New Relic has been granted a patent for high-throughput BPF map manipulations with uprobes. The method involves running a user program in a computing environment, triggering a kernel BPF probe, providing operation parameters to a BPF map agent, and manipulating the BPF map in the kernel space. GlobalData’s report on New Relic gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on New Relic, Hybrid cloud mgmt was a key innovation area identified from patents. New Relic's grant share as of April 2024 was 46%. Grant share is based on the ratio of number of grants to total number of patents.
High-throughput bpf map manipulations with uprobes
A recently granted patent (Publication Number: US11928529B2) discloses a method and system for manipulating a Berkeley Packet Filter (BPF) map. The method involves running a user program in the user space of a computing environment, including a trigger function corresponding to a kernel BPF probe. By triggering the kernel BPF probe, one or more operation parameters are provided to a BPF map agent in the kernel space, enabling the manipulation of a BPF map based on these parameters. The operations may include reading from or writing to locations within the BPF map, with options to clear locations or provide data values to a buffer accessible from the user space.
Furthermore, the system described in the patent includes at least one memory storing computer-executable instructions and a processor for executing these instructions. The system runs a user program in the user space, triggering the kernel BPF probe to provide operation parameters to the BPF map agent in the kernel space for manipulating the BPF map. The instructions also allow for interrupting and resuming the user program based on the completion of the map manipulation operations. Overall, the method and system outlined in the patent offer a structured approach to efficiently manipulate BPF maps within a computing environment, enhancing the functionality and control over these critical components.
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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.
