Atlassian Cloud migration FAQ 

Strategy and urgency 

1. What is the Atlassian Data Center end of life date, and how does it impact your data center to cloud migration strategy? 

The Atlassian Data Center end of life date is March 28, 2029. Organizations must complete their data center to cloud migration before that deadline to avoid read-only access and loss of support. A structured Atlassian cloud migration reduces operational risk and positions Atlassian Cloud as a stable, long-term platform for performance and growth. 

2. Why should moving Data Center to Cloud be treated as a strategic Atlassian migration rather than just infrastructure modernization? 

Moving Data Center to Cloud affects workflows, governance, and AI enablement across the enterprise. A strategic Atlassian migration aligns delivery practices with the Atlassian System of Work and improves adoption, visibility, and measurable ROI. Treating data center migration to cloud as a business initiative strengthens long-term value realization. 

3. What does a successful Atlassian cloud migration and long-term adoption journey look like? 

A successful Atlassian cloud migration includes pre-migration planning, structured execution, and post-migration optimization. It standardizes workflows, reduces technical debt, and reinforces governance early. Organizations that manage adoption intentionally achieve stronger utilization and sustained performance in Atlassian Cloud. 

4. How does the Atlassian cloud roadmap influence your data center migration to cloud planning? 

The Atlassian cloud roadmap outlines upcoming capabilities, security updates, and Atlassian Cloud AI enhancements. Reviewing it during pre-migration planning helps align your data center migration to cloud with future functionality and expansion opportunities, reducing rework and improving long-term platform alignment. 

Pre-migration planning and cloud readiness 

5. What is a cloud readiness assessment, and why is it critical before starting an Atlassian cloud migration? 

A cloud readiness assessment evaluates integrations, workflow complexity, marketplace apps, and governance maturity before Atlassian cloud migration. This pre-migration step identifies technical debt and risk areas, improving stability and scalability when moving Data Center to Cloud. Cprime’s proprietary Atlassian Cloud Migration Blueprint combined AI-powered automation with human expertise to assess your current and goal states and build a prioritized roadmap for success.

6. What should you evaluate before you move to Atlassian Cloud, and how does an Atlassian pre-migration checklist reduce risk? 

Before you move to Atlassian Cloud, assess integrations, app compatibility in the Atlassian app marketplace, permissions, licensing, and data residency. An Atlassian pre-migration checklist standardizes this review, reduces disruption during Jira data center migration, and strengthens post-migration stability. 

7. What should a Jira Cloud migration checklist include for a successful Jira data center to cloud migration? 

A Jira cloud migration checklist should include data validation, app review, permission alignment, workflow cleanup, and communication planning. For Jira data center to cloud migration, it should also address post-migration adoption and governance controls to protect long-term value. 

8. How do you plan a Jira data center migration as part of a broader data center to cloud migration? 

Plan a Jira data center migration within a comprehensive data center to cloud migration strategy. Conduct a cloud readiness assessment, review marketplace apps, align stakeholders, and optimize workflows before execution. This approach improves coordination and enterprise-wide performance. 

9. How does the Atlassian cloud migration assistant support Jira cloud migration and other product migrations? 

The Atlassian cloud migration assistant automates data transfer, user mapping, and validation for Jira cloud migration and Confluence moves. It reduces manual effort and increases visibility when moving Data Center to Cloud, especially when paired with structured governance and testing. 

10. How can an Atlassian cloud migration guide help structure your pre-migration and execution strategy? 

An Atlassian cloud migration guide provides phased planning steps, technical preparation guidance, and best practices for pre-migration validation. Combined with a cloud readiness assessment and checklist, it improves execution discipline and confidence during Atlassian cloud migration. 

Migration execution and technical considerations 

11. What is the right approach to an Atlassian migration, including Jira cloud migration and Confluence migration? 

The right Atlassian migration approach connects technical execution with workflow optimization and adoption design. Jira cloud migration and Confluence migration should simplify governance, standardize configurations, and prepare data for Atlassian Cloud AI. 

12. Should you lift and shift during a data center migration to cloud, or redesign during Atlassian cloud migration? 

Lift-and-shift supports speed when deadlines are tight. Redesign improves long-term scalability and governance during Atlassian cloud migration. The right data center migration to cloud balances urgency with sustainable performance goals. 

13. How long does an Atlassian cloud migration typically take for complex enterprise environments? 

An Atlassian cloud migration timeline depends on integrations, user volume, customization depth, and marketplace apps. Large Jira data center to cloud migration efforts often span several months–or even up to two years–including validation, phased cutover, and post-migration stabilization. However, there are ways for experienced migration partners to speed up the timeline on even the most complex migration.

14. How do you minimize downtime during a zero-downtime database migration or Jira cloud migration? 

Zero downtime database migration techniques, phased cutovers, and rollback planning reduce disruption during Jira cloud migration. Using the Atlassian cloud migration assistant and structured testing protects continuity when moving Data Center to Cloud. Working with experienced Atlassian Cloud Specialized partners who have already dealt with every possible roadblock and complication also helps.

15. What are the most common risks when moving Data Center to Cloud, and how can they derail your Atlassian migration? 

Common risks include incompatible marketplace apps, excessive customization, weak pre-migration validation, and limited adoption planning. These issues can stall Jira data center migration and reduce long-term value from Atlassian cloud migration. 

16. How do you use the Atlassian cloud migration assistant to support Jira cloud migrate project to another instance scenarios? 

The Atlassian cloud migration assistant supports Jira cloud migrate project to another instance by mapping data, preserving permissions, and validating configurations. This reduces manual effort and improves consistency during complex Atlassian migration initiatives. 

Cost, pricing, and financial planning 

17. How does an Atlassian cloud price increase affect your long-term Atlassian cloud migration strategy? 

With Atlassian Cloud list pricing increasing in October 2025 (and Data Center pricing rising 15% in February 2026), cost scrutiny has intensified. An Atlassian Cloud price increase increases pressure to align licenses with active usage and measurable value. A disciplined Data Center–to–Cloud migration strategy, followed by structured post-migration optimization, ensures licenses map to real workflows, adoption patterns, and business outcomes. This protects ROI, reduces waste, and strengthens the case for long-term Cloud expansion and AI activation.

18. How do you estimate data center to cloud migration costs using a cloud migration cost calculator? 

A cloud migration cost calculator models licensing tiers, storage, and support needs during pre-migration planning. It informs budgeting for Atlassian cloud migration and highlights optimization opportunities before you move to Atlassian Cloud. Working with a proven Cloud Specialized Atlassian Platinum Partner can further optimize the ROI from your Cloud migration investment.

19. How should organizations align licensing strategy during and after Atlassian cloud migration? 

Licensing strategy should reflect active users, workflow maturity, and governance controls. After you move to Atlassian Cloud, periodic reviews reduce sprawl and align post-migration licensing with measurable outcomes. 

Post-migration optimization and maturity 

20. What should you prioritize after you move to Atlassian Cloud to ensure successful post-migration adoption? 

After you move to Atlassian Cloud, prioritize workflow standardization, governance clarity, training reinforcement, and usage visibility. Post-migration optimization ensures Atlassian cloud migration translates into sustained adoption and performance gains. 

21. What does post-migration optimization look like after a Jira data center to cloud migration? 

Post-migration optimization includes configuration cleanup, marketplace app review, permission alignment, and AI enablement. Jira data center to cloud migration succeeds when optimization continues beyond technical cutover. 

22. How do you measure ROI and value realization after you move to Atlassian Cloud? 

Measure ROI by connecting licensing costs, cycle time, throughput, and service performance to enterprise outcomes. After you move to Atlassian Cloud, governance reviews and value visibility tracking sustain post-migration improvements. Many organizations also experience significant improvements by leveraging Rovo as part of the sales process after moving to the Cloud. 

23. What is Atlassian’s System of Work? 

Atlassian’s System of Work is a framework for connecting technology and business teams around shared goals, visibility, and value delivery. It is built on four pillars: aligning work to outcomes, planning and tracking work in one place, unleashing collective knowledge, and realizing the full power of AI. Within Atlassian Cloud, the System of Work provides the structural foundation for scalable governance and responsible AI adoption. 

23. How does the Atlassian System of Work guide optimization after an Atlassian migration? 

The Atlassian System of Work connects teams, tools, and goals through shared visibility and coordinated workflows. After an Atlassian migration, it guides governance, alignment, and responsible Atlassian Cloud AI adoption. 

24. How do you know if your environment is underperforming post-migration? 

Under-performance appears as low feature utilization, duplicated marketplace apps, manual reporting, and inconsistent workflows. A structured post-migration review identifies friction and unlocks greater value from Atlassian Cloud. 

AI and platform evolution 

25. What is Atlassian Rovo, and how does it support Atlassian Cloud AI? 

Atlassian Rovo is Atlassian’s AI capability built into Atlassian Cloud that connects knowledge, search, and automation across Jira, Confluence, and other tools. It uses context from your environment to surface insights, generate summaries, and accelerate decision flow. When implemented within a governed operating model, Rovo strengthens Atlassian Cloud AI adoption and improves cross-team visibility. 

26. How is Atlassian Cloud AI different from AI capabilities in Data Center? 

Atlassian Cloud AI delivers native intelligence embedded directly into workflows, including search, summarization, automation, and contextual recommendations. Data Center environments require separate tooling and infrastructure to achieve similar functionality. Moving Data Center to Cloud enables integrated AI capabilities that support the Atlassian System of Work and streamline collaboration at scale. 

27. How does Atlassian Cloud AI enhance workflows during and after an Atlassian cloud migration? 

Atlassian Cloud AI enhances workflows through summarization, search, automation, and decision support. During and after Atlassian cloud migration, it reduces manual effort and improves signal clarity across teams. 

28. What role does Atlassian Cloud AI play in long-term post-migration value realization? 

Atlassian Cloud AI strengthens long-term post-migration value by embedding intelligence into governed workflows. In mature environments, it improves planning, service resolution, and collaboration outcomes. 

29. What does an AI-ready environment look like after you move to Atlassian Cloud? 

An AI-ready environment includes clean data structures, standardized workflows, defined permissions, and governance controls. After you move to Atlassian Cloud, these foundations enable responsible Atlassian Cloud AI adoption at scale. 

30. What should organizations consider before enabling Atlassian Rovo or Atlassian Cloud AI? 

Before enabling Atlassian Cloud AI or Rovo, organizations should evaluate data quality, permissions governance, workflow consistency, and security controls. Clean configurations and clear ownership structures improve AI accuracy and trust. Embedding AI into standardized processes ensures adoption scales responsibly after you move to Atlassian Cloud. 

Marketplace apps and ecosystem considerations 

31. How does the Atlassian app marketplace impact Jira cloud migration and Jira data center migration planning? 

The Atlassian app marketplace affects migration by determining app compatibility, security posture, and performance risk. During Jira cloud migration and Jira data center migration, reviewing app readiness reduces disruption and technical debt. 

32. What should you evaluate in the Atlassian app marketplace before completing your data center to cloud migration? 

Evaluate Cloud support status, security certifications, performance impact, and cost implications of marketplace apps. This ensures stable Atlassian cloud migration and stronger post-migration governance.