Biotech Institute HudsonAlpha Discusses Simplifying Operations With HPE Synergy

APRIL 25, 2017 • BLOG POST

HPE Synergy solved this nonprofits data center challenges by addressing their unique computing needs

For organizations with non-traditional enterprise needs, building the right infrastructure can sometimes be difficult. Organizations like these require a new kind of infrastructure that expand and contract with the business, especially as workloads change and new needs arise. Enter the HudsonAlpha Institute for Biotechnology, a non-profit dedicated to innovating in the field of genomics that shifted their legacy infrastructure model into a software defined everything model. Hewlett Packard Enterprises HPE Synergy product is helping to address its unique computing needs and enable greater flexibility for IT staff to support the hundreds of researchers petabyte-scale scientific applications. HPE Synergy was announced in December of 2015 and is HPEs first Composable Infrastructure solution designed to run both traditional and cloud native applications for organizations seeking the benefits of running a hybrid infrastructure. With Synergy now in tow, the hearty research staff at HudsonAlpha churn through data and compose new workloads at much greater speeds than in their past datacenter solution setup.

We spoke with HudsonAlpha CIO Peyton McNully about his experience beta testing HPE Synergy, and how it transformed his teams computing requirements from the inside out.


Q: As an early stage beta userand now a Synergy customercan you describe your overall experience with the platform?

A: Previously, we were a HPE c7000 blades customer, but our computing requirements were changing and we needed a flexible platform for our researchers to convert huge volumes of data into useful information. Weve been able to build on our previous interactions with HPE OneView, an infrastructure management platform that pairs with Synergy, and certain aspects of composability that we now apply to networking as well as storage within the Synergy frame. Our containerized workflows and deployments of those workloads on Synergy is very similar (the same toolsets) to how we would provision public cloud.

Early benefits of Synergy, now over one year in, include, a downward trend of help desk tickets for server provisioning tasks, an IT OPS team that can better articulate needs to our end users, and faster deployments of software applications for research and clinical applications.

Our new approach allows users to declare resource templates, containerize apps with Docker and deploy those apps to a Synergy frame at either one of the data centers with little to no Ops intervention. Anytime we can empower users with better awareness and tighter tool integration to achieve business value with technology the whole organization wins.


Q: What specific business and technology outcomes did you recognize during your time as a Synergy beta tester?

A: Most noticeably, we improved efficiency with a standardized delivery mechanisms for new apps and computation workloads on cloud-based or local Synergy instances. All of this delivers new value in the research work being conducted at HudsonAlpha because more research is done, fewer issues are found out last second, and end users have tools and APIs to engage with versus email and helpdesk tickets or portals.

I will also add, as genomics workloads increased in scale (quantities and individual size per unit), there was a need to look at IT different. Our ability to efficiently add or subtract storage, compute, and fabric from some of our workloads became crucial from the outset. We moved to a model where we could better orchestrate resources based on the task at hand and not continually attempt to scale out and hold on for dear life.

Simply put, our organization streamlined the process of app creation to make the timing faster and end-result better than before.


Q: Did you set any goals or milestones around the launch of Synergy at HudsonAlpha?

A: Our real goal early on was to be better stewards of our computing resources. We were quite impressed with the ability to take any open source tool and use Synergy as a platform to better customize the environment to the workloadsnot the other way around.

An example of this was, using only Synergy, Image Streamer, and the latest release of OpenStack our team deployed an entire cluster in a matter of minutes, added resources, removed resources, and then proceeded to schedule jobs on these same nodes. We were very impressed how far this simple orchestration element could take us.

Regarding our computing stewardship goals, we can better leverage a pool of resources for both hyperscale and standard enterprise needs. At night, we can recover resources during off-peak hours and put it toward the large-scale genomics pipeline. To have a tool that makes it feasible to recover operations faster is new for us.

Ultimately, we were impressed with the ability to use an open source tool on the Synergy platform because our products and apps add to our business value.


Q: Why did you decide to run Docker Enterprise Edition on Synergy as opposed to another solution?

A: There were a few reasons why we selected Docker EE with Synergyspecifically for its robust security scanning and role-based permissions. We needed strong data security measures to ensure we were aligned with best practices for data sovereignty and maintaining HIPAA privacy laws. Genomic medicine workloads hold a significant amount of data and its critically important to me that we keep patients secure from cyber security threats.



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