NetApp Leverages Iguazio for AI-Driven Predictive Maintenance
Customer Company Size
Large Corporate
Country
- United States
Product
- NetApp Active IQ
- Iguazio Data Science Platform
- NetApp Cloud Volumes
- NetApp All-Flash Storage
Tech Stack
- AI
- Machine Learning
- Kubernetes
- Hadoop
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Telecommunications
- Electronics
Applicable Functions
- Discrete Manufacturing
- Maintenance
Use Cases
- Machine Condition Monitoring
- Predictive Maintenance
- Edge Computing & Edge Intelligence
Services
- Data Science Services
- System Integration
About The Customer
NetApp is a leading provider of hybrid cloud data services. Its solutions secure and simplify hybrid multi-cloud deployment for enterprises across the globe, enabling them to leverage their data, core business applications, and service infrastructures to accelerate digital transformation. NetApp is one of the first storage management vendors to offer its products and data services across the world’s largest cloud providers, helping enterprises to digitally transform and accelerate their core business apps with simplicity, speed, and automation across edge, core, and cloud. Active IQ was developed to help deliver actionable intelligence that facilitates optimal data management and predictive maintenance across NetApp’s environment. It provides enterprises with simple and secure visibility into the health of their NetApp systems.
The Challenge
NetApp, a leading provider of hybrid cloud data services, needed to enhance its Active IQ solution to incorporate an AI-driven digital advisor. The goal was to use AI to gain intelligent insights into its customers’ storage controllers and deliver prescriptive guidance, as well as automate “best actions” to achieve predictive maintenance on said devices. The company was dealing with the challenge of analyzing 10 trillion data points per month from storage sensors worldwide. The existing infrastructure of Active IQ, built on Hadoop, was unable to cost-effectively enable real-time predictive AI, run large-scale analytics, or deploy new AI services at scale. The traditional data warehouse and Hadoop-based data lake were unable to efficiently process the trillions of data points collected from storage controllers at the speed required to derive actionable intelligence needed for real-time predictive maintenance.
The Solution
NetApp partnered with Iguazio to replace its traditional data warehouse and Hadoop-based data lake with a cloud-native, Kubernetes-powered, serverless data science platform. This enabled NetApp to upgrade Active IQ’s service infrastructure and build highly accessible end-to-end ML pipelines through native integration with Iguazio’s Data Science Platform. As a result, NetApp transformed Active IQ into a digital advisor that could cost-efficiently run large-scale analytics and leverage AI at scale to gain intelligent insights into NetApp assets around the globe and proactively protect and optimize customers’ infrastructures through real-time predictive maintenance. Iguazio’s platform facilitated seamless collaboration between NetApp’s developers by streamlining the integration of traditional data analytics tools into the AI pipeline and simultaneously providing access to several big data and AI microservices.
Operational Impact
Quantitative Benefit
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