Splunk Inc.

Cisco Technology, Inc.

Jeffrey Wen-Young Shih

Ankur Ashok Kath

Ian Edward Torbett

Ayyappa Muthusami

Peter Wu

Jeetendra Shashikant Dhake

Manoj Pawar

A computing device monitors a key performance indicator (KPI) relative to a first alert threshold, where a value of the KPI having a specified relationship to the first alert threshold causes the computing device to generate an alert. When the computing device receives an instruction to modify the first alert threshold by an adjustment amount, for a specified time window, the computing device generates a modified alert threshold by applying the adjustment amount to the first alert threshold. During the specified time window, the computing device monitors the KPI relative to the modified alert threshold instead of the first alert threshold. Monitoring is resumed relative to the first alert threshold after the specified time window.

Custom threshold windows for key performance indicator alerts

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.

Entity retirement in service monitoring system

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.

Entity lifecycle management in service monitoring system

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.

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San Jose, CA, United States of America

Jeffrey Wen-Young Shih