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To minimize downtime when moving Jira Server or Data Center to Jira Cloud, complete readiness work before the cutover, rehearse a representative migration, pre-migrate users and groups and attachments where appropriate, and reserve the production window for project data, final checks, and handoff. Estimate the window from your test—not from issue count or a headline throughput figure.
Start with readiness, not a cutover date
The Jira Cloud Migration Assistant (JCMA) runs pre-migration checks, but Atlassian says those checks do not cover everything. Use the separate Jira migration checklist as well, and treat unresolved readiness items as schedule risks rather than issues to improvise around during cutover.
First define the scope. JCMA can migrate all data or selected categories, so document the projects and data you intend to move: users and groups, attachments, workflows, custom fields, Jira Service Management data, Advanced Roadmaps plans, boards and filters, Assets, and Marketplace apps. For each app, confirm its Cloud availability, migration route, JCMA support, preparation needs, timing, licensing, and post-migration checks with its vendor; Jira data migration should not be assumed to carry every app’s data.
Confirm access before beginning: Atlassian’s instructions require a system administrator on the source and an organization administrator for the destination Cloud site. Then verify the following readiness items from the checklist:
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- The source Jira version is supported; user email addresses are valid and unique, and directory synchronization and user migration strategy are understood.
- Permissions and group names are reviewed for conflicts; public-access settings are deliberate. Atlassian notes that public entities become logged-in-users-only during migration, a behavior surfaced in checks.
- Required Atlassian network destinations are allowlisted, network bandwidth is adequate, and security controls will not materially slow uploads.
- Storage and Cloud data limits are sufficient, source integrity and external integrations have been reviewed, and the destination’s existing data is understood.
- Source data and any existing destination Cloud data are backed up, and app-specific migration plans are confirmed with vendors.
Destination content matters because JCMA adds migrated data rather than overwriting or deleting data on either side. Identical configuration items may be linked to avoid duplication, but inspect the Cloud site before migration and resolve conflicts intentionally. Jira entity IDs also change in Cloud; identify integrations that rely on IDs and plan to retrieve mappings through Atlassian’s provided API.
Rehearse the migration you intend to run
A useful rehearsal resembles production in scope, sequencing, app handling, and destination conditions. Run a test migration early enough to fix problems rather than merely prove that the assistant launches. Record durations by stage, pre-migration errors, app outcomes, reconciliation issues, and the steps users and admins must validate.
Run pre-migration checks several days before cutover, review the report, and remediate errors. Atlassian says successful check results may be cached for 30 days; that cache does not make later changes irrelevant. If data or configuration changes after the checks, assess whether the test assumptions still hold and rerun checks when needed. Use the same JCMA version in production as in the test migration.
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Do not treat a successful test as a universal duration promise. The closer its data profile and operational conditions are to production, the more useful its timing will be. Include attachment volume, project shape, app steps, network quality, checks, and validation in the estimate.
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Pre-migrate users and groups
Where your plan supports it, pre-migrate users and groups so identity preparation is not competing with final project-data work. Confirm that accounts and group membership behave as expected in Cloud before the main migration.
Migrate attachments in advance
Atlassian identifies attachment transfer as one of the typically longest parts of migration. Transfer attachments before project data: Atlassian warns that migrating project data first can leave attachment links unresolved. In a later project migration, JCMA recognizes attachments that were already migrated and skips those, while transferring changes.
Choose project scope and order deliberately
Agree project priority with business owners. Atlassian suggests considering last-updated activity and separating archived or inactive projects from active work. Moving inactive projects at another time can keep the active cutover focused. For a large instance with many projects and attachments, splitting the scope can create smaller downtime windows, but each additional plan brings coordination and validation work. Rehearse the sequence and check project dependencies before choosing.
Atlassian says projects in a plan run in parallel, recommends grouping projects with similar issue counts, and advises against running multiple plans simultaneously. Avoid concurrent migrations; validate current guidance against the size and constraints of your instance.
Prepare the cutover window and operators
- Shortly before migration: run a network health test and confirm allowlisting. Check that egress scanning or other security controls are not materially slowing uploads.
- Protect capacity: avoid scheduling patches, automated backups, Jira indexing, or other avoidable heavy work during the migration window. Atlassian also advises stopping unnecessary scheduled jobs during the migration journey when background processes cause cumulative performance degradation.
- Use the rehearsed sequence: pre-migrate users and groups, then attachments, followed by the agreed project-data work. Track stage durations and exceptions against the rehearsal.
- Manage the user route: prepare the Cloud URL, login instructions, app and interface changes, and a support channel for questions. A site banner can direct people who still visit the self-hosted Jira instance to Cloud.
For larger environments, review Atlassian’s sizing guidance against your deployed Jira version and architecture. Its current page says the hardware recommendation applies to instances over 500 users and generally recommends at least 16 CPUs per Data Center node; confirm applicability to your environment rather than treating the figure as a universal migration prerequisite.
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Estimate duration without turning throughput into a promise
Atlassian Support’s JCMA performance guidance lists average throughput of 5,000,000 issues per 24 hours and observed throughput as high as 21 million issues per 24 hours. Atlassian describes the average as an estimate that may vary by environment; these numbers are not a service guarantee or a reliable way to calculate your outage from issue count alone. The page does not state a publication year in the retrieved content.
Atlassian lists network quality, pre-flight errors, issue and project counts, attachment size, workflows and custom fields, and whether all or selected users are migrated among factors that affect speed. Base the production estimate on the representative test and include the end-to-end work required to restore service confidently, not just data transfer.
Validate before declaring the move complete
After migration, work through a named validation checklist with the project owners and admins. Check project data and permissions, users and groups, app behavior, integrations, boards, filters, and automations. Confirm users can reach the Cloud site and have the right login and support route. For systems that depend on Jira entity IDs, verify the Cloud mappings and update downstream references.
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