Secure GHEC-EMU Migration with Microsoft Funding.

InfoMagnus helped a financial services firm complete a secure, budget-conscious GHEC-EMU migration while maximizing soon-to-expire Microsoft funding credits through a hybrid enablement approach.

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Secure & Strategic: A Migration to GHEC-EMU With Microsoft Funding.

A financial services firm required a migration from GHEC to GHEC-EMU to enhance security. The project demanded a balanced approach that aligned with the client’s budget and urgent migration timeline while leveraging soon-to-expire Microsoft funding credits.

Strategic Collaboration: Enabling a Secure Migration With a Hybrid Approach.

InfoMagnus immediately started scoping conversations with the team to understand the challenge. Working within the budget, InfoMagnus proposed a hybrid solution. The approach provided additional hands-on training with real repositories to enable their teams on a self-led migration. InfoMagnus also assisted with dry runs and migrations into sandbox environments, which helped accelerate the migration process.

InfoMagnus collaborated closely with both the GitHub and Microsoft account teams to secure an extension of the Microsoft funding. This strategic partnership afforded the firm extra time to effectively complete the migration process with InfoMagnus’s expert guidance.

Key Benefits.

  • Building Strong Foundations: Customer value delivered and GitHub and Microsoft relationship enhanced.
  • Credit Consumption & Value: The firm maximized the value of their Microsoft credits and consumed them before expiration, while accelerating migrations to EMU.
  • Expanded GitHub Usage: During kickoff, the team expressed interest in enhancing GitHub with inner sourcing, code reuse, Copilot, and pipelines post-migration — creating opportunities for further GitHub expansion and additional investments.
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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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