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1.
公开(公告)号:US11956137B1
公开(公告)日:2024-04-09
申请号:US17833519
申请日:2022-06-06
Applicant: Splunk Inc.
Inventor: Ozan Turgut , Joseph Ari Ross , Eyal Ophir , Calvin Chan
IPC: H04L43/00 , G06F11/30 , G06F11/34 , G06F11/36 , H04L41/0686 , H04L43/0817 , H04L43/0876 , H04L43/16
CPC classification number: H04L43/14 , G06F11/3006 , G06F11/302 , G06F11/3404 , G06F11/3409 , G06F11/3612 , G06F11/3644 , H04L41/0686 , H04L43/0817 , H04L43/16 , G06F11/3452 , G06F2201/81 , H04L43/0876
Abstract: An instrumentation analysis system processes data streams received from servers executing instrumented software. The system determines a set of servers that satisfy a given criteria, for example, a set of servers with high resource utilization. The set of servers may be determined by the system based on triggers or specified by a user. The system analyzes properties of servers to determine a property that characterizes the set of servers. The property characterizing the servers is provided to users via a user interface or alerts for further analysis, for example, to analyze the cause of high resource utilization.
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公开(公告)号:US11853330B1
公开(公告)日:2023-12-26
申请号:US16863657
申请日:2020-04-30
Applicant: Splunk Inc.
Inventor: Ann Bannon , Calvin Chan , Nikhil Kasthurirangan , Park Kittipatkul , Kunal Mamidpalliwar , Alexandra Nuttbrown , Eyal Ophir , Caitlin Jessica Yolanda Pinn , Rebecca Tortell , Harsh Vashistha , Janet W. Yu
IPC: G06F16/28 , G06F3/0484 , G06F3/0482
CPC classification number: G06F16/287 , G06F3/0482 , G06F3/0484
Abstract: According to embodiments, a method for navigating clusters of a data structure includes gathering data from the data structure by instrumenting instances of application software executing on the data structure. The method also includes identifying clusters of the data structure based on the gathered data. The method also includes causing display of a cluster map of the data structure, the cluster map comprising a plurality of clusters, each cluster of the plurality of clusters comprising a plurality of nodes, each node of the plurality of nodes comprising a plurality of pods, each pod of the plurality of pods comprising a plurality of containers. The method also includes providing a status for each node, each pod, and each container of each cluster. The method also includes causing display of analysis of each cluster of the cluster map, the analysis comprising granular information for each cluster.
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3.
公开(公告)号:US11381492B1
公开(公告)日:2022-07-05
申请号:US16990923
申请日:2020-08-11
Applicant: Splunk Inc.
Inventor: Ozan Turgut , Joseph Ari Ross , Eyal Ophir , Calvin Chan
IPC: H04L43/00 , G06F11/30 , H04L43/16 , G06F11/34 , G06F11/36 , H04L43/0817 , H04L41/0686 , H04L43/0876
Abstract: An instrumentation analysis system processes data streams received from servers executing instrumented software. The system determines a set of servers that satisfy a given criteria, for example, a set of servers with high resource utilization. The set of servers may be determined by the system based on triggers or specified by a user. The system analyzes properties of servers to determine a property that characterizes the set of servers. The property characterizing the servers is provided to users via a user interface or alerts for further analysis, for example, to analyze the cause of high resource utilization.
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4.
公开(公告)号:US10749782B2
公开(公告)日:2020-08-18
申请号:US15699451
申请日:2017-09-08
Applicant: Splunk Inc.
Inventor: Ozan Turgut , Joe Ross , Eyal Ophir , Calvin Chan
Abstract: An instrumentation analysis system processes data streams received from servers executing instrumented software. The system determines a set of servers that satisfy a given criteria, for example, a set of servers with high resource utilization. The set of servers may be determined by the system based on triggers or specified by a user. The system analyzes properties of servers to determine a property that characterizes the set of servers. The property characterizing the servers is provided to users via a user interface or alerts for further analysis, for example, to analyze the cause of high resource utilization.
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