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Scalable Cloud Infrastructure and Automated CI/CD Pipeline for Clinical Research Platform

nix-united.com

Medical

Information technology

Business services

Business Challenges and Technical Limitations

The client faced scalability constraints, manual infrastructure management, and regulatory compliance risks due to legacy systems. Inefficient deployment processes caused downtime, while lack of clustering and load balancing threatened platform reliability and patient data integrity during clinical trials.

About the Client

A leading provider of cloud-based software solutions for clinical trials, offering an all-in-one platform for study startup, pipeline management, and business intelligence.

Strategic Modernization Goals

Implement scalable cluster architecture across multiple availability zones
Establish automated CI/CD pipelines for rapid deployments
Enhance platform reliability and regulatory compliance
Reduce total cost of ownership through optimized cloud resources
Enable automatic horizontal scaling for peak load handling

Core System Capabilities

Multi-zone cluster architecture with load balancing
Centralized EFS storage for application data
Secure secrets management via AWS Secrets Manager
In-memory caching with Amazon ElastiCache
Automated CI/CD pipeline using GitHub Actions and Terraform

Technology Stack

AWS

Terraform

GitHub Actions

Python

Amazon EFS

Critical System Integrations

AWS VPC with multi-subnet architecture
RDS for MySQL with read replicas
ECS Cluster on Fargate
API Gateway for service communication
IAM roles for access control

Operational Requirements

High availability across multiple availability zones
Auto-scaling to handle variable workloads
HIPAA-compliant security controls
99.99% system uptime SLA
Infrastructure as Code (IaC) governance

Expected Business Outcomes

Anticipated 30-40% database cost reduction through Graviton instances, 3-4x increased load capacity, and 20-25% overall TCO reduction. Automated CI/CD will accelerate deployment times by 70% while enhancing platform reliability for critical clinical trial operations.