Splunk Inc.

Jared Breeden

Steven Karis

Amin Moshgabadi

Siri Singamneni

Joshua Vertes

Asmita Puri

Rebecca Tortell

Sarah Matarese

Hema Krishnamurthy Mohan

Brian Krueger

Erik Oscar Riiska

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

Systems and methods are described for generating metrics from real-time streaming log data. In order to generate the metrics, a metricization rule associated with the log data can be obtained. For example, the metricization rule may be obtained from a user. The metricization rule may include one or more field-value pairs that define how the metrics are generated from the log data. Preview metric data can be generated by applying the metricization rule to the log data. For example, the preview metric data may be displayed via a user interface. Further, the metricization rule can be accepted or approved by the user. Further, the additional log data can be ingested and based on determining that the metricization rule has been accepted, metric data may be generated by applying the metricization rule to the additional log data.

Generating metric data from log data using metricization rules

Systems and methods are described for providing a user interface for display of metric data. A plurality of graphical controls can be displayed in the user interface to modify the generation of the metric data. For example, a first graphical control may enable a user to specify a processing criterion and a second graphical control may enable a user to specify an aggregation criterion and a grouping criterion. Based on the aggregation criterion, aggregated data can be generated from data processed using the processing criterion. The grouping criterion can be used to extract metric data from the aggregated data and a preview of the metric data can be displayed in the user interface.

User interface for summarizing data to generate previews of metric data

A data stream processing system can receive a stream of data and display a portion of the stream to a user. The displayed streaming data can change over time as additional data is received as part of the stream. The data stream processing system can extract one or more field values rom data in the stream and generate filters based on the extracted information. The generated filters can be displayed to a user, and in response to an interaction with a generated filter, the data stream processing system can apply the selected filter to data in the data stream.

Filter generation for real-time data stream

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Melbourne, FL, United States of America

Jared Breeden