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What the Cloud Migration Assistants do—and do not do
Atlassian describes the Jira Cloud Migration Assistant as a tool for moving Jira from Server or Data Center to Cloud. It supports preparation such as app and user review, email-domain checks, data migration, pre-migration checks, reports, and error logs. The Confluence Cloud Migration Assistant similarly supports app assessment, domain review, data or user migration, and checks. These assistants are part of a larger migration journey, not a replacement for planning the work that happens around them.
The assistants run checks, but those checks do not cover every prerequisite. Atlassian directs administrators to complete the relevant product-specific checklist as well. If you are moving both Jira and Confluence, use both checklists: some requirements differ by product.
Installing or updating the Jira assistant does not require downtime or a Jira restart, according to Atlassian. That is a statement about the assistant installation—not a promise about the operational impact or downtime of the migration itself. Network allowlisting may also be necessary for the assistant to connect to Atlassian.
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Plan the migration in seven stages
1. Inventory the source and agree on the destination
Record whether Jira, Confluence, or both are in scope, along with source product versions, installed Marketplace apps, identity sources, public access, integrations, and the intended Cloud configuration. Establish who owns each system and decision. Check Atlassian’s current product-specific guidance for supported versions, limits, and prerequisites; these details can vary by product and change over time.
2. Treat identity as a workstream
Decide which users and groups should move. Where directory users are involved, check that they are active and synchronized as required. Review invalid or duplicate email addresses and group conflicts, and coordinate email identities across Jira and Confluence when the same people use both products.
Identity problems can interfere with account mapping and may result in duplicate users. Resolve them before a migration plan depends on a clean match between source accounts and Cloud accounts.
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3. Clear product-specific readiness blockers
Confirm that the migration operator has the required source and destination permissions, then check the source environment, destination limits, and network path. Review firewall and proxy rules, and determine whether public-access settings on the destination are appropriate for the migration.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallDo not assume a generic checklist covers both products. Jira’s checklist includes Data Center setup, character and asset entity limits, and integrations. Confluence has distinct considerations, including heap and timezone requirements. Apply the current checklist for each product in scope.
4. Make an app-by-app decision
For every Marketplace app, decide whether it is still needed, whether a Cloud-native feature or another alternative will meet the need, and how any app data will move. A Cloud edition may not exist, the assistant may not support its migration path, or the vendor may require a separate procedure.
Atlassian says the assistant does not assess app-data security. Confirm security, legal, and regulatory requirements with the app partner, and establish the vendor’s migration process, prerequisites, timing, and support responsibilities before scheduling dependent work.
5. Define scope, order, and destination starting state
Jira and Confluence migrations can cover all data at once or be divided into multiple plans. Assess dependencies before choosing the scope and order. Consider whether to pre-migrate users, groups, or attachments: Atlassian says doing so can reduce downtime, but it also adds planning and coordination across migration waves.
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For Jira, migration adds data to Cloud; it does not delete or overwrite data in either the source or destination. Repeated runs may link identical configuration items to avoid duplicates. Decide what the Cloud site should contain before the first run, and account for that starting state and repeat-run behavior in the plan.
6. Rehearse, record issues, and retest
Atlassian strongly recommends trying a Confluence migration to a test or staging site before the final migration, and its Jira checklist recommends a test migration. Use the rehearsal to discover problems while there is time to assign an owner, make a fix, and retest. Keep a record of issues and outcomes rather than relying on memory during cutover.
A test run improves visibility; it cannot guarantee that every issue will be found or that production conditions will be identical. For a Jira production migration, use the same assistant version used for the test migration.
7. Prepare cutover and validation
Decide whether a change freeze or read-only approach is needed, who can authorize the cutover, and who will validate the result. Set validation responsibilities before migration day so that technical and business owners know what they must check after each wave.
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Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Choose a migration shape that fits your constraints
There is no universal best choice between a broad migration and multiple selective plans, or between moving shared users and attachments early versus with other content. Use the scope, dependencies, app coverage, and cutover constraints to make the trade-off explicit.
| Decision | Option | Useful when | Trade-off to plan for |
|---|---|---|---|
| Migration scope | One broad plan | The agreed scope and dependencies can be handled together in one migration window. | More work is concentrated in a single operational event. |
| Migration scope | Multiple selective plans | You need tighter scope control or a sequence that reflects dependencies and operational windows. | More coordination is needed across plans and waves. |
| App data | Assistant-supported path | The app has a supported migration path through the assistant. | Confirm coverage, prerequisites, and app-data security requirements with the partner. |
| App data | Partner-led or separate path | The assistant does not provide the needed path, or the vendor specifies another procedure. | Timing, data ownership, prerequisites, and support may require separate coordination. |
| Shared users, groups, or attachments | Pre-migrate selected items | Reducing the work left for cutover is important. | Requires additional sequencing and coordination before the main migration. |
| Shared users, groups, or attachments | Move with other content | A combined plan better fits the environment and operational window. | More of that work remains within the main migration sequence. |
Both Atlassian assistants support migration plans that can be broad or divided. Choose only after you understand the product scope, data dependencies, identity topology, app inventory, and available cutover windows.
Check volatile details before committing to a date
Atlassian Support documentation reviewed on October 3, 2026, did not expose original page publication or update dates. Before scheduling, confirm the current product-specific guidance for supported versions, Cloud limits, network allowlists, app migration paths, and assistant capabilities. Treat those as operational details to verify—not assumptions carried forward from an earlier project.
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