Challenge

A global networking platform faced a major hurdle. The enterprise wanted to migrate its complex Jira and Confluence Data Center systems to the Cloud. However, 20 years of accumulated on-premise customizations threatened to derail the cloud migration.

They wanted an accelerated, secure data center to cloud migration path and cut their ongoing management costs by over 20%. However, their internal teams faced several roadblocks:

• Complex on-premise customizations: The enterprise had many legacy custom scripts and user-generated code built up over two decades. This made it risky and challenging for technical teams to migrate without causing operational disruptions.
• Limited visibility and low confidence in cloud: The complicated setup meant teams had limited insights into their Data Center's health. This reduced confidence in the success and timeline for a successful data center to cloud migration.
• Scripts hindering migration: The large number of on-premise customizations and unique scripts posed major challenges, making it tough to create a smooth migration strategy to the Cloud.

The enterprise engaged ServiceRocket to help them overcome these challenges and achieve their goals.

Solution

Together with Atlassian, ServiceRocket created a clear and aggressive timeline to tackle these challenges: two months for Confluence and two months for Jira.

The approach emphasized a clean-slate transition to ensure that the new Cloud setup was streamlined, scalable, and ready for future growth.

Key parts of this strategy included:

• Accelerated delivery: The Atlassian FastShift program gave the essential speed and resources for a quick enterprise migration. The enterprise had access to a dedicated Atlassian manager and quicker response times, which kept the Jira and Confluence cloud migration on track.
• Strategic management: ServiceRocket's team led the migration strategy. The plan focused on getting stakeholders involved and confirming necessary changes to ensure continuity for global teams.
• Innovative solutions with LLM technology: In the discovery phase, ServiceRocket and the enterprise used Large Language Models (LLM) to analyze thousands of outdated customizations. The result aided a more modern technical plan that significantly reduced technical debt during the migration.

Results

The migration from the data center to the Cloud was a success. It transformed the enterprise’s operations and helped it achieve its main business goal, which will give it long-term benefits.

• Reduced management overhead by over 20%: The successful cloud migration cut costs, freeing technical staff from routine maintenance. Teams now focus on high-value, innovative projects. This demonstrated a clear return on investment from the cloud migration.  
• Eliminated technical debt: The clean-slate approach and LLM adaptation significantly reduced technical debt and created a modern, simplified architecture.
• Enhanced security and compliance: Moving to a secure Cloud environment improved security and addressed previous vulnerabilities, ensuring safer operations.
• Improved user adoption and productivity: The simpler system increased user engagement and productivity across the organization.

ServiceRocket’s strategy, combined with Atlassian’s FastShift program, enabled the enterprise to create a robust and scalable System of Work. This strategic move positions the organization better for ongoing global growth.