Unitas Global architected and implemented a private cloud solution with OpenStack to support genomic and cancer research.
Unlocking innovations in genetics and cancer research requires significant compute resources to analyze the massive amounts of genomic data and genome sequences made available by the Human Genome Project. But traditional methods of procuring and assigning these computing resources cannot keep up with the high—and fluid—demands of scientific queries. To eliminate bottlenecks and enable researchers to conduct data analysis more quickly and efficiently, the customer needed to implement a high- performance computing (HPC) solution that also allowed seamless access to both internal and external data resources.
To support its HPC genomics and cancer research requirements, the customer decided to implement a private cloud platform using OpenStack. Architected to use existing hardware and software, the solution integrates several petabytes of genomic data stored in legacy systems into the customer’s private cloud while also enabling researchers to access important external data that can inform their research.
By moving from a traditional purchasing to a utility computing model, the customer can easily and quickly scale its computing resources, on demand, to support complicated scientific queries. Unitas also worked with the customer to implement a DevOps-style application lifecycle that can be used with private and public clouds to continuously update existing and rapidly release new applications used by the researchers.