Re-Store: Helping Life Sciences Successfully Execute their HPC Strategy

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Michael Sedlmayer, President and Chief Architect The life sciences sector, like other industry verticals such as oil and gas, M&E, and automotive industries, leverages the computational power of HPC to support their workflows in areas of research, laboratory services, and pharma. The explosion in genomic and -omics information, coupled with the emergence of the clinical application of precision medicine, are placing more complex demands on the high-performance storage infrastructure than ever before. While HPC isn’t new to life sciences, it is not as mature as it is in the more traditional HPC industries like oil and gas, automotive, and M&E. There is both a lack of standardization and a lack of readily available people with enough domain expertise to help organizations with their HPC strategy. Furthermore, building an optimal HPC system that is specifically designed to meet the unique business and technical requirements of each organization requires experienced solution architects that are rarely found in the commercial sector. Alongside, having an overarching long-term strategy that can scale to meet both current and future needs is becoming paramount, particularly with respect to cost, performance, and availability.

However, the implementation and utilization of HPC isn’t ’a walk in the park.’ For starters, not many possess the knowledge and expertise to apply HPC to drive new developments in bioinformatics and computational systems biology. Besides, the legacy storage systems available in the current marketplace aren’t fast, scalable, or adaptable enough to meet the challenging requirements of modern life sciences applications.

While life sciences organizations look for a reliable partner to address these challenges, CA-based Re- Store emerges as a global leader in offering enterprise-level HPC services and solutions. With Re- Store’s robust offerings, life sciences organizations can harness the power of deep insights to make informed decisions. John Aiken, director of sales and business development at Re-Store, says, “We are bringing years of supercomputing expertise into life sciences as a KaaS— knowledge-as-a-service—to help commercial life science companies successfully design, build, and operate their HPC-centric infrastructures.”

Changing the Face of Life Sciences

At the core of Re-Store is a proprietary tool, AutonomousHPC, which leverages advanced analytics to help businesses optimize their high-performance cluster and enable life sciences organizations to track trends and forecast problems so that they can be proactive about capacity and workload management. Within the life sciences and pharma industries, one of the most critical requirements is turnaround time. A diagnostic lab’s effectiveness is measured by how quickly they can get a patient’s case processed and the results returned to the doctor and the patient. Building an optimal approach that gets the highest utilization and fastest results requires the input from an architectural resource that has insight into both the tools and the workloads to understand the resources required to best support cost and performance targets.But the existing tools and solutions in the marketplace are not competent enough to address this issue.


We are bringing supercomputing expertise into life sciences to help commercial companies achieve success in their quest to solve their business objectives


By combining the insight of the HPC expert with the power of the modern data warehouse, analytics, and machine-learning system, AutonomousHPC provides powerful tools to automate administrative work and thus reduce the turnaround time.

More importantly, Re-Store takes pride in being IBM’s only partner that is exclusively focused on HPC and analytics. “We don’t have any competitors,” remarks Michael Sedlmayer, president and chief architect at Re-Store. “Our solution is designed to overcome the limitations documented by IBM’s research team; it takes into consideration the deep calculation and statistical analysis, historical data, entire system configuration, and status views.” AutonomousHPC can record, analyze, and understand over a thousand metrics per node per second. A small cluster can easily generate over a billion data points per day. This is beyond any human administrator’s ability to remember, understand, and take the necessary action in real time.

“So, to answer the question of ‘how do we fit into life sciences and pharma?’ we can seamlessly cater to the demands of digital pathology, genome sequencing, and computational biology by leveraging tools like AutonomousHPC, which provide deep insights around how well the underlying infrastructure supports the organization pipelines and workflows running on it,” mentions Aiken. “AutonomousHPC gives us a precise look at each customer’s unique topology of compute, networking, and storage and where the opportunity exists to drive optimization.” That is precisely what Re-Store brings to the table with AutonomousHPC. The company offers the necessary solution architecture, system integration, optimization, monitoring, and support to help clients achieve successful outcomes.

Faster Time-to-Insights

Re-Store’s AutonomousHPC helps life sciences companies understand the bottlenecks in their systems, prioritize system upgrades efficiently, optimize system configurations, and alert failures and critical changes to the function of their systems, among other things. “With the help of our solution, customers can also find answers to questions such as: ‘How can we improve the performance of our pipeline? How do we craft a more reliable pipeline or forecast the requirements for the next pipeline? How do we translate scientific problems into computational problems?’ and so on,” explains Sedlmayer.

Another unique aspect of AutonomousHPC is it can efficiently collect billions of data points of health, performance, capacity, system events, and configuration and leverage that data for identifying trends, root-cause analysis, time-series analytics, predictive analytics, and more. In contrast to supercomputers, typically built from the same commodity components, each cluster is made of a unique blend of manufacturers, technologies, proportions, workloads, and applications.
As a result, one vendor cannot support the entire system, leaving it to the engineering staff. AutonomousHPC, on the other hand, learns how the system functions and detects subtle trends and substantial changes, ensuring that the human administrative team is operating with the best understanding of the system.

Besides playing the role of solution architects, Re-Store designs optimal systems ‘purpose-built’ for each customer. “To put it simply, what we do is work with genetic scientists to create resources that allow them to gain deeper inferences from the data that they have. The result of what we do gives our customers the potential to change people’s lives,” adds Sedlmayer.

A testament to Re-Store’s capabilities is its client success story with a pharmaceutical client, who, prior to partnering with Re-Store, experienced a turnaround time of 15 days for an oncology assay. In the last nine months, via their HPC solutions and services, Re-Store has helped them cut short the turnaround time to five days. Such accomplishments are what propel Re-Store forward. Today, leading life sciences companies such as Merck and AstraZeneca are a part of Re-Store’s clientele.

Driving Performance and Innovation

Re-Store takes things a notch higher by offering businesses ongoing support and aftercare integration services that help ensure continuous, proactive, reactive, and integrated customer assistance. Through these services, the firm closes the support gaps and business gaps inherent in today’s sophisticated multi-vendor installations and defines policies, procedures, expectations, configurations, and planning tools needed to address the diagnostic, interoperability, and solution gaps between each silo. “Our aftercare is designed to ensure we shoulder and share the customer’s problem. We take a contextual approach and are devoted to the customer 100 percent. Unlike others in the industry, we don’t take a point-of-presence approach where somebody detects a problem, calls us, and we get the next man up. We are involved with the customer on a daily basis and are credible at what we do,” says Sedlmayer. What’s more? Re- Store works as an external resource but a part of the customer’s team.

"AutonomousHPC can record, analyze, and understand over a thousand metrics per node per second to allow us to drive optimization into existing HPC systems"

What further drives Re-Store ahead in the marketplace is its boutique team of computing, storage, software, and network specialists. “Our senior team-based approach focuses on the most rigorous customer requirements, including subject matter expertise in energy, biotech, and supercomputing. We ensure the alignment of the entire package of tools, software, services, and contextual post-sales support with the customer’s business requirement,” informs Sedlmayer. Furthermore, Re- Store has its own internal engineering review team that scrutinizes every idea and decision proposed to the customer to ensure maximum value is delivered. Re-Store’s two-decade heritage in storage, archive, and data protection is the foundation that provides the springboard to massive, data-intensive workflows and the need to build the expertise to approach HPC as a computational problem. “No doubt, companies can continue to experience long-term success with our solutions by gaining access to our experienced engineers,” wraps up Sedlmayer.

Company
Re-Store

Headquarters
San Marcos, CA

Management
Michael Sedlmayer, President and Chief Architect

Description
CA-based Re-Store emerges as a global leader in offering enterprise-level HPC services and solutions. With Re-Store’s robust offerings, life sciences organizations can harness the power of deep insights to make informed decisions. At the core of Re-Store is a proprietary tool, AutonomousHPC, which leverages advanced analytics to help businesses optimize their high-performance cluster and enable life sciences organizations to track trends and forecast problems so that they can be proactive about capacity and workload management. Re-Store’s AutonomousHPC helps life sciences companies understand the bottlenecks in their systems, prioritize system upgrades efficiently, optimize system configurations, and alert failures and critical changes to the function of their systems, among other things.

Re-Store