Case Study·

Cloud Managed Services with AWS for Leading Pharma Company

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Faster time-to-market and significant cost reduction with AWS

Challenge:

The client was trying to build an ecosystem of cloud-native applications with standardized CFT templates and automated deployment. The client needed to drive agility, security, and governance across their platforms and the digital ecosystem. The new applications should enhance the control and improve standardization across the organization, boosting performance and significantly reducing the time to market.

  • Improved agility and self-service
  • Faster time-to-market
  • Reduce clinical trial time

Solution

Brillio started by building a DevOps pipeline based on AWS for speeding up the app development process and for enhancing business app provisioning.

We also leveraged our deep AWW expertise and built a product service catalog using Product Factory Framework in a HUB-SPOKE Model where products are getting distributed into multiple child accounts from a single service account with its product.

  • Provided multi-year support for all AWS DevOps utilities and service catalog ecosystems.
  • Leverage service catalog to be the entry point of all AWS Support
  • Built a DevOps pipeline based on AWS

Business Benefits

Following Brillio’s implementation, there was an immediate 35% reduction in cycle time for new deployments through DevOps automation, as well as a reduction in cycle time from 60 to 1.2 hours for compute-intensive clinical trial simulations.

Brillio also significantly improved the security by providing patched, hardened secure instances to all business units. We also provided 20+ starter kit templates for quick-service onboarding on the cloud created as part of the Service Catalog.

  • Significantly improved cycle time (35% reduction) and time-to-market
  • 40% cost reduction with JIT architecture and 30% on big data analytics
  • Reduced resource configuration sprawl to only Service Catalogue approved products
  • Ensured easy compliance with business goals and reduces the time-to-market for solutions
  • Running simulations 98% faster led to more efficient and less costly clinical trials, as well as better conditions for patients

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