Azure DevOps to Jira Migration: How Veryon Completed a Complex Migration Success Story with Getint

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Migrating from Azure DevOps to Jira is rarely just about moving work items between platforms.

For most organizations, the real challenge starts once teams realize how much operational history has accumulated over the years inside Azure DevOps. Backlog structures, feature hierarchies, comments, attachments, workflows, custom fields, and relationships between work items all become deeply connected to how teams actually deliver work.

And the larger the environment, the harder it becomes to migrate without disrupting active projects along the way.

A while ago we worked with Veryon, an aviation maintenance and operations software company, on a complex Azure DevOps to Jira Cloud migration project that highlighted many of the challenges engineering organizations face during platform transitions.

Migration Snapshot	Details
Company	Veryon
Industry	Aviation maintenance and operations software
Migration Direction	Azure DevOps → Jira Cloud
Data Migrated	Tasks, backlog stories, features, comments, attachments, statuses, custom fields
Key Stakeholder	Jim Cai, Director of Engineering
Notable Result	Complex MVP configured in under one hour

One of the first migration challenges Veryon encountered was that Azure DevOps structures did not map perfectly into Jira by default.

Tasks, backlog stories, and features all needed to be translated into Jira work item types while preserving relationships and hierarchy between items. That sounds manageable until organizations start dealing with years of accumulated project history, custom workflows, and delivery dependencies spread across multiple teams.

The migration required preserving not only issue data itself, but also the operational context attached to it:

• comments,
• attachments,
• statuses,
• custom fields,
• and relationships between work items.

Without that context, teams risk losing visibility into the delivery history they still rely on daily after the migration is complete.

The “MVP in Under an Hour” Moment

What made the project particularly interesting was how quickly Veryon was able to validate the migration setup.

As Jim Cai, Director of Engineering at Veryon, explained:

“Getint was straightforward and intuitive. We got the MVP running in less than an hour, and everything else was easily handled by our team.”

That simplicity became an important part of the migration itself.

Many Azure DevOps to Jira migration projects become difficult not because the data cannot be moved, but because the migration process itself introduces operational overhead. Teams often end up relying on scripting-heavy configurations, external synchronization hubs, or migration logic that becomes difficult to maintain once workflows evolve.

Veryon wanted a migration approach that engineering teams could understand and manage without introducing unnecessary complexity around the transition process.

What Actually Mattered During the Migration

Migration Requirement	Why It Mattered
Fast MVP setup	The team needed to validate mappings and workflows quickly
Preserving issue hierarchy	Relationships between features, stories, and tasks needed to remain intact
Maintaining historical context	Comments, attachments, and statuses remained important after migration
Admin-friendly configuration	The migration process needed to stay manageable without excessive scripting
Low operational overhead	Teams wanted to avoid introducing additional maintenance complexity

One thing many organizations underestimate during Azure DevOps to Jira migrations is how much delivery knowledge exists inside work item relationships and historical discussions.

Migrating titles and descriptions alone is usually not enough.

Teams still need:

• escalation history,
• troubleshooting discussions,
• sprint visibility,
• delivery context,
• and work item relationships that explain how projects evolved over time.

Without preserving that information properly, migrations can technically succeed while still disrupting how teams work afterward.

That is why the most successful migrations usually focus less on simply “moving records” and more on preserving operational continuity for the teams that will continue working inside Jira once the transition is complete.

Azure DevOps to Jira Migration Is Usually More Operational Than Technical

Veryon’s migration highlighted something many engineering organizations eventually discover during large platform transitions: the migration itself is only part of the project.

The real objective is ensuring teams can continue delivering work confidently without losing the context they depend on every day.

Because in practice, the most difficult part of Azure DevOps to Jira migration is rarely the export itself. It is preserving how teams collaborate once the new environment becomes their operational reality.

Have your teams gone through an Azure DevOps to Jira migration? What turned out to be more difficult than expected? Happy to hear your thoughts on this.