公开(公告)号：US11641310B1

公开(公告)日：2023-05-02

申请号：US17515104

申请日：2021-10-29

Applicant: SPLUNK Inc.

Inventor： Ankur Ashok Kath ,  Ayyappa Muthusami ,  Jeffrey Wen-Young Shih ,  Ian Edward Torbett ,  Peter Wu

IPC: H04L41/0893 ,  H04L41/0894 ,  G06F11/34 ,  H04L41/22 ,  H04L41/0604

Abstract: An example method of entity lifecycle management in a service monitoring system includes: receiving, by a software application of a service monitoring system, a policy definition specifying an entity lifecycle management policy, wherein the entity lifecycle management policy defines management rules for a plurality of entities in the network environment, wherein each entity of the plurality of entities is represented by one of: a device, an application, a service, or a user account; identifying, by applying the entity lifecycle management policy to a plurality of active entities, one or more candidate entities for retirement; identifying, as retired entities, at least a subset of the one or more candidate entities; and excluding the retired entities from the plurality of active entities, thus preventing the retired entities from interacting with other components of the service monitoring system.

公开(公告)号：US11831521B1

公开(公告)日：2023-11-28

申请号：US17587740

申请日：2022-01-28

Applicant: SPLUNK Inc.

Inventor： Jeetendra Shashikant Dhake ,  Ankur Ashok Kath ,  Ayyappa Muthusami ,  Jeffrey Wen-Young Shih ,  Ian Edward Torbett

IPC: H04L41/22 ,  H04L41/0823 ,  H04L41/0894 ,  H04L41/5025 ,  H04L41/5009

CPC classification number: H04L41/5025 ,  H04L41/0823 ,  H04L41/0894 ,  H04L41/22 ,  H04L41/5009

Abstract: An example method of entity lifecycle management in a service monitoring system includes: receiving, by a software application of a service monitoring system, a policy definition specifying an entity lifecycle management policy, wherein the entity lifecycle management policy defines management rules for a plurality of entities in the network environment, wherein each entity of the plurality of entities is represented by one of: a device, an application, a service, or a user account; identifying, by applying the entity lifecycle management policy to a plurality of active entities, one or more candidate entities for retirement; retiring at least a subset of the one or more candidate entities; and excluding the retired entities from the plurality of active entities, thus preventing the retired entities from interacting with other components of the service monitoring system.

公开(公告)号：US12021698B1

公开(公告)日：2024-06-25

申请号：US18115822

申请日：2023-03-01

Applicant: SPLUNK Inc.

Inventor： Ankur Ashok Kath ,  Ayyappa Muthusami ,  Jeffrey Wen-Young Shih ,  Ian Edward Torbett ,  Peter Wu

IPC: H04L41/0893 ,  G06F11/34 ,  H04L41/0604 ,  H04L41/0894 ,  H04L41/22 ,  H04L41/5009 ,  H04L43/065 ,  H04L43/0805

CPC classification number: H04L41/0893 ,  G06F11/3428 ,  H04L41/0613 ,  H04L41/0894 ,  H04L41/22 ,  H04L41/5012 ,  H04L43/065 ,  H04L43/0805

Abstract: An example method of entity lifecycle management in a service monitoring system includes: receiving, by a software application of a service monitoring system, a policy definition specifying an entity lifecycle management policy, wherein the entity lifecycle management policy defines management rules for a plurality of entities in a network environment, wherein each entity of the plurality of entities is represented by one of: a device, an application, a service, or a user account; identifying, by applying the entity lifecycle management policy, one or more candidate entities for retirement; identifying, as retired entities, at least a subset of the one or more candidate entities; and excluding the retired entities from a plurality of active entities, thus preventing the retired entities from interacting with other components of the service monitoring system; and determining a value of a key performance indicator (KPI) reflecting an aspect of performance of the service, wherein the KPI is defined by a search query that derives the value of the KPI from machine data associated with one or more entities of the plurality of active entities.

公开(公告)号：US11687438B1

公开(公告)日：2023-06-27

申请号：US17248612

申请日：2021-01-29

Applicant: Splunk Inc.

Inventor： Ian Edward Torbett ,  Lila Fridley ,  Tristan Antonio Fletcher ,  Ayyappa Muthusami ,  Tanner Gilligan

IPC: G06F11/34 ,  G06F11/30 ,  G06F11/32

CPC classification number: G06F11/3466 ,  G06F11/3075 ,  G06F11/324 ,  G06F11/3428

Abstract: Systems and methods are described for performing adaptive thresholding on key performance indicator (KPI) values using an online machine learning algorithm as the KPI values or the data from which the KPI values are derived is being ingested. For example, the system can identify outliers in a moving window of KPI values. To implement the adaptive thresholding, the system may identify seasonality and/or trend components in historical KPI values. When a new KPI value is obtained, the system may remove the identified seasonality and/or trend components from the KPI value, and determine whether the modified KPI value is an outlier using sketches or quantiles. The system can then repeat this process for each subsequently received KPI value.