Rubrik had five patents in big data during Q2 2024. Rubrik Inc’s patents filed in Q2 2024 focus on data storage infrastructure for replicating virtual machines across geographically separated data centers to minimize downtime and data loss during failover events. The system captures and replicates snapshots of virtual machines from source to target computing environments, allowing for quick replication and reduced downtime. GlobalData’s report on Rubrik gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Rubrik had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Virtual machine failover management for geo-redundant data centers (Patent ID: US20240160538A1)
The patent filed by Rubrik Inc. describes a method and apparatus for managing data storage infrastructure across geographically separated data centers. The system involves establishing a partition, replicating snapshots of virtual machines, linking instances of virtual machines across data management platforms, and capturing incremental snapshots post-failover events. The method includes determining virtual machine names and identifiers, running refresh procedures, identifying most recent snapshots, and logging audit events. The apparatus consists of processors executing code to perform these functions, ensuring seamless failover and migration processes between data centers.
Overall, the patent focuses on efficiently managing virtual data storage infrastructure across multiple data centers by replicating and linking virtual machine snapshots. By establishing partitions and executing specific procedures post-failover events, the system ensures data continuity and seamless migration between hosts. The method and apparatus described in the patent aim to enhance data management capabilities, particularly in scenarios involving failover events and migration processes, ultimately improving the reliability and efficiency of data storage infrastructure across geographically separated locations.
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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.
