IT Infrastructure Transformation for a Leading Pharmaceutical Enterprise

Introduction:

A leading pharmaceutical enterprise sought to modernize its analytics platform to support increasing data volumes, advanced analytical models, and faster access to business insights. The organization was operating SAS Viya on a traditional Windows-based infrastructure, which was becoming a constraint due to limitations in scalability, performance, and operational agility.

To overcome these challenges, Indus Systems and Services implemented a VMware vSphere Kubernetes Service (VKS) solution, enabling the organization to run containerized workloads alongside traditional virtual machines on a unified platform. This transformation allowed SAS Viya to evolve from a conventional VM-based deployment to a modern, cloud-native Kubernetes architecture, delivering enhanced scalability, improved resource utilization, greater operational efficiency, and the flexibility required to support future analytics growth.

Challenges: 

The customer faced several critical challenges with their existing environment:

• Limited Scalability:

  The Windows-based deployment made it difficult to dynamically scale SAS workloads during peak analytics demand.

  
  

• Performance Bottlenecks:

  Increasing data volumes and complex analytical models caused slower execution times.

  
  

• Operational Complexity:

  Manual provisioning and maintenance processes led to higher operational overhead and longer deployment cycles.

  
  

• Resource Utilization Issues:

  Inefficient infrastructure utilization resulted in higher infrastructure costs.

  
  

• Lack of Containerization:

  The legacy setup was not aligned with modern, containerized application architectures required for agility and portability.

These issues necessitated a comprehensive solution that would address current limitations while future-proofing the IT environment.

Our Solution: 

Indus Systems and Services implemented VMware vSphere Kubernetes Service (VKS), enabling the organization to run containerized workloads on its existing VMware infrastructure. This approach modernized the SAS environment while leveraging the scalability and flexibility of Kubernetes.

The solution included:

• Deployment and configuration of VMware vSphere Kubernetes Service (VKS) to establish a Kubernetes-ready platform.

• Implementation of Supervisor and Kubernetes Workload Clusters to provide enterprise-grade container orchestration.

• Containerization of SAS Viya workloads for modern application deployment and simplified management.

• Integration of storage and networking services to ensure performance, availability, and connectivity.

• Configuration of resource governance and access controls to optimize utilization and enhance security.

• Enablement of high availability and lifecycle management to support resilience and simplify operations.

This transformation created a unified platform for managing both virtual machines and Kubernetes

workloads, delivering greater efficiency, scalability, and operational agility.

Implementation Highlights: 

Indus Systems and Services executed the transformation through a structured and methodical approach, ensuring a smooth transition from a traditional SAS deployment to a modern Kubernetes-based environment. Working closely with the customer and SAS experts, the team focused on minimizing risk, maintaining operational continuity, and validating performance at every stage of the implementation. The result was a secure, scalable, and highly available analytics platform designed to support future growth and innovation.

• Assessment and Planning:

  A detailed assessment was conducted to evaluate the existing SAS Viya environment, infrastructure dependencies, workload characteristics, and performance baselines. This enabled the team to develop a well-defined migration strategy aligned with both business objectives and technical requirements.

  
  

• Environment Setup:

  vSphere with Kubernetes clusters were deployed with optimized compute, storage, and networking configurations, ensuring the platform could efficiently support demanding SAS analytics workloads while maintaining operational consistency.

  
  

• Application Migration:

  SAS Viya workloads were successfully re-platformed from a Windows-based environment to containerized Kubernetes pods. Comprehensive compatibility validation and testing ensured seamless functionality, stability, and performance within the new architecture.

  
  

• High Availability and Security:

  Multi-node Kubernetes clusters were implemented to provide resilience, fault tolerance, and business continuity. Role-based access controls (RBAC) and industry-standard security practices were incorporated to strengthen governance and maintain secure operations.

Business Impact: 

The modernization initiative delivered substantial business value by transforming the organization's analytics platform into a scalable, cloud-native environment. By combining Kubernetes orchestration with VMware infrastructure, the solution enhanced performance, simplified operations, and created a strong foundation for future innovation across the R&D ecosystem.

• Enhanced Scalability and Performance:

  The Kubernetes-based architecture enabled dynamic scaling of SAS Viya workloads based on business demand. Combined with optimized compute and storage resources, this resulted in faster data processing, improved application performance, and quicker access to critical business insights.

  
  

• Improved Operational Efficiency:

  Automation, centralized management, and Kubernetes orchestration streamlined day-to-day operations and reduced manual intervention. This simplified administration, shortened deployment cycles, and allowed IT teams to focus on higher-value initiatives.

  
  

• Optimized Infrastructure Utilization:

  By leveraging containerization on the existing VMware platform, the organization improved resource utilization and reduced the overhead associated with maintaining dedicated Windows-based environments, maximizing the value of its infrastructure investments.

  
  

• Greater Agility and Faster Time-to-Insight:

  The modernized platform enabled rapid deployment of new analytics environments and simplified application updates. Researchers and business users gained faster access to analytical results, helping accelerate decision-making and innovation.

  
  

• Future-Ready, Resilient Platform:

  High availability capabilities and Kubernetes-driven resilience improved platform reliability for mission-critical workloads. At the same time, the cloud-native architecture established a scalable foundation capable of supporting future analytics, digital transformation, and business growth initiatives.

Conclusion: 

By leveraging VMware vSphere with Kubernetes, Indus Systems and Services transformed the customer’s legacy SAS Viya environment into a scalable, resilient, and cloud-ready platform. The IT Infrastructure Transformation enhanced application performance, improved operational efficiency, and simplified infrastructure management while supporting growing analytics demands. This initiative established a future-ready foundation for advanced analytics, innovation, and data-driven decision-making across the organization’s R&D operations.

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