With Atlassian's recent announcement about Data Center's end-of-life, teams are accelerating their Cloud migration plans. It makes sense - Atlassian is channeling its development resources into the Cloud platform, delivering faster feature rollouts, enhanced automation capabilities, and continuous improvements to roadmaps and dashboards.
The Cloud shift eliminates the fragmentation of tools and removes infrastructure headaches. When Atlassian takes over availability, scaling, backup management, and upgrades, your team can redirect their energy toward perfecting workflows and improving delivery.
Many organizations initially chose Data Center for security reasons, but Cloud has made tremendous strides in this area. You'll now find expanded data residency options, robust compliance frameworks like FedRAMP, and dedicated single-tenant environments for organizations with strict security requirements. For most teams, the Cloud platform now provides all the security controls they relied on in Data Center, plus a more straightforward path to stay current.
Starting your migration journey requires thoughtful planning: carefully cataloging your current setup, executing pre-migration verification checks, and thoroughly testing in a Cloud sandbox before touching your production environment.
The Jira Cloud Migration Assistant (JCMA) and Atlassian's comprehensive migration resources provide clear pathways, effective tools, and validation procedures to keep downtime minimal and avoid technical complications.
In this guide, we'll share practical strategies for organizing your migration and provide hard-won insights based on our experience helping teams successfully transition to the Cloud.
Before transferring any data from Data Center to Cloud, you need a clear picture of your current environment. Conduct a thorough inventory including:
This comprehensive audit streamlines your migration, resulting in a more efficient and clean transition.
Cloud compatibility varies significantly across marketplace apps. While some support seamless migration through JCMA, others require custom migration processes, and a few may not have Cloud equivalents at all. Identifying potential blockers early prevents unwelcome surprises during the actual migration.
When evaluating your Data Center apps for Cloud readiness, look for these key indicators:
You'll need to choose between two primary migration strategies:
Atlassian's Cloud Migration Guide supports both methods, and your choice should reflect your instance size, complexity level, and acceptable downtime threshold.
After completing your assessment, develop a structured migration plan covering:
A well-defined plan creates a clear roadmap for all stakeholders and minimizes the risk of delays or technical complications.
Before transferring content to Jira Cloud, optimize your Data Center instance. A streamlined environment migrates more efficiently and with fewer complications.
Data Cleanup
App Compatibility Verification
Migration Tooling Preparation
You have two primary methods for transitioning from Data Center to Jira Cloud: the Jira Cloud Migration Assistant (JCMA) or Jira Site Import. Your selection should consider instance complexity, size, and acceptable migration downtime.
JCMA serves as Atlassian's purpose-built migration tool for transferring projects, users, groups, and configurations to Cloud environments. It enables staged migrations, allowing project-by-project transfers, result verification, and risk minimization. The tool preserves issue history while helping you evaluate marketplace apps and automations before the final transition.
For most organizations, this represents the optimal approach. It reduces disruption, handles diverse workflows and custom fields effectively, and facilitates planned, phased migration. This method particularly benefits teams wanting to test in sandbox environments, address permission or user management issues early, and ensure smooth transitions during the final production migration.
Key Requirements
Process Overview
The Jira Site Import method involves exporting a comprehensive XML backup from Data Center and importing it into Jira Cloud. This all-at-once approach works well for small, straightforward instances.
Consider this approach for scenarios requiring a single cutover when extended downtime is acceptable. Be mindful of size restrictions and understand that imports typically overwrite existing Cloud data, with limited support for partial imports. Plan comprehensive validation procedures and establish a rollback strategy.
Process Overview
Expert Recommendation: If uncertain, begin with JCMA. You can still employ Site Import for specific scenarios after testing with JCMA and identifying components that require alternative approaches.
Always conduct a test migration before making changes to your production environment. This reveals what transfers smoothly to Jira Cloud and what requires adjustment, helping reduce actual migration downtime.
Create a dedicated test Cloud environment. Utilize a separate sandbox to trial your migration without affecting users. Install identical marketplace apps and replicate key settings from your production environment.
Thorough Testing Guidelines
Refine configurations, optimize data, or adjust migration parameters based on your findings. Continue testing until you achieve clean results.
Involve key stakeholders in the testing process. For instance, include project leads or service agents to perform typical tasks in the test environment and provide feedback. This helps identify practical issues early and refines your post-migration orientation process.
Schedule your migration during low-usage periods to minimize disruption. Clearly communicate the timeline, expected impact, and where users can monitor status updates.
Remember to set your Data Center instance to read-only mode to prevent changes during the migration. Then proceed with your chosen method, typically JCMA, while closely monitoring the process.
Follow your planned sequence precisely: projects first, followed by users/groups, and finally any app data supported by the migration tool. Monitor logs and warnings continuously, addressing minor issues immediately rather than allowing errors to accumulate.
Immediately after completion, verify the Cloud environment:
After confirming everything functions correctly, verify completion with a focused checklist: user accounts are operational, data integrity is confirmed (for projects, workflows, dashboards, and custom fields), and essential apps are functioning as expected.
If you discover gaps, address them immediately and reprocess only the affected elements. Then remove the read-only restriction and announce completion, including information about where users can report issues during the stabilization period.
Begin with reviewing permissions and roles. Cloud permission structures often differ from Data Center configurations, so performing a quick audit prevents frustration: verify users can browse and modify issues, access boards and dashboards, and administer appropriate projects. When issues arise, examine permission schemes first, followed by groups and project roles.
Conduct an early user management review. Verify accounts and email domains, remove unexpected access, and reassign project roles as needed. For Jira Service Management users, verify portal access and customer permissions to ensure agents and customers can resume work promptly.
Next, review workflows and automations. Certain validators, post-functions, or scripted rules from your on-premises environment may not exist in Cloud. Rebuild essential rules using native Cloud automations, then perform basic "create - transition - notify" tests to ensure proper functionality. Monitor custom fields as well; redundant or unused fields can impede team efficiency and create interface clutter.
To maintain continuity, perform brief functional tests in key projects: create issues, process them through primary workflows, verify notifications, and confirm board and report functionality. Address any issues immediately and retest affected areas.
Effective communication is essential after migration completion. A concise announcement highlighting Cloud platform enhancements (such as integrated roadmaps and enhanced native automation) and support resources will alleviate concerns and accelerate adoption.
Finally, plan a focused optimization review. Identify redundant apps, audit remaining Data Center components, standardize schemes, organize dashboards and filters, and document your new processes for future project implementations. This targeted approach reduces ongoing administration requirements and maintains your Jira Cloud environment's performance and usability.
Even with careful planning, certain patterns frequently cause difficulties. Here's what to monitor and how to quickly resolve issues without extending migration downtime.
Many marketplace apps behave differently in Cloud environments compared to Data Center, and some don't automatically migrate data. If you depend on scripting or time-tracking extensions, prepare for reconfiguration. Conduct a comprehensive app assessment and research each vendor's migration pathway using Atlassian's app evaluation tools.
Warning signs: Missing information, workflow disruptions, or feature gaps after migration.
Account mappings between DC and Cloud are often imperfect. Duplicate accounts (identical email with different usernames) or reactivated dormant users may appear. If you utilized LDAP/AD in your on-premises environment, consider implementing SCIM provisioning through Atlassian Guard to maintain clean user management in Cloud.
Best practice: Validate email addresses and domains during preliminary checks; synchronize groups from your identity provider to ensure permission structures match team expectations.
Certain global permissions and group-to-role mappings translate inconsistently. When users unexpectedly lose browsing or editing capabilities, or when dashboards appear empty, first examine the project's permission scheme, then verify group and role memberships. Comparing against your Data Center model typically reveals the discrepancy.
Cloud automations operate with different triggers, actions, and service limitations. On-premises scripted validators or post-functions frequently require Cloud-native reconstruction. When transitions fail or notifications stop working, examine the rule's audit trail and Cloud automation limitations, then simplify the rule structure or divide it into smaller components.
Naming duplications (e.g., multiple "Customer Name" fields), unnecessary custom fields, or incompatible field types can interrupt migration or create data mapping problems. Merge duplicates and remove obsolete fields before migration, then inspect screens and dashboards afterward to ensure proper field rendering.
Extensive product data, particularly attachments, can slow migration processes or exceed Cloud plan limitations. Standard plans have product-specific storage constraints; consider archiving older projects, reducing attachment sizes, or implementing a staged migration for data-intensive teams to minimize risk.
Recovery strategies:
The majority of marketplace apps support Cloud environments, and many developers provide clear migration pathways through the Jira Cloud Migration Assistant. A practical approach involves evaluating each app during planning, confirming Cloud availability, and understanding whether data transfers automatically or requires manual intervention. For workflow-critical or dashboard-essential apps, consider implementing a limited pilot, then validate in a sandbox before proceeding to production.
When reviewing marketplace listings, look for trust indicators such as the Runs on Atlassian Badge and SOC2 certification, which validate the vendor's security credentials.
Smart Checklist, for example, displays these trust indicators on the Atlassian marketplace, confirming its Cloud readiness and security compliance.
Check out Smart Tools for Jira on Atlassian Marketplace.
For specific migration steps or data handling questions, consult the vendor's documentation or contact their support team for migration guidance customized to your Cloud environment.
Successful Data Center to Jira Cloud migration hinges on thorough planning, realistic testing, and transparent communication. Audit your existing environment, select appropriate migration tools (typically JCMA), conduct comprehensive sandbox testing, and verify permissions, user management, and key applications after transition.
Following migration, monitor system health closely: promptly address minor issues, eliminate unnecessary configurations, and optimize automation and scheme structures to help teams resume normal operations quickly. For detailed guidance, consult Atlassian's Cloud Migration Guide. For additional context on app migration and preparation, our previous article on Server-to-Cloud migration provides valuable supplementary information.
Once established, take advantage of Cloud-exclusive features: native automation capabilities, enhanced search functionality, and integrated roadmaps to establish more efficient workflows in your new Jira Cloud environment.
Jira Cloud delivers faster feature updates, integrated automation, enhanced roadmaps and dashboards, while eliminating infrastructure management requirements. Atlassian manages availability, scaling, backup processes, and upgrades, allowing your team to concentrate on workflow optimization and delivery improvement rather than maintenance tasks.
Site migration (complete transfer) works effectively for smaller instances or when a clean transition is necessary. Phased migration better suits larger, complex environments as it enables project-by-project migration, functionality testing, and reduced service interruption. Your selection should reflect instance size, complexity, and acceptable downtime duration.
Most marketplace apps support Cloud migration, though functionality and data transfer methods vary. Some apps integrate with JCMA for automated migration, others require manual setup, and a few may lack Cloud equivalents entirely. Always verify app compatibility and review migration documentation before proceeding.
Cloud permissions don't always directly correspond to Data Center configurations. After migration, perform a thorough review of permission schemes, group memberships, and project roles. Test access with representative users to confirm they can browse issues, view boards/dashboards, and perform necessary functions.
Some validators, post-functions, or scripted rules from Data Center may not exist in Cloud. Rebuild essential rules using Cloud-native automation tools, then test basic workflow paths to verify proper functionality. For complex automations, consider implementing simpler rule sets that operate within Cloud service parameters.
Downtime varies based on instance size and migration strategy. Phased migrations can limit downtime to brief windows for each project group. Complete site migrations typically require freezing all changes during the transfer process, which may take hours or days depending on data volume. Always schedule migrations during low-activity periods.
Validate email addresses and domains during pre-migration verification. If you used LDAP/AD in Data Center, consider implementing SCIM provisioning through Atlassian Access for synchronized user management. Watch for duplicate accounts (identical email with different usernames) and previously deactivated users that might reactivate during migration.
Viktoriia Golovtseva _TitanApps_
Senior Content Writer & Marketer
Railsware
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