Case Study

CooperSurgical: DevOps Transformation for Cordblood Enrollment Platform

INDUSTRY

Life Sciences

Project Type

DevOps

BaSIS Services

DevOps

Technology Leveraged

Amazon ECS, Amazon ECR, Application Load Balancer, Amazon Cloudfront, Amazon API Gateway, AWS Lambda, AWS VPC, AWS WAF, AWS IAM, AWS Secret Manager, Cloudwatch, Amazon SNS

CooperSurgical: DevOps Transformation for Cordblood Enrollment Platform

Problem / NEED

Cordblood Registry (CBR) by CooperSurgical offers an online enrollment platform for cryogenic services that experiences high traffic surges during critical enrollment periods. However, the company’s legacy infrastructure struggled to keep pace with business demands.

Updates were risky due to tightly coupled components. Deployments required lengthy maintenance windows, and the system couldn’t scale effectively during peak seasons. The platform also needed to integrate with external services like Mulesoft and Salesforce while meeting strict security standards for handling sensitive healthcare data.

CBR needed a modern foundation that could allow the team to deliver features faster, scale automatically under load, and maintain high availability without the burden of manual infrastructure management.

Solution

Basis partnered with CBR to implement a complete cloud-native transformation on AWS, centered on Infrastructure-as-Code principles.

The team built the entire infrastructure using Terraform, organizing it into eight reusable modules covering ECS services, load balancers, CloudFront, API Gateway, WAF security, Secrets Manager, and security groups. This modular approach made the platform easier to maintain, expand, and reproduce across environments.

Four isolated environments—sandbox, QA, stage, and production—were also built to support safe testing and predictable releases, with production running in its own dedicated AWS account. GitHub Actions now powers the entire CI/CD pipeline, while Amazon S3 and DynamoDB manage Terraform remote state with locking to prevent deployment conflicts.

The containerized workloads run on Amazon ECS Fargate, eliminating server management overhead and enabling automatic scaling. Spot and On-Demand instances are also used to optimize cost-savings and ensure efficiency and availability during traffic surges.

RESULTS

The transformation dramatically improved CBR’s operational efficiency. Deployments that once required multi-hour maintenance windows now complete in under five minutes with zero downtime, allowing the team to release updates multiple times per week.

Infrastructure provisioning was reduced from days of manual effort to minutes using Terraform. The consistent, multi-environment setup eliminated configuration drift, ensuring applications behave the same way from development through production.

Platform reliability also improved significantly. Health checks run every 45 seconds, unhealthy containers are replaced automatically, and auto-scaling policies respond in real time to CPU and memory demand, allowing the system to absorb enrollment surges without disruption.The Spot-first Fargate strategy further reduced compute costs while maintaining availability through automatic fallback to On-Demand capacity.

Other Key Outcomes

CBR now benefits from high availability through Multi-AZ deployments, with ECS tasks distributed across availability zones and continuous health monitoring at the load balancer. Web traffic is actively protected against common threats, and real-time alerts notify the team of unusual patterns or performance issues.

Operational visibility improved through centralized logging, container-level metrics, and detailed security event logs. The modular Terraform architecture now allows new environments to be spun up quickly and the entire platform to be recreated from code, simplifying both scaling and disaster recovery.