Manufacturing Giant Cuts Costs by $1.5M with Automated Azure Modernization

Overview

A major manufacturing enterprise needed a reliable way to modernize its complex IT environment and prepare for an Azure migration. With more than 700 servers across VMware and Hyper-V, multiple database platforms, and several systems nearing end-of-life, the organization required a fast, accurate assessment to support future planning.

More

A major manufacturing enterprise needed a reliable way to modernize its complex IT environment and prepare for an Azure migration. With more than 700 servers across VMware and Hyper-V, multiple database platforms, and several systems nearing end-of-life, the organization required a fast, accurate assessment to support future planning.

Using Dr Migrate, powered by Intel AI and the Cloud BlazeTech framework, Tech Mahindra delivered a complete analysis of the client’s infrastructure, application dependencies, and cost structure. The entire assessment was completed in three weeks, giving the organization a clear modernization roadmap and a detailed business case for its cloud transition.

Less
manufacturing-unit-woman-thumb

Client Background and Challenges

  • Limited visibility into infrastructure and application dependencies
  • High operational costs and redundant system components
  • Multiple end-of-support platforms increase operational risk
  • Uncertainty around cost, readiness, and priority areas for Azure migration

Our Approach and Solution

Tech Mahindra implemented Dr Migrate within the Cloud BlazeTech framework to conduct an automated, end-to-end assessment of the client’s IT landscape.

  • Automated AI-led discovery across servers, applications, and databases
  • Infrastructure and application dependency mapping to identify risks and modernization priorities
  • Automated R-Lane recommendations to define migration pathways
  • Intel-based cost and TCO modeling for current and future-state scenarios
  • Executive dashboards for clarity and governance-aligned reporting

Business and Community Impact

  • Faster Assessment: Completed 2+ months ahead of traditional methods
  • Annual Savings: Identified $1.5M in operational cost reductions
  • Risk Reduction: Reduced exposure to end-of-life systems by 20%
  • Modernization Roadmap: Provided a clear, phased plan for Azure migration supported by accurate TCO insights