Founded in 2015, Nonacus provides high-quality, non-invasive genetic testing for oncology and pre-natal healthcare, placing the end-user at the forefront of innovation.
Challenge
Nonacus faced cloud scaling limitations with Microsoft Azure’s batch technology, impacting genome sequencing performance. Processing large volumes of complex genomic data demanded scalability, efficiency, and precise results. Their existing infrastructure struggled to keep pace with growing computational needs, creating inefficiencies and higher costs.
They needed a smooth migration to a more scalable, cost-effective cloud architecture without disrupting their critical scientific workflows.
Solution
Firemind migrated Nonacus’ genomic data pipelines to AWS, creating a secure, scalable, and cost-efficient infrastructure. Amazon S3 with intelligent tiering optimised storage costs while maintaining quick data access. Secure IAM roles, encryption policies, and integration with Nextflow Tower SaaS ensured compliance and smooth workflow continuity.
The solution leveraged AWS Batch for large-scale job execution, ECS with Fargate for container orchestration, and Graviton3 processors for up to 25% improved performance. GitHub Actions automated the build and deployment of custom Docker images to Amazon ECR, enabling seamless workload migration with zero loss of function. The entire migration was completed in just 25 days.
Services used
- AWS IAM
- Amazon ECR
- Amazon S3
- AWS ECS
The Results
- 25-day migration completed successfully
- Optimised compute resources for faster processing
- Maximised cost efficiency
- Fully scalable architecture for future growth
