Hello Atlassian Community! 👋
If your organization is evaluating long-term architecture or planning a phased transition from Data Center to Atlassian Cloud, you’ve likely faced the classic question:
"Which Jira projects can safely move to Cloud today, and which ones will break if we migrate them out of sequence?"
For large and complex instances, answering this question has traditionally meant weeks or months of manual SQL queries, endless spreadsheets, and cross-team guesswork—often involving dozens of admins, consultants, and migration partners. Worse still, hidden dependencies may go unnoticed until after cutover.
Today, we are thrilled to announce the Early Access Program (EAP) for Instance data mapping!Â
Prototype preview; final interface may varyÂ
What is Instance data mapping?
Instance data mapping is a native, cluster-safe tool built directly into your Data Center environment. In just a few hours, it automatically scans and maps the hidden web of connections across your entire Jira instance so you can design safe, predictable, and conflict-free migration waves before anything moves.
Key Capabilities: What you get
1. Automated project dependency mapping
Get a clear, centralized view of connections across projects:
- Shared Configurations: Identifies shared workflow schemes across projects to prevent workflow duplication, scheme conflicts, and configuration drift across migration waves.
- Cross-Project References: Highlights issue links, multi-project boards, and shared filters that show how projects are connected and may need to move together.
2. Smart project classifications
Every project is automatically categorized into an intuitive migration profile:
- Isolated: Self-contained projects with zero or minimal external ties.
Your ideal Wave 1 pilot candidates. - Satellite: Lightly connected projects that orbit a primary cluster.
Best migrated alongside related projects, with clear visibility into any minor links. - Hub: High-centrality projects that many others depend on.
Helps you plan dedicated waves and pre-migration cleanups with zero surprises.
3. User footprint & activity insights
Identify user distributions per project and flag inactive projects (e.g., untouched for 12+ months) as candidates for archiving rather than migration.
4. Actionable CSV & JSON exports
Export your full scan and classification summary to share with your migration partners, feed directly into your internal tooling, or consolidate planning across multi-instance environments.Â
Enterprise-Grade Security & Performance Architecture
We engineered Instance data mapping from the ground up to meet the strict security and operational standards of large enterprise Data Center environments :
- 100% In-instance data residency (zero external egress):
- The tool runs entirely within your firewall as a native Data Center app.
- No external network calls, no cloud telemetry, and zero outbound data transmission.
- Strictly read-only & non-destructive:
- Only executes read-only operations via native Jira APIs. It will never mutate, delete, or write to your production tickets, workflows, or schemes.
- Cluster-safe & non-blocking performance:
- Background asynchronous engine with batched processing to ensure negligible heap impact and prevent database connection saturation.
- Clustered task coordination across all nodes with live monitoring and cancellation controls.
- Strict role-based access control:
- Restricted exclusively to authenticated Jira system administrators.
Join the Early Access Program (EAP)
We are inviting a limited cohort of Jira Data Center administrators and migration leads to participate in our early access program.
What does participation look like?
- Lightweight commitment: ~3 hours total (install the app, run the scan, and join a brief feedback session with our product team).
- Immediate value: Uncover hidden project dependencies and classifications in hours to plan your migration waves with confidence.
- Direct product influence: Your input will help shape subsequent releases and explore future cross-product dependency tooling.
Apply to join the Instance data mapping EAP here
