InfoMagnus migrated 9 high-priority repositories and converted 150 ADO pipeline configurations for a global investment management firm, establishing a replicable, team-led migration model for their remaining 1,500 repositories.
A global investment management firm managing billions in assets across equities, fixed income, and multi-asset strategies had accumulated substantial technical debt across its DevOps toolchain over the course of a decade. Azure DevOps (ADO) Cloud served as the primary CI/CD platform, but fragmentation across 1,500 repositories and 150+ unique pipeline patterns created operational friction, knowledge silos, and barriers to team autonomy.
The firm recognized that tool consolidation was essential to enable faster delivery, reduce operational overhead, and build internal capability. The strategic imperative was clear: migrate from Azure DevOps to GitHub Enterprise Cloud (GHEC). The execution challenge required a structured methodology that would prioritize high-impact repositories for early migration, convert complex ADO pipeline logic into idiomatic GitHub Actions workflows, build internal knowledge and confidence for self-led migrations, and maintain business continuity while establishing governance and best practices across GHEC.
InfoMagnus analyzed all 1,500 repositories to identify 9 high-priority targets for immediate migration — each exceeding 1GB in size and representing significant organizational value. This focused scope eliminated analysis paralysis and established a foundation for peer learning.
The team converted 150 ADO pipeline configurations into GitHub Actions workflows. Rather than duplicating ADO logic, conversions modernized the patterns: removing redundancies, improving observability, and introducing reusable workflow components that accelerated subsequent migrations.
The engagement included comprehensive advisory on GitHub Enterprise Cloud architecture: repository organization strategies, branch protection policies, access control models, and CODEOWNERS delegation patterns.
A structured, fixed-fee workshop equipped the engineering and platform teams with the knowledge to lead their own migrations. Topics included repository structure decisions, pipeline patterns, GitHub Actions best practices, and troubleshooting common migration scenarios. The engagement operated on a hybrid delivery model with up to 60 technical hours, weekly planning sessions, asynchronous code reviews, and batched migration waves — each wave informing the next.
At scale, tool migrations are not purely technical problems — they are organizational ones. By prioritizing high-impact use cases, establishing replicable patterns, and embedding learning into the execution workflow, what could have been an 18-month grinding project was transformed into a structured, team-led initiative with clear next steps. The best migrations are not those that move fastest, but those that move teams from dependency to self-sufficiency.