Case Study: NetApp achieves real-time predictive maintenance and 50% reduction in operating costs with Iguazio's Data Science Platform

NetApp Deploys Real-Time Predictive Maintenance & Advanced Analytics

NetApp, a leading provider of hybrid cloud data services, built Active IQ to deliver actionable intelligence and predictive maintenance for its customers’ storage controllers. Facing trillions of telemetry records and a Hadoop-based stack that could not support real-time AI or simplified MLOps, NetApp turned to Iguazio’s cloud-native, Kubernetes-powered, serverless Data Science Platform to modernize Active IQ and enable AI-driven digital advisory at scale.

Iguazio implemented a serverless data science platform and real-time DB to ingest ~10 trillion data points per month, automate end-to-end ML pipelines, and allow seamless on-prem or multi-cloud deployment with NetApp Cloud Volumes. The Iguazio-powered Active IQ sped AI service development 6–12x, reduced code by 90%, cut operating costs roughly 50% (with up to 80% lower costs cited), achieved 16x storage reduction, and delivered real-time predictive maintenance and actionable intelligence globally.

NetApp

Biren Fondekar

Chief Transformation Officer