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
- 40% faster deployment cycles with CI/CD automation
- 30% scalability improvement using containerized workloads
- 25% reduction in infrastructure costs with cloud optimization
Key Details
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Industry: Healthcare / Genetic Diagnostics
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Geography: United States
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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.
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Limited DevOps Expertise: Lack of skilled personnel slowed infrastructure automation and deployment processes.
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Migration & Documentation Gaps: Incomplete system documentation created risks around cloud migration, data integrity, and system reliability.
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Low AWS Tooling Maturity: Limited experience with AWS DevOps services led to inefficiencies in CI/CD implementation.
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Complex Migration Planning: Required a phased, low-risk migration approach to avoid downtime in critical diagnostic systems.
Our Solution Approach
We implemented a cloud-native DevOps transformation strategy focused on scalability, automation, and secure data management.
Assess DevOps Gaps & Migration Risks
We analyzed existing infrastructure, workflows, and documentation gaps to define a structured migration roadmap.
Design Scalable Cloud Architecture
We built a containerized architecture using Amazon EKS and centralized data systems with RDS and Secrets Manager.
Implement CI/CD & Infrastructure Workflows
We enabled automated build, test, and deployment pipelines using AWS-native DevOps services for faster releases.
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.
Automated CI/CD pipelines reduced release time and improved delivery consistency.
Containerized workloads allowed dynamic scaling to handle fluctuating diagnostic workloads.
Optimized cloud usage and pay-as-you-go pricing improved cost efficiency.
- Improved system reliability and reduced downtime during migration
- Enhanced data security with managed secrets and controlled accessFaster time-to-market for new diagnostic featuresStandardized deployment processes reducing operational risk