The client is an American multinational company headquartered in New York City, and one of the world’s largest pharmaceutical companies in the world, consistently ranking on the Fortune 500 list of the largest U.S. corporations.
The client sought to establish a robust ecosystem of cloud-native applications by implementing standardized CloudFormation templates and automated deployment processes. They were struggling with several challenges, in areas such as:
Organizational Needs: The client required a solution that provided better control, standardization, security, and governance over their cloud infrastructure.
Developer Needs: To meet developer requirements for agility, self-service, and rapid time-to-market for applications.
Cost Management: The client needed to accurately track costs incurred during resource creation and usage and allocate them to specific projects or cost centers to optimize overall expenditures.
Accelerating Clinical Trials: The client aimed to reduce clinical trial time significantly and improve speed-to-market for new treatments.
Brillio designed a comprehensive and long-term solution to address the client’s challenges. The key elements of the solution included:
Built a robust DevOps pipeline, enabling rapid application development, and provisioning to support the client’s business needs.
Established strict compliance and governance rules to ensure that any new cloud resource created adhered to industry standards and internal policies.
Set up a centralized HUB-SPOKE model, creating a service catalog of products. These products could then be efficiently distributed across multiple child accounts from a single service account.
Turned the service catalog into the designated entry point for all cloud support, streamlining resource access and management.
Brillio’s Zero Ops-based managed services brought operational efficiency and cost optimization to the client’s cloud infrastructure, enabling them to focus on innovation and business growth, and delivering multiple significant benefits, including:
Reduced Cycle Time: The time required for compute-intensive clinical trial simulations was significantly reduced from 60 hours to just 1.2 hours, expediting research and development.
Enhanced Security and Standardization: All business units gained access to patched, hardened, and secure instances through the service catalog, promoting consistency and reliability.
Resource Configuration Optimization: Unchecked resource sprawl was brought under control by allowing only Service Catalog-approved products, reducing wasteful spending.
Faster Time-to-Market: Compliance with business goals and the adoption of efficient solutions accelerated the speed at which new products reached the market.
Improved Clinical Trials: Faster simulations resulted in more efficient and cost-effective clinical trials, providing better conditions for patients.
Cost Savings: The client experienced a substantial 30% reduction in costs related to big data analytics, leading to better financial efficiency.
