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To minimize downtime in a Jira Cloud migration, move readiness work, users and groups, and eligible attachments out of the production cutover; rehearse the intended scope with the Jira Cloud Migration Assistant (JCMA); then migrate project data in a controlled order and validate Cloud before redirecting users. A test migration—not issue count alone—is the best basis for estimating the interruption. Atlassian says its throughput figures vary by environment, and JCMA’s pre-migration checks are not a complete readiness audit.
What a low-downtime migration plan needs to accomplish
A migration plan reduces avoidable work during the production window; it cannot promise a fixed outage duration. The duration depends on the source instance, project and attachment profile, network quality, apps, checks, and validation. Use Atlassian’s Jira Cloud Migration Assistant guidance as the process baseline, then adapt it to your deployment and rehearse the same scope and sequence you intend to use in production.
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Plan explicitly for what is moving: projects, users and groups, attachments, workflows, custom fields, Jira Service Management data, Advanced Roadmaps plans, boards and filters, Assets, and Marketplace apps. JCMA can migrate all data or selected categories, so record what is included—and what requires a separate app-vendor process—before scheduling the cutover. Atlassian’s list of data JCMA can migrate describes the available scope.
Prepare the source and destination before choosing a cutover date
Confirm access, compatibility, and destination state
- Ensure a system administrator can access the source Jira instance and an organization administrator can access the destination Cloud site, as required by Atlassian’s migration planning instructions.
- Confirm the source Jira version is supported. Validate user email addresses and directory synchronization, review permissions and public access, resolve group-name conflicts, check firewall allowlisting, and assess storage and Cloud limits.
- Inspect the destination site before migrating. Atlassian says migrated data is added rather than used to overwrite or delete source or destination data; identical configuration items may be linked to avoid duplication. Existing destination content therefore needs review to prevent surprises.
- Identify integrations or downstream systems that depend on Jira entity IDs. Atlassian notes that IDs change in Cloud and documents an API for retrieving mappings in its migration expectations and post-migration guidance.
Check every app and integration
Do not assume that migrating Jira project data also migrates every Marketplace app’s configuration or data. Ask each app vendor whether a Cloud version is available, whether it supports JCMA, what preparation it requires, how long its migration takes, what licensing applies, and how to validate it afterward. Atlassian’s app assessment guidance points administrators to vendors for app-specific migration paths. Inventory external integrations as well, including any that rely on IDs, permissions, or URLs that will change.
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Run the full readiness review
JCMA runs pre-migration checks, but Atlassian warns that the assistant does not check everything. Work through the separate mandatory Jira migration checklist as well. It covers, among other things, users, permissions, groups, network rules, apps, public access, limits, source preparation, integrations, backups, test migration, and bandwidth. Public entities are changed to logged-in-users-only during migration; decide deliberately whether any Cloud project should later be public.
Back up the source and any Cloud destination data that already exists. Review source integrity and scheduled work. Atlassian recommends stopping unnecessary scheduled jobs when background processes could cumulatively degrade performance during the migration journey.
Rehearse the actual migration and turn it into a duration estimate
Make the test representative
Run a test migration with a scope and sequence close to production, including the projects, data categories, attachment handling, and app steps that matter. Track duration by stage, unresolved checks, app outcomes, reconciliation problems, and the checks users will need to perform. A rehearsal that omits the largest projects, attachments, or an important vendor migration is not a reliable estimate for the final event.
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Run pre-migration checks several days before cutover so there is time to resolve errors and review the migration report. Atlassian says successful check results may be cached for 30 days. That cache does not make later changes irrelevant: reassess changes to data or configuration that affect the test assumptions, and rerun checks when appropriate. For production, use the same JCMA version used for the test migration.
Use throughput figures as context, not a countdown
Atlassian’s current migration-speed guidance gives an estimated average throughput of 5,000,000 issues per 24 hours and reports observed throughput as high as 21 million issues per 24 hours. The page does not display a publication year in the retrieved content, and Atlassian says results vary by environment: “That’s an estimation of average throughput and may vary depending on your environment.” These figures are not a service guarantee or a way to calculate your outage from issue count alone. The page also identifies network quality, pre-flight errors, number of issues and projects, attachment size, workflows, custom fields, and user scope as factors that affect speed. Use your rehearsal’s measured stages and your environment’s actual profile for scheduling.
Move eligible work ahead of the production project migration
Pre-migrate users and groups
Where your plan permits, pre-migrate users and groups before the main project-data event. This takes suitable preparation out of the final window and gives administrators time to spot identity or group issues before active project users depend on Cloud.
Migrate attachments in advance
Atlassian says attachment transfer is often one of the longest migration stages and advises migrating attachments before project data so attachment links resolve correctly. In a later project migration, JCMA recognizes attachments already migrated and skips those already transferred while sending changes. This makes advance attachment migration useful preparation, not a reason to omit the final project migration or assume that no attachment work remains.
Choose project scope, grouping, and order deliberately
Prioritize projects by last updated and coordinate the sequence with business owners. Move archived or inactive projects separately when that keeps the active cutover focused. If there are many projects and attachments, splitting the scope into smaller migrations can create smaller downtime windows, but it also adds coordination and validation work.
Atlassian says projects within a migration plan run in parallel, recommends grouping projects with similar issue counts, and advises against running multiple plans simultaneously. Do not treat splitting as an automatic speed-up: weigh each window’s size against project dependencies, app readiness, user impact, and the overhead of checking more than one destination state. Rehearse the planned grouping. Atlassian’s project migration guidance covers project selection and sequencing.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Protect the migration window from avoidable slowdowns
- Shortly before production, test network health and verify required Atlassian destinations are allowlisted. Check that egress scanning or other security controls are not materially slowing uploads.
- Avoid concurrent migrations. Do not schedule patches, automated backups, indexing work, or other avoidable heavy background activity during the window.
- For larger instances, check current Atlassian sizing guidance against the deployed version and architecture. Its current hardware-sizing note applies to instances over 500 users and generally recommends at least 16 CPUs per Data Center node; the retrieved page does not show a publication year, so verify that recommendation for your environment rather than applying it blindly.
- Agree in advance who can pause or reschedule the migration if the network, source performance, checks, or app steps do not match rehearsal conditions.
Run cutover, validation, and user handoff as one plan
- Before the window: Confirm the production scope, project order, app-vendor steps, administrator availability, backup status, network health, and the exact JCMA version used in rehearsal. Pause unnecessary scheduled jobs and avoid conflicting maintenance.
- At the start: Follow the rehearsed sequence, including pre-migrated users and groups and attachments. Keep active-project work ordered as agreed with business owners; do not add untested scope simply because the migration is underway.
- After data migration: Validate projects and data, permissions, users, app behavior, integrations, boards, filters, and automations. Check ID-dependent downstream systems and confirm that users can reach the expected Cloud destination.
- Hand off to users: Give users the Cloud URL and login guidance, explain relevant app and interface differences, and provide a support channel for questions and feedback. A banner on the self-hosted instance can redirect people who continue to visit it.
Atlassian’s post-migration guidance provides additional validation considerations. Keep the source available according to your organization’s rollback and retention procedures rather than treating a successful data transfer alone as proof that the service handoff is complete.
When to stage the migration—and when not to
| Approach | Potential benefit | Trade-off to manage |
|---|---|---|
| One larger project migration | Fewer separate coordination and validation cycles; suitable when project dependencies and app steps are tightly coupled. | A larger shared window may affect more active users, and more work lands in one event. |
| Multiple staged project migrations | Can produce smaller downtime windows and move inactive or archived projects away from the active cutover. | Requires more scheduling, dependency planning, and validation; careless staging can create inconsistent or duplicate destination configuration. |
Choose based on dependencies, pre-migratable data, vendor readiness, operational capacity, and the tested duration—not on a universal rule that one plan or many plans is always better.
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