Migrate to Atlassian Cloud stress-free, surprise-free and without losing a single piece of data. From the initial inventory to post-cutover validation, Nimbax drives every step so your migration is a non-event for your teams.
Jira Server's end of life and the announcement of Data Center's upcoming end of life have turned migration from an optional project into a necessity. But migrating isn't just a technical transfer: it's a chance to start from a clean slate — or the risk of carrying years of clutter over to a new platform.
Our method removes the unknowns. We start with an exhaustive inventory — users, projects, apps, integrations — then an honest assessment of every integrations and Marketplace app, because that's where most migrations go off the rails. User identity and permissions are mapped before any transfer.
We never migrate straight to production. One or more test migrations measure the real duration, validate data integrity and train your teams. The final cutover happens in a planned window, with a rollback plan always ready.
You come out with a clean, fast, documented instance — and the certainty that nothing was lost along the way. No matter your starting point, we tailor the Cloud migration strategy to your reality and your compliance obligations.
Case Studies
Challenge
A financial institution ran three aging Jira and Confluence instances, with strict security requirements and zero tolerance for service interruption.
Our approach
A multi-phase migration with repeated test runs, data-integrity validation and close coordination with the security and infrastructure teams.
Results
Zero downtime for users, three instances consolidated and SSL-certified, and a timeline met to the phase.
Challenge
A government organization had to migrate to Cloud while demonstrating compliance with its data-sovereignty obligations.
Our approach
Up-front compliance assessment, data-residency validation, SSO-based user migration and permission reconfiguration.
Results
Migration delivered ahead of schedule, 100% compliant with regulatory requirements, with no post-cutover rework.
Challenge
A healthcare network was running an aging Data Center instance holding sensitive data, with downtime windows that were nearly impossible to schedule in a 24/7 operational setting.
Our approach
Up-front data audit, batched migration scheduled during low-traffic periods, and joint validation with the clinical and IT teams at every step.
Results
The cutover went through with no noticeable disruption for users, and critical data was preserved intact through the migration.
Challenge
A fast-growing tech company had ended up with several disparate Atlassian instances inherited from acquisitions, fragmenting projects and complicating administration.
Our approach
Mapped the existing configurations, progressively merged everything into a single Cloud instance, and harmonized project schemes and permissions.
Results
Centralized administration and restored visibility across all projects, on a foundation now aligned for the teams.
FAQ