Biotechnology / Pharmaceutical

Guardant Health’s HPC solution, a supercomputer with hundreds of nodes and dozens of petabytes of storage, analyzes biological samples from clinics and laboratories using artificial intelligence (AI) and machine learning (ML). These analytics services have stringent internal SLAs – since doctors and patients are waiting for time-sensitive oncology test results, it’s imperative that the HPC infrastructure never experiences an outage.

Since their bioinformatics pipeline needed a modern architecture and orchestration layer, the company chose containerization and Kubernetes as critical components of its tech stack. But the open-source Kubernetes management they implemented was difficult to maintain and frequently went down.

Many other biotech and pharmaceutical companies have similar challenges. They need reliable, low-maintenance Kubernetes operations that allow for fast application deployment and portability, but not at the cost of reliability and security. Finding the right skillset to do this can be difficult.

Rafay’s next-gen Kubernetes automation platform was designed to handle these challenges, so biotech and pharma companies can focus on saving lives instead.