Medical - Healthcare Data on Kubernetes // Olyvia Rakshit & Prasad Dorbala (DoK Day North America 2022)

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)

ABSTRACT

Healthcare organizations are transforming their applications and embracing digital platforms for efficient patient care. Today, compute at the edge, plays a critical role in deploying innovative healthcare applications that promise new approaches to patient care. Connected care platforms at scale are turning to Kubernetes infrastructure for deployment of telehealth and telemedicine apps. These kinds of applications often need real time image processing and inferencing at the edge, which in turn, require a distributed application platform on Kubernetes. They also need secure foundations for a regulatory compliant framework for wider adoption.

To elaborate further, a distributed platform or a multi-cluster infrastructure is necessary for healthcare applications. All medical application platforms are data intense. For eg. Medical applications that need to stream video data, i.e move large quantities of data need secure connections from edge to cloud. Smart healthcare applications are also seeing the value of multi-cloud deployments.

The ability to choose different technologies like AI, data storage systems or some specific relational database systems is driving multi-cloud adoption in healthcare solutions. A multi-cluster connectivity fabric is thus needed for data intensive healthcare applications to distribute across geographical boundaries. The fabric needs to have inbuilt automation and the smarts to make the best use of compute resources in a distributed infrastructure, for improved patient healthcare.