Case study • Healthcare • Cloud & DevOps Modernization
40% Faster Deployments for Genetic Testing Platform with Cloud & DevOps Transformation
We partnered with a globally accredited genetic testing laboratory to modernize their infrastructure and DevOps capabilities. By implementing a scalable AWS-based architecture, streamlining CI/CD pipelines, and enabling secure data management, we improved deployment velocity, scalability, and cost efficiency—while ensuring precision and reliability in diagnostic workflows.
Success Highlights
Key Details
Industry: Healthcare / Genetic Diagnostics Geography: United States
Platform: Amazon Web Services (AWS), Amazon EKS, Amazon RDS, AWS CloudFront
Business Challenge
The client faced critical gaps in DevOps maturity, cloud adoption, and migration readiness—impacting scalability, efficiency, and time-to-market.
Our Solution Approach
We implemented a cloud-native DevOps transformation strategy focused on scalability, automation, and secure data management.
1 · Discover
Assess DevOps Gaps & Migration Risks
We analyzed existing infrastructure, workflows, and documentation gaps to define a structured migration roadmap.
2 · Consolidate
Design Scalable Cloud Architecture
We built a containerized architecture using Amazon EKS and centralized data systems with RDS and Secrets Manager.
3 · Automate
Implement CI/CD & Infrastructure Workflows
We enabled automated build, test, and deployment pipelines using AWS-native DevOps services for faster releases.
4 · Accelerate
Optimize Delivery & Content Distribution
We improved application performance and global accessibility using CDN-based content delivery and optimized cloud resources.
Technical Highlights
Containerized workloads on Amazon EKS for scalable and resilient application deployment
Managed relational databases using Amazon RDS with secure credential storage via AWS Secrets Manager
CI/CD automation using AWS CodeCommit, CodeBuild, and CodePipeline for continuous delivery
Content delivery optimization using AWS CloudFront CDN for low-latency global access
Infrastructure provisioning and configuration standardization for repeatable deployments
// Psuedocode: CI/CD Deployment Trigger Logic
def deploy_application(commit):
if run_tests(commit) == “pass”:
build_container(commit)
deploy_to_eks(cluster)
else:
notify_team(“Build Failed”)
Business Outcomes
Enabled a scalable, secure, and automation-driven cloud platform that improved deployment speed, cost efficiency, and operational reliability.
40%
Faster Deployment Cycles:
Automated CI/CD pipelines reduced release time and improved delivery consistency.
30%
Increase in Platform Scalability:
Containerized workloads allowed dynamic scaling to handle fluctuating diagnostic workloads.
25%
Reduction in Infrastructure Costs:
Optimized cloud usage and pay-as-you-go pricing improved cost efficiency.
Enhanced data security with managed secrets and controlled access
Faster time-to-market for new diagnostic features
Standardized deployment processes reducing operational risk
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