NetApp. has filed a patent for automated remediation of data management storage system issues. The system uses telemetry data from deployed assets to perform predictive analytics and community wisdom to proactively detect and address risks. The patent claims a machine-readable medium to determine risks, identify remediation, and execute actions based on community wisdom. GlobalData’s report on NetApp gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on NetApp, Decentralized data stores was a key innovation area identified from patents. NetApp's grant share as of January 2024 was 74%. Grant share is based on the ratio of number of grants to total number of patents.

Automated remediation of issues in data storage systems

Source: United States Patent and Trademark Office (USPTO). Credit: NetApp Inc

The patent application (Publication Number: US20240036965A1) describes a system and method for managing risks in a data storage system. The invention involves a non-transitory machine-readable medium storing instructions that, when executed, enable the system to determine risks by evaluating conditions based on a set of rules derived from community wisdom. The system can identify remediation actions to address the risks and execute them accordingly. Additionally, the system can receive updates to the rule set and remediation set out-of-cycle with the software release schedule, ensuring timely risk management.

Furthermore, the system can determine risks related to misconfigurations, environmental issues, security concerns, performance, compliance, or capacity problems within the data storage system. It can also automatically perform remediation actions based on configured preferences or historical interactions with administrative users, streamlining the risk management process. The system's ability to receive updates based on telemetry data from similar systems used by a community of users enhances its effectiveness in addressing evolving risks. Overall, the patent application outlines a comprehensive approach to risk management in data storage systems, leveraging community insights and automated remediation processes to ensure system integrity and security.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.