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    Optimized Multi-Cloud Infrastructure & Reduced Operational Costs for the GCC of a Global Healthcare Manufacturer

    Client : A Global Healthcare Manufacturer
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    case study
    • GCC
    Problem Statement Problem Statement

    The client is the GCC of a leading global healthcare manufacturer, responsible for managing enterprise applications, infrastructure operations, and system reliability across regions.

    Operating in a fragmented multi-cloud environment, the organization faced inconsistent infrastructure setups, rising cloud costs, frequent system failures, and security vulnerabilities. Limited standardization, manual processes, and lack of unified governance made deployments complex and reactive, impacting performance and scalability.

    Key Challenges Key Challenges
    • Lack of standardized infrastructure and cloud architecture
    • Multi-cloud complexity with inconsistent configurations across AWS and Azure
    • Frequent system failures due to lack of proactive monitoring
    • Legacy systems and outdated database versions increasing operational risk
    • Security vulnerabilities due to lack of automated compliance and patching
    • Unoptimized infrastructure leading to high cloud costs and redundancies
    • Database performance issues due to suboptimal IOPS and scaling limitations
    Solution ImplementedSolution Implemented
    • Designed a standardized multi-cloud architecture across AWS and Azure

    • Implemented Terraform-based infrastructure automation (IaC)

    • Established CI/CD pipelines for automated deployments

    • Upgraded and modernized legacy databases and systems

    • Optimized IOPS and compute for improved performance

    • Deployed proactive monitoring and automated health checks

    • Enabled security automation with patching and compliance controls

    • Rationalized infrastructure to eliminate redundancies and reduce costs
    Architecting with the Best Tech Stack
    • Azure
    • AWS
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    Business Impact
    • 25% reduction in cloud infrastructure costs through optimization

    • 40% reduction in system failures, improving reliability

    • 60% faster deployment cycles with automation

    • 30% improvement in system performance

    • 50% reduction in security vulnerabilities

    • 35% improvement in infrastructure visibility and control

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