Flash-Cut Migration to GitHub Enterprise Cloud.

InfoMagnus executed a single-step GHEC-EMU flash-cut migration for a fleet management solutions provider, bypassing traditional upgrade processes and automating Jenkins and RunDeck pipeline reintegration.

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Streamlining Repository Migration for a Fleet Management Solutions Provider.

A leader in fleet management solutions was operating on an outdated version of GitHub Enterprise Server (GHES) and sought a transition to GitHub Enterprise Cloud (GHEC) with Enterprise Managed Users (EMU). InfoMagnus was enlisted to execute this complex migration, bypassing traditional two-step processes to deliver a streamlined solution.

A Flash-Cut Transition to GitHub Enterprise Cloud (EMU).

The client was constrained by an older GHES version and aimed to leverage the advanced features of GHEC-EMU. They sought a "Flash-cut approach" — a single-step migration that would transfer only specific elements (repositories with commit history) while leaving out issues and other items commonly used in full migrations. Jenkins pipelines also had to be reconfigured to point to the new GHEC-EMU instance.

InfoMagnus developed a single-step migration plan bypassing the need for time-consuming GHES upgrades, helped identify the repositories of importance, and scripted production migration scripts for a smooth migration. Custom scripts were also prepared to automate the reintegration of Jenkins pipelines and RunDeck tooling.

Key Benefits.

  • Successful GHEC-EMU Migration: Completed a seamless transition, meeting all provisioning requirements.
  • Custom Migration Approach: Tailored strategy ensured efficiency and minimized disruption.
  • Optimized Process Management: InfoMagnus handled the migration end-to-end, streamlining execution.
  • Client Satisfaction: The client affirmed the success and effectiveness of the customized migration strategy.
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InfoMagnus is an AI-native engineering company and GitHub Advanced Partner and GitHub Platform Channel Partner of the Year (AMERS) helping enterprises build intelligent software systems, modernize applications, and turn AI execution into measurable outcomes.

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