Cloud Modernization for a Global Life Sciences Company

About

Leading health technology provider dedicated to improving people's lives through meaningful innovation. With a rich history dating back to 1891, it has grown to become a global leader in healthcare technology, offering a wide range of products and services designed to enhance patient care and outcomes.

With a reported revenue of approximately €17.2 billion in 2022, the company demonstrates strong market presence and consistent growth. Serving millions of patients globally, it ensures access to innovative and high-quality healthcare solutions. It is estimated that their products and services impact the lives of over 1.5 billion people annually, contributing significantly to global health and well-being.

Challenges Faced

Company faced challenges with its legacy IT infrastructure, which was costly to maintain, lacked scalability, and hindered its ability to leverage advanced analytics and data-driven decision-making.

Implementation

Assessment and Planning

  • Current State Analysis: Conducted a thorough assessment of the existing IT infrastructure, identifying key pain points and areas for improvement.

  • Cloud Strategy Development: Developed a comprehensive cloud strategy, outlining the migration roadmap, target architecture, and key performance indicators (KPIs).pain points and areas for improvement.

Security and Compliance

  • Data Encryption: Ensured end-to-end encryption of data both in transit and at rest using AWS Key Management Service (KMS) and AWS Cloud HSM.

  • Regulatory Compliance: Adhered to industry-specific regulations such as HIPAA and GDPR, leveraging AWS Compliance offerings to maintain high standards of data protection.

Cloud Migration

  • Infrastructure as a Service (IaaS): Migrated on-premises servers and storage to AWS, leveraging services like Amazon EC2 and Amazon S3 for scalable and secure infrastructure.

  • Platform as a Service (PaaS): Adopted AWS PaaS solutions such as AWS Elastic Beanstalk for application development and deployment, enabling faster and more efficient software development cycles.

  • Data Migration: Transferred critical data to AWS databases like Amazon RDS and Amazon Redshift, ensuring minimal disruption to ongoing operations and maintaining data integrity.

Application Modernization

  • Cloud-Native Applications: Re- engineered legacy applications to be cloud-native, utilizing microservices architecture and containerization with Amazon ECS and AWS Faregate.

  • Advanced Analytics and AI: Implemented advanced analytics and AI capabilities using AWS Sage Maker and AWS Glue to drive data-driven insights and innovation.

Monitoring and Optimization

  • Performance Monitoring: Implemented continuous monitoring of cloud resources using Amazon CloudWatch to ensure optimal performance and cost-efficiency.

  • Continuous Improvement: Established a feedback loop to continuously gather insights and make iterative improvements to the cloud environment.

Change Management and Training

  • Stakeholder Engagement: Engaged key stakeholders throughout the process to ensure alignment and buy-in.

  • Training Programs: Developed comprehensive training programs for IT staff and end-users to facilitate a smooth transition to the new cloud environment.