enGenome is an innovative start-up located in Northern Italy and an accredited spin-off of the University of Pavia. It provides software for the analysis and the interpretation of the DNA sequencing data in clinical and research settings in order to provide accurate omics-based reports and to improve medical diagnosis and treatment. enGenome engaged beSharp as an AWS Advanced Consulting partner to give birth to eVai, a new, efficient, and scalable platform for the bioinformatics and genomic analysis of data.
Advanced auto scaling rules made it possible to launch and configure Spot EC2 instances fleets to support any workload, significantly improving genomics analysis processing speed.
Thanks to the switch from a monolithic, stateful architecture to a stateless infrastructure based on on-demand and spot EC2 instances, a managed RDS database, and S3 for scalable data storage, eVai could benefit from great performance improvement, doubling jobs completed per day.
enGenome took advantage of Amazon S3 durability, availability and redundancy. Moreover it also heavily leveraged Amazon S3 features like Lifecycle Hook to move older data to a different class of storage (Amazon Glacier) and File Versioning to keep track of all the data changes. An automatic backup and DR system was also implemented in order to save data in different AWS regions, too.
beSharp has worked with enGenome to develop a custom, highly scalable and highly available platform for the analysis of large amounts of bioinformatics and genomic data in line with DevOps best practices and in full compliance with the AWS Well-Architected Framework. beSharp’s Cloud Experts supported the enGenome DevOps team through a training-on-the-job approach to help technicians to develop skills within the company and to provide them with all the tools they need to act in total autonomy, taking full advantage of the new solution.