Taking IT Infrastructure to the Next Level with Virtusa and Google Cloud Platform

This Chicago-based financial corporation, and one of the largest commercial insurers in the US, was looking to level up its IT infrastructure as digital transformation becomes a necessity. Looking for a secure and agile cloud-based platform, this company teamed up with Virtusa and Google Cloud Platform to modernize the architecture and provide a flexible and scalable environment to optimize costs and react to business opportunities swiftly.

  • The Challenge

    The following business issues were keeping this financial corporation from reaching the next level in its digital transformation efforts.

    • Lack of a core foundation equipped with state-of-the-art automation of incident management and reporting, network safety, monitoring and logging, and provisioning and de-provisioning of infrastructure and workload scheduling for user accounts
    • Need for robust file and object storage and recovery, operational backups and recovery, and disaster recovery architecture
    • Cost-efficient way to migrate data to a multi-cloud environment
  • The Solution

    These digital transformation goals became a reality working with Virtusa’s deep engineering expertise and Google Cloud Platform’s flexible architecture.

    • Implemented continuous integration and deployment with release and rollback management
    • Leveraged DevOps automation to integrate infrastructure to a secure multi-cloud environment
    • Defined and turned important variables into measurable factors with database and application runtime operationalization
  • The Benefit

    With our solution, this financial giant now has the core foundation needed to sustain its digital edge and keep up with demand in this growing digital business landscape.

    • Automated process, data provisioning, and maintenance within the new infrastructure led to productivity efficiencies and cost optimization
    • Flexible, agile, and scalable multi-cloud environment led to increased performance of data usage and deployment on-demand

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