Network problem node identification using traceroute aggregation

    公开(公告)号:US10855740B1

    公开(公告)日:2020-12-01

    申请号:US16506798

    申请日:2019-07-09

    Abstract: Computer-aided identification of a potential problem node in a network. As part of data collection, a computing system gathers telemetric and trace route data for communications that occur within a network. Upon detecting that a performance problem has occurred within the network, multiple communications that occurred around the time of the performance problem are identified. Then, the trace route data for these multiple communications are aggregated. The aggregated data may then be used to identify a potential problem network node within the network. The identity of the potential problem network node (and potentially observed telemetry for that network node) may then be communicated to an entity that is affected by the performance problem. This may allow the entity to understand which network node is causing the problem and thus take appropriate remedial measures.

    SERVICE ISSUE PRIORITISATION BASED ON IMPACT USING SOFTWARE TELEMETRY

    公开(公告)号:US20220116263A1

    公开(公告)日:2022-04-14

    申请号:US17508047

    申请日:2021-10-22

    Abstract: A system is provided herein that can correlate service issues with system telemetry associated with the software session associated with those service issues. Using a statistical approach, the system can evaluate data across numerous software sessions to rank the importance of the reported service issues. To accomplish the ranking, the system can parse the reports of service issues on a periodic basis, can extract telemetry identifiers (IDs) from the logs, can query the telemetry, may compute the relative importance of detected issues (in the context of calls going on for that day), and then can report this impact hack to the service issue database.

    Service issue prioritisation based on impact using software telemetry

    公开(公告)号:US11632286B2

    公开(公告)日:2023-04-18

    申请号:US17508047

    申请日:2021-10-22

    Abstract: A system is provided herein that can correlate service issues with system telemetry associated with the software session associated with those service issues. Using a statistical approach, the system can evaluate data across numerous software sessions to rank the importance of the reported service issues. To accomplish the ranking, the system can parse the reports of service issues on a periodic basis, can extract telemetry identifiers (IDs) from the logs, can query the telemetry, may compute the relative importance of detected issues (in the context of calls going on for that day), and then can report this impact hack to the service issue database.

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