A case study was published on March 7th by Amazon Web Services outlining a joint project between Unilever and Eagle Genomics. Unilever is a global company with more than 400 individual brands sold in 180 countries. Today, the company’s product line covers all facets of daily life, from food to cleaning to health and well-being.
The project saw Eagle migrate a core NGS analysis pipeline from Unilever's internal systems to the Amazon cloud as a proof-of-concept with the intention of demonstrating increased performance and scalability.
On the technical side, the proof-of-concept relies on large Amazon EC2 instances for processing, while Amazon RDS stores the computation results. Amazon S3 buckets maintain non-relational data as it migrates between various instances. As the program grows, Unilever and Eagle plan to add the Amazon Import/Export service to accelerate large data transfers.
The project was a success, with Unilever Research's Pete Keeley (eScience IT Lead for Cloud Solutions) saying “Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.”
Rather than repeat it all here, the case study can be read in full on AWS' own website: http://aws.amazon.com/solutions/case-studies/unilever/
More about the project can be heard in a forthcoming webinar where Eagle's Richard Holland and Will Spooner will be joined by Unilever's Pete Keeley and Dave Taylor - details to be announced.