Best upgrade path for pol-2310 backlog management - live migration with 500+ projects

We’re planning a major upgrade from pol-2203 to pol-2310 for our enterprise Polarion installation managing 500+ active projects. The main concern is backlog management data integrity during migration - we have thousands of work items with complex sprint assignments and dependencies.

Has anyone successfully executed a live migration at this scale? I’m weighing two approaches: baseline export/import versus parallel instance sync with read-only cutover. The pre-upgrade analyzer flagged several custom workflow extensions that might break, so we need a rollback strategy if things go sideways during the migration window.

Particularly interested in experiences with sprint boundary timing - should we freeze all sprint planning activities during the upgrade or can teams continue working in read-only mode? Our organization runs continuous sprints across 40+ teams so coordinating a complete freeze is challenging.

Based on the discussion here, let me share our complete migration strategy for large pol-2310 upgrades that addresses all the concerns raised:

Baseline Export/Import Considerations For 500+ projects, baseline export/import is not your best option despite being simpler conceptually. The export process will struggle with memory allocation and you risk partial exports that corrupt your data. We attempted this approach initially and abandoned it after the third failed export attempt. Baseline export works well for under 100 projects but doesn’t scale to enterprise installations.

Pre-Upgrade Analyzer Deep Dive Run the pre-upgrade analyzer three times during your planning phase: initial assessment, after fixing critical issues, and final validation before cutover. Pay special attention to custom workflow warnings - these almost always indicate breaking changes in pol-2310. Document every flagged workflow extension and test each one individually on your parallel instance. We found that 30% of our custom workflows needed code updates for pol-2310 compatibility.

Parallel Instance Sync Architecture This is your best path forward for 500 projects. Set up a complete pol-2310 instance in parallel with your production pol-2203 system. Use Polarion’s built-in sync tools to replicate data incrementally - start with project structure and configuration, then sync work items in batches of 10,000 items. Run continuous sync for 2-3 weeks before cutover so you can identify and fix data inconsistencies early. The parallel approach lets teams test the new version while production stays operational.

Read-Only Cutover Strategy This is the critical piece that ensures data integrity. Schedule your cutover for a sprint boundary - ideally the Friday before sprint planning week. Put the production pol-2203 instance in read-only mode 48 hours before final sync. During read-only period: teams can view backlogs, generate reports, and review sprint progress, but cannot create or modify work items. This freeze window prevents sync conflicts and gives you a stable snapshot to migrate.

Sprint Boundary Timing Coordination Coordinate with all 40+ teams to align their sprint closures within a two-week window. This doesn’t mean freezing all work, but rather scheduling the upgrade during the natural sprint break when teams are doing retrospectives and planning. We sent a migration timeline to all scrum masters six weeks before cutover with specific dates for read-only mode, cutover execution, and production validation. Most teams appreciated the advance notice and adjusted their sprint schedules accordingly.

Final Cutover Execution With 320 projects our final cutover took 14 hours including validation. For 500 projects expect 18-22 hours. Run the final sync overnight, validate data integrity with automated scripts, then open pol-2310 for production use. Keep the pol-2203 instance available in read-only mode for 1-2 weeks as a fallback reference. We didn’t need to rollback but having that safety net gave stakeholders confidence.

The parallel instance sync method with sprint boundary timing gave us zero data loss and minimal disruption. The key is starting the parallel sync early and running it continuously so you’re not trying to migrate 500 projects in a single cutover window.

Don’t try to export 500 projects as a single baseline - you’ll hit memory limits and the export will fail partway through. We learned this the hard way. Batch your exports in groups of 50-75 projects and run them overnight. The parallel instance sync method mentioned earlier is more reliable for large installations because it handles incremental updates rather than one massive export/import operation.

The pre-upgrade analyzer warnings about custom workflows are critical - don’t ignore those. We had several custom extensions that silently failed after our pol-2310 upgrade because the workflow API changed. Test every custom workflow on your parallel instance before cutover. For sprint boundary timing, I strongly recommend coordinating with teams to align the upgrade with sprint closure. We tried a mid-sprint upgrade once and lost several days of backlog refinement work because the sync didn’t capture in-progress changes correctly.

We migrated 320 projects to pol-2310 last quarter using the parallel instance approach. Baseline export/import works for smaller installations but at your scale you’ll want the parallel sync method. Set up a staging instance running pol-2310, use the migration tools to sync data incrementally, then do a final cutover during a planned maintenance window. The key advantage is you can test everything on the parallel instance before committing to the upgrade.