Splunk Inc.

Asmita Puri

Fang I Hsiao

Alan Vincent Hardin

Kan Wu

Alok Anant Bhide

Jared Breeden

Tristan Antonio Fletcher

Systems and methods are disclosed for implementing a data processing workflow user interface for a streaming data processing system. The workflow is visually represented as a series of modules along with interconnections for the modules. Each module represents an operation on a streaming data object, such as a data transformation. The user interface enables selection of a workflow template based on a user-specified data source, and then allows the user to customize the workflow template by specifying additional operations to apply to data objects. The interface may show the user a preview of output data objects processed according to the customized workflow.

Guided creation interface for streaming data processing pipelines

Information technology environment monitoring systems, for example, perform analytics over machine data received from networked entities. Outputs of such a system may be useful to help a user identify a problem and resolve an incident. Inventive aspects enable user interactions to trigger automatic connection with network servers to establish communication channels for conveying analytics and other information related to the problem between and among network nodes participating in the resolution of the problem or incident.

Collaborative incident management for networked computing systems

An automatic service monitor in an information-technology environment performs regular search queries against generated machine data to derive performance measurements. The information technology environment is defined in terms of services provided by entities, and the performance measurements are defined as key performance indicators (KPIs) of the services. Generated machine data used by the search queries pertain to the entities performing the service. Definitional information for the services, entities, and KPIs is administered by a user to control the operation of the service monitor. Various aspects of such definitional information as well as related performance measurement information may be presented in a unified console display tailored to, and organized around, a particular service. The console display may serve as a central launch point by supporting user interaction to navigate to other specialized monitoring interfaces.

Service detail monitoring console

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.

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San Francisco, CA, United States of America

Asmita Puri