DescriptionThis talk is a story of bio-tech meeting DevOps to produce genomic computations, economically, and at scale.
Genomic computation is growing in demand as it comes to the mainstream practices of bio-technology, agriculture, and personal medicine. It also explodes the demand for compute resources. In fact, with inexpensive next-gen sequencing, some labs sequence over 1,000,000 billion bases per year. Genetic data banks are growing over 10x annually. How to compute the genomic data at massive scale, and do it in a cost-efficient way? In the presentation, we describe and demonstrate a serverless solution built with Docker, Docker Swarm, StackStorm and other tools from the DevOps toolchain on AWS. The solution offers a new take on creating and computing a bio-informatic pipelines that can run at high scale and at optimal cost.