Enabling a Scalable, Kubernetes-Ready SAS Platform for a Leading Pharmaceutical R&D Organization

Introduction:

A leading global pharmaceutical organization’s R&D center in Mumbai was looking to modernize its analytics infrastructure to support its SAS-based research applications. With growing demand for faster data processing, enhanced scalability, and support for containerized workloads, the existing setup was no longer sufficient to meet evolving research needs. The organization aimed to adopt a Kubernetes-enabled platform that could future-proof its analytics environment while ensuring high performance, resilience, and operational efficiency.

To achieve this transformation, Indus Systems and Services partnered closely with the customer and SAS (OEM) to design and deploy a robust, enterprise-grade solution. The approach focused on aligning infrastructure capabilities with advanced analytics workloads, enabling seamless scalability, optimized performance, and a flexible foundation for future innovation in R&D operations.

Challenges: 

As the organization expanded its R&D capabilities and increasingly relied on data-driven insights for innovation, the demand on its analytics infrastructure grew significantly. The existing environment needed to evolve to support modern, containerized workloads while delivering the performance, scalability, and reliability required for SAS-based research applications. At the same time, ensuring alignment with OEM best practices and building a future-ready, resilient platform became critical to sustaining continuous research, accelerating outcomes, and maintaining operational efficiency across the R&D lifecycle.

• Need for Kubernetes Enablement:

  The SAS application required a Kubernetes-supported infrastructure to enable containerized deployment, orchestration, and efficient workload management, ensuring flexibility and consistency across environments.

• High-Performance Requirements:

  Analytical workloads demanded high compute power, scalable storage, and optimized memory performance to efficiently process large and complex datasets without latency or performance degradation.

• Enterprise-Grade Reliability:

  The platform needed to deliver high availability and minimal downtime to support uninterrupted research operations and mission-critical analytical processes.

• Alignment with OEM Best Practices:

  The infrastructure had to be designed in close alignment with SAS recommendations and validated reference architectures to ensure compatibility, performance optimization, and long-term supportability.

• Scalability & Future Readiness:

  The organization required a flexible, modular solution capable of scaling seamlessly to accommodate future R&D expansion, increased data volumes, and evolving analytics workloads.

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

Our Solution: 

After conducting multiple technical workshops and collaborative discussions with the customer’s R&D teams and SAS as the OEM, Indus Systems and Services designed a modern, software-defined infrastructure leveraging:

• Dell HCI Ready Nodes

• Broadcom VMware Cloud Foundation (VCF) platform

• vSphere with Kubernetes (vSphere Kubernetes Service)

The architecture was built to provide a fully integrated hybrid cloud-ready platform that supports containerized SAS workloads while ensuring enterprise-grade reliability and operational simplicity.

Key Solution Components:

•  Dell HCI Ready Nodes

  • Pre-validated, high-performance hyperconverged infrastructure

  • Optimized compute and storage integration

  • Simplified lifecycle management

  • Scalable architecture to accommodate growing analytics workloads

These ready nodes formed the robust physical foundation for the SAS Kubernetes environment.

• VMware Cloud Foundation (VCF) by Broadcom

  • Software-defined compute, storage, and networking

  • Centralized management and automation

  • Enhanced security and operational consistency

  • Streamlined deployment across private cloud environments

VCF enabled a unified and policy-driven infrastructure stack that ensured agility and enterprise governance.

•  vSphere with Kubernetes (vSphere Kubernetes Service)

  • Native Kubernetes integration within vSphere

  • Simplified container orchestration

  • Seamless management of both VMs and containers on a single platform

  • Enterprise-grade Kubernetes operations

This orchestration layer allowed the SAS application to run containerized workloads efficiently, aligning with OEM guidelines while simplifying IT operations.

Implementation Highlights: 

Indus Systems and Services executed the deployment through a structured and collaborative approach, ensuring alignment with both R&D objectives and OEM guidelines. The implementation was carefully planned to balance performance, scalability, and operational continuity. By adopting a phased methodology, the team ensured minimal disruption to ongoing research activities while delivering a high-performance, Kubernetes-enabled platform.

• Structured Requirement Discovery:

  Conducted detailed requirement-gathering sessions with R&D stakeholders and SAS experts to understand workload characteristics, performance expectations, and deployment constraints.

• OEM-Aligned Architecture Design:

  Designed the infrastructure architecture in accordance with SAS best practices and validated deployment models to ensure optimal compatibility and performance.

• Optimized Dell HCI Deployment:

  Implemented Dell HCI Ready Nodes with carefully tuned compute, storage, and memory configurations to support high-performance analytics workloads.

• VMware Cloud Foundation Implementation:

  Deployed the VMware Cloud Foundation stack with tightly integrated networking and storage layers, creating a unified and scalable software-defined environment.

• Kubernetes Enablement and Configuration:

  Enabled and configured vSphere Kubernetes Service to support containerized SAS applications, ensuring efficient orchestration and workload management.

• Pre-Go-Live Validation and Testing:

  Performed comprehensive validation, performance benchmarking, and workload testing to ensure the platform met all performance, reliability, and operational requirements before go-live.

Business Impact: 

The deployed solution delivered tangible improvements across performance, agility, and scalability for the organization’s R&D operations. By modernizing the analytics infrastructure with a Kubernetes-enabled platform, Indus Systems and Services enabled a more efficient, flexible, and future-ready environment. The result is a streamlined platform that supports advanced research workloads while simplifying operations and reducing complexity.

• Container-Ready SAS Environment:

  Established a fully compliant, Kubernetes-supported platform for SAS applications, enabling seamless containerized deployment and orchestration of analytics workloads.

• Enhanced Performance for Analytics:

  Optimized compute, storage, and memory resources to support high-throughput data processing, ensuring faster insights and improved research efficiency.

• Improved Operational Agility:

  Enabled rapid provisioning of environments, allowing R&D teams to accelerate experimentation, testing, and deployment of new analytical models.

• Simplified Operations and Management:

  Unified management of virtual machines and containerized workloads within a single platform, reducing administrative overhead and improving operational efficiency.

• Scalable and Future-Ready Architecture:

  Designed a flexible infrastructure capable of scaling with growing data volumes and evolving R&D requirements, supporting long-term innovation initiatives.

• Reduced Infrastructure Complexity:

  Consolidated workloads onto a hyperconverged platform with centralized lifecycle management, simplifying maintenance and improving overall system reliability.

Conclusion: 

Through meticulous planning, collaboration, and technical expertise, Indus Systems and Services successfully modernized the customer’s IT landscape, ensuring a seamless transition to a future-ready infrastructure. The project exemplifies how Indus, together with Dell Technologies, delivers robust and reliable enterprise solutions that drive business performance and resilience.