take days per environment.
With this automated validator, sysadmins get:

  • 100% visibility
  • Consistency checks
  • Missing/mismatched object identification
  • Faster deployment readiness
  • Much lower risk of migration surprises
    Our UiPath TAM also confirmed that today there isn’t an out-of-the-box “comparison validator” in the platform.

One interesting observation
During our tests across environments, we actually found a few mismatches that the migration logs did not report.
The cloud migration logs showed everything as “successful,” but the validator flagged:

  • missing assets in a few folders
  • inconsistent queue configurations
  • a couple of triggers that didn’t carry over
  • differences in role assignments

Nothing major, but things that could easily break downstream processes if unnoticed.
This made the validator even more valuable because it caught edge-case inconsistencies that would be hard to detect manually.

So I’m curious:

Has anyone else built automation around migration validation?

  • Any tools or scripts you use?
  • Any limitations you’ve seen in UiPath’s export logs?
  • Would a generic version of this validator benefit the wider community?

Would love to hear how others handle this at scale

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Hello @ravindra.reddy33!

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@ravindra.reddy33

Thats a good way to go with..but not sure how much time it would have taken for you to build

What we have done is similar but we did not build from scratch…we used orchestrator manager and extended the functionality

We exported all the data we can and then use another process which takes the two excels as inputs and will write vlookups and formula needed to compare and give the results

this way what we built is only a small process which basically compares two excels

Kudos for your work

cheers

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Hi @Anil_G,

Thanks a lot for sharing your experience! We looked at extending Orchestrator Manager as well, and it’s definitely a practical route for many scenarios.

In our case, the volume and complexity across environments required deeper comparisons—especially around nested configurations like queue settings, triggers, permissions, and folder-level mappings. Because of that, we moved toward a fully API-driven validator that normalizes both sides and produces a consolidated comparison automatically. It took some upfront engineering, but the consistency and speed made it worthwhile for repeated migrations.

It’s interesting to see how different teams have solved the same challenge. Always good to exchange perspectives—appreciate your inputs.

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