Documents to help you prepare to migrate your Atlassian server products.
Articles to help assess your migration costs license status.
Learn about migration timelines, roadmaps, app and Atlassian Access with these resources.
Look up resources on Jira and Confluence cloud, data hosting regions, LDAP, and ADFS.
Pre-migration checklists for Jira, Confluence, and Bitbucket.
A collection of topics that help prepare you to migrate your apps to the cloud.
Native tools and resources that will help with your migration.
Documents to help you use Jira Site Import to migrate to cloud.
Documents that walk you through using the Confluence Cloud Migration Assistant to migrate to cloud.
Resources to help get started and testing after you migrate.
Migration is the perfect opportunity to clean up your data and move to a cleaner slate in the cloud. The moment you decide to migrate, the primary focus should be on evaluating the value of the data versus the volume of data you will be migrating. The more data you migrate, the longer and more complex your migration is likely to be.
Because of this, we recommend taking the time to clean up your server instance before running your test migration. This can result in a smoother migration, fewer performance issues, and even productivity gains once in cloud.
A thorough diagnosis of the server instance and way of working could include running scripts and negotiating with other stakeholders to make decisions about how to move forward to the cloud. The time frame for the decision-making of what to migrate and what not varies based on the data complexity.
The best time to do a cleanup is before the migration, but strictly not during the migration.
Clean up your Jira instance
Review your Jira data
Check for and remove any unused apps or trial data.
Make a list of projects that you want to migrate, and if there are any that you don't need, remove it before migrating. In general, unused projects and issues are a great thing to clean up, since they impact performance as well as impact the time you need to spend managing them.
See how much data you have and if there are opportunities to reduce data size or complexity. You can use the System info page to access this data. Data could include:
Number of projects
Number of custom fields
Number of workflows
Number of screens, issue types, permission schemes
Number of users
Number of inactive users
MANDATORY STEP: Fix any duplicate email addresses. Learn more about fixing duplicate email addresses
MANDATORY STEP: Check for conflicts with group names. Learn more about checking for conflicts with group names
Use third-party apps like Optimizer for Jira that can help you assess current usage and clean up your system.
To ensure successful migration of the server data, use the Database Integrity Checker (native to Jira Server) and the Integrity Check for Jira app from the Atlassian Marketplace to check the status of your data.
Learn more tip and tricks for cleaning up Jira from one of our community leaders.
Some customers choose to delete all their data and migrate only configuration and empty project containers. This may be a good option if you're planning to start fresh in the cloud, but would like the same configuration you have on the server.
Minimize your Jira data customizations
Standardize custom workflows to reduce data complexity before migration.
Review groups and permission schemes to see which are being used, which aren't, and if there are opportunities to standardize or simplify them.
Streamline custom fields, schemes, issue types, statuses, resolutions, boards, filters, and screens.
Here are some Jira clean-up queries
These are sample queries and may require some additional tweaking or testing in your own specific environment. Contact a DBA in your organization for additional assistance. Some of these queries may take a long time to run in large instances with millions of rows. Run these with caution, preferably on your testing environment first.
Custom fields which are not used
Custom fields which have low usage
List custom fields that have not been updated after date (YYYY-MM-DD)
User activity related to a custom field
Uses the complete custom field id. Ex: customfield_10301
List all select-list type custom fields
List all custom fields along with the options
Filters which contain a "Custom Field Name" or custom field id "10001"
Workflows that reference a custom field
Fields with a global context ⭐
Non-calculated fields with contexts & no values that do not have Screen/Workflow/Notification schemes
Non-calculated fields with contexts, no values, and do not have Workflow/Notification scheme, but are mapped to some screens
Audit custom field misuse
This is a potential query to assist in extracting how custom fields are being used so that you can identify any fields that are being used for alternative purposes, or are just being misused.
Deleting custom fields can also delete associated data.
Be careful when updating or removing shared configuration entities, such as Issue types, Workflows, Custom fields and Schemes from your server instance if you’re planning to migrate additional projects that share these entities later down the track.
Use Jira Cloud Migration Assistant
Another tactic is to leave behind data you don’t need in cloud. You can use the Jira Cloud Migration Assistant to execute the following pre-migration techniques:
Sort project by “last updated” on the project selection page. This can help you focus on which projects to migrate before others.
Migrate archived projects either ahead or after the migration so that you don’t increase risk and migration downtime for the active projects that matter to current users.
The Jira Cloud Migration Assistant does not migrate all the configurations from your Jira server instance to the cloud. It performs an analysis of what’s needed for the projects you have selected, and only migrates the necessary for those projects to continue working in the cloud. This means that any unmapped or unused configurations like workflow schemes, permissions schemes, custom fields that are not used by the selected projects are not migrated to the cloud. See what gets migrated with the Jira Cloud Migration Assistant
Generate the pre-migration report to review your data.
Before the migration, ensure you have checked everything on the Jira pre-migration checklist.
Clean up your Confluence instance
Review your Confluence data
Check for and remove any unused apps or trial data.
Consider removing or leaving behind anything that is not in use for long. This could include specific pages, entire spaces, attachments, macros, or apps. Learn more about how to gather usage statistics from Confluence.
If you're migrating from Confluence Data Center or a large server instance, you may want to test your migration on some of your larger spaces that have lots of comments or attachments.
Minimize your Confluence data customizations
Find number of pages created by a user between a time frame.
Query to return statistical results for Content Creation, per user:
Find last modified date for each space in a given time to look for unused spaces
List last modification date for each space in a given time:
For more information about cleaning up Confluence, see Clean up your Confluence instance.
Before the migration, ensure you have checked everything on the Confluence pre-migration checklist.
More information and support
We have a number of channels available to help you with your migration.
For more migration planning information and FAQs, visit the Atlassian Cloud Migration Center.
Have a technical issue or need more support with strategy and best practices? Get in touch.
Looking for peer advice? Ask the Atlassian Community.
Want expert guidance? Work with an Atlassian Partner.
Was this helpful?