Splunk Inc.

Anupadmaja Raghavan

Tristan Antonio Fletcher

Brian C Reyes

Adrian E Hall

Kenneth M Sternberg

Alok Anant Bhide

Clint Sharp

Arun Ramani

Ross Andrew Lazerowitz

Alan Vincent Hardin

George Daloukov

Marc Andre Chene

Provided are systems and methods for determining and displaying service performance information via a graphical user interface. A method can include visually rendering a service-level dashboard reflecting performance of a service and presenting a visual indication of health of each component service and a list of events each corresponding to a change in performance of one of the component services. The method can further include responsive to receiving, via a graphical user interface (GUI), a selection of a component service, visually rendering a system-level dashboard reflecting performance of the selected component-level service, wherein the component service is performed by one or more machines, and wherein the system-level dashboard presents the machines and one or more events each corresponding to a change in performance of one of the machines.

Service analyzer interface presenting performance information of machines providing component services

An automatic service monitor in an information technology environment has its operation controlled by information that, in part, defines entities that perform services and defines key performance indicators (KPIs) that indicate measures of performance of the services. Additional information controls the operation of the service monitor with respect to identifying and adapting for KPIs based on the non-normal data caused by maintenance work or other causes. Such adaptation may include changes in how reported information appears to the user.

Providing a user interface reflecting service monitoring adaptation for maintenance downtime

A service monitoring system (SMS) produces key performance indicator (KPI) scores that indicate the performance of a service. To produce the KPI scores, the SMS may process the data for a large number of machine entities that perform the service. This data can be processed on a per-entity basis to produce a per-entity KPI score representing the contribution of a particular machine to the overall KPI. The per-entity KPI scores can be transformed to statistical representations which can be visualized as a distribution stream graph. The visualization may be presented with interactive aspects. Automatic entity definitions may also be generated based on content derived from the processed data.

Automatic entity definitions based on derived content

Technologies are disclosed for providing a common information model. Features include: detecting a scheduled time for a key performance indicator reflecting how a service provided by one or more entities is performing, entity definition information recording the association between the entities and its machine data, service definition information associating the entities that provide the service, and the KPI being defined by a search query, including a field identifier specified in a data model, the KPI derives a value from the machine data; performing the query in response to said detecting, including: associating values in the machine data having disparate field names in accordance with disparate schemas with the field identifier specified in the data model, and processing the associated values as semantically equivalent data instances. In doing so, values having the same semantic (or related semantics) can be used together despite being associated with disparate field names from disparate schemas.

Evaluating key performance indicators of information technology service

Service monitoring adaptation for maintenance downtime

Provided are systems and methods for determining and displaying service performance information via a graphical user interface. In one embodiment, a system can provide, for each of one or more machines associated with a service: obtaining performance data for the machine; and comparing the performance data for the machine to one or more predefined performance thresholds for the machine to determine a health status for the machine; and determining a health status for the service based at least in part on the health status of at least one of the one or more machines associated with the service.

Service analyzer interface with composite machine scores

Performing search queries for key performance indicators using an optimized common information model

Methods are disclosed to take advantage of the early collection of machine data from a new or changed entity in a computing environment in order to update the definitional information about entities used by a service monitoring system. In some embodiments, the process undertaken to recognize new or changed entities in an IT environment from collected machine data may be informed by the expertise of a particular subject matter area by installing that intelligence in a codified form packaged as a domain add-on to the service monitoring system.

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San Jose, CA, United States of America

Anupadmaja Raghavan