Netapp’s Shankar Pasupathy on How to Build a Predictive Maintenance and Actionable Intelligence Solution at Scale

The Sr. Director of Active IQ AI and Data Engineering explains how NetApp migrated from Hadoop to a microservices, Kubernetes, serverless environment, and built a solution for predictive maintenance and actionable intelligence that responds in real time to 10 trillion data points collected from storage controllers globally per month.

In this session you will learn:

• How NetApp built a solution for predictive maintenance and actionable intelligence that responds in real time to 10 trillion data points per month collected from storage controllers globally, on-premises and on AWS cloud.
• How to build AI solutions that leverage time series at scale for a fraction of the cost
• The process involved in migrating from Hadoop to a microservices, Kubernetes, serverless environment, and adopting an agile development approach
• How to decide whether to run your AI applications on premises, on the cloud or hybrid, and how to create the right balance for optimal cost and performance