Sage Bionetworks leverages Amazon SWF in its computation platform for processing molecular and clinical datasets. “With Amazon SWF managing the state of several data analytics pipelines, the concerns of workflow execution and the coordination of the distributed systems performing the work of the pipeline, are technical issues we just don’t need to worry about,” said Dr. Michael Kellen, Director of Technology and Software Development at Sage Bionetworks. Adds Brig Mecham, Post-doctoral researcher and one of the scientists using Amazon SWF, “Amazon SWF has enabled us to build a system that gets done in days what used to take months. Of all the benefits we’ve obtained, the most important is that the service allows us to start using these data for their true purpose – identifying cures for human diseases.”According to Thorsten von Eicken, CTO of RightScale, “Using Amazon SWF, we are able to reduce the time to market for our higher level infrastructure automation features. We are able to focus on our value-add without having to worry about the challenges that are associated with implementing a distributed workflow engine. In the end we are able to ship new features faster and don't have to concern ourselves with maintaining that engine.”
Amazon Web Services Launches Amazon Simple Workflow Service
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