Splunk Inc.

Rebecca Tortell

Steven Karis

Amin Moshgabadi

Siri Singamneni

Nasim Bigdelu

Joshua Vertes

Jared Breeden

Mirjana Tesic

Rajesh Raman

Alexandra Victoria Nuttbrown

Eyal Ophir

Calvin Chan

Harsh Vardhan Vashistha

Park Kittipatkul

Caitlin Jessica Yolanda Pinn

Janet W Yu

Margaret Kelley

Kunal Mamidpalliwar

Nikhil Kasthurirangan

Ann Bannon

Systems and methods are described for generation and execution of modified queries. An input can be received via a visualization of a user interface. The input may identify a first field value and a first field for execution of a query. A set of data for execution of the query can be identified based on the input. Alias data may identify a second field that is associated with the first field. Using the alias data, a modified query can be generated based on the query and the second field. The modified query can be executed to generate query results. The query results can be displayed via a visualization of the user interface based on the first field.

Generation of modified queries using a field value for different fields

Systems and methods are described for display of metric data and log data in a graphical user interface. Metric data can be ingested from a first data source via a first ingestion path and log data can be ingested from a second data source via a second ingestion path. The first data source and the second data source may be distinct, disparate data sources and the first ingestion path and the second ingestion path may be distinct, disparate ingestion paths. The metric data can be displayed in a first area of the graphical user interface and the log data can be displayed in a second area of the graphical user interface. Input can be received identifying a selection of a portion of the metric data for display and the log data can be filtered based on the selection to identify a portion of the log data for display.

Display of log data and metric data from disparate data sources

According to embodiments, a method for navigating clusters of a data structure includes gathering data from the data structure by instrumenting instances of application software executing on the data structure. The method also includes identifying clusters of the data structure based on the gathered data. The method also includes causing display of a cluster map of the data structure, the cluster map comprising a plurality of clusters, each cluster of the plurality of clusters comprising a plurality of nodes, each node of the plurality of nodes comprising a plurality of pods, each pod of the plurality of pods comprising a plurality of containers. The method also includes providing a status for each node, each pod, and each container of each cluster. The method also includes causing display of analysis of each cluster of the cluster map, the analysis comprising granular information for each cluster.

Data structure navigator

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

Growing community of inventors

Los Altos, CA, United States of America

Rebecca Tortell