Splunk Inc.

Joseph Gabriel Echeverria

Eric Sammer

Arthur Foelsche

Sarah Stanger

Alexander Douglas James

Sourav Pal

Bashar Abdul-Jawad

Matthew Dailey

Christopher Madden Pride

Alexandros Batsakis

Bharath Kishore Reddy Aleti

Sai Krishna Sajja

Ran Xie

Ricky Gene Burnett

Poornima Devaraj

Shyam Mundhra

Eric Prokop

Jeremiah Reichardt

Venkata SreeKrishna Koganti

Ryan Konrad Yee

Xiangyu Wu

Hardik Shah

Anush Kumar Jayaraman

Max Feng

Operational machine components of an information technology (IT) or other microprocessor- or microcontroller-permeated environment generate disparate forms of machine data. Network connections are established between these components and processors of data intake and query system (DIQS). The DIQS conducts network transactions on a periodic and/or continuous basis with the machine components to receive disparate data and ingest certain of the data as entries of a data store that is searchable for DIQS query processing. The DIQS may receive queries to process against the received and ingested data via an exposed network interface. In one example embodiment, the DIQS receives a query identifying data to be processed, dynamically generates a query processing scheme based on the state of the data to be processed, such as streaming or at rest, and dynamically communicates the query processing scheme to a query executor based on the state of the data to be processed.

Dynamic query processor for streaming and batch queries

Systems and methods are described herein for synthesizing traces from logs of a distributed computing system. A trace represents a single transaction, such as handling of a user request, on the distributed computing system. The transaction can include multiple underlying operations on the distributed computing system, which are represented as spans within the trace and may be hierarchically arranged within the trace. In instances where a distributed computing system does not provide for tracing natively, a trace can be synthesized from log entries of the distributed computing system. A streaming data processing system can ingest a data stream including log entries, and identify within the data stream those log entries relating to a given transaction. The streaming data processing system can further identify log entries that demark the beginnings and endings of operations for that transaction, and can utilize the identified log entries to build a trace for the transaction.

Streaming synthesis of distributed traces from machine logs

Systems and methods are described for unified processing of indexed and streaming data. A system enables users to query indexed data or specify processing pipelines to be applied to streaming data. In some instances, a user may specify a query intended to be run against indexed data, but may specify criteria that includes not-yet-indexed data (e.g., a future time frame). The system may convert the query into a data processing pipeline applied to not-yet-indexed data, thus increasing the efficiency of the system. Similarly, in some instances, a user may specify a data processing pipeline to be applied to a data stream, but specify criteria including data items outside the data stream. For example, a user may wish to apply the pipeline retroactively, to data items that have already exited the data stream. The system can convert the pipeline into a query against indexed data to satisfy the users processing requirements.

Unified data processing across streaming and indexed data sets

Dynamic data processor for streaming and batch queries

Systems and methods are disclosed for implementing dual textual/graphical programming interfaces for programming streaming data processing pipelines. A user interface is provided that enables a user to author a processing pipeline as a query in a query language, and to request conversion of that query language into a graph data structure representation of the pipeline, which can be visualized in the interface. The interface further enables modification of the graph via interaction with the visualization. On request, the modified graph can be converted back into the query language, with the querying being modified to reflect the modifications to the graph.

Dual textual/graphical programming interfaces for streaming data processing pipelines

Systems and methods are described for graphical user interfaces that enable users to graphically design nodes and interconnections of pipelines for preprocessing data later ingested into an indexing system. The preprocessing can include receiving messages published to a first publish-subscribe messaging system, the messages containing raw machine data generated by one or more components in an information technology environment, performing one or more processing operations on at least some of the messages to generate preprocessed messages, republishing the preprocessed messages to a second publish-subscribe messaging system, and providing to the indexing system, a subset of the messages from the second publish-subscribe messaging system. Nodes in the pipeline can specify the preprocessing operations, and interconnections in the pipeline can represent data flow through the nodes of the pipeline.

Handling modifications in programming of an iterative message processing system

Systems and methods are described for preprocessing data later ingested into an indexing system. The preprocessing can include receiving messages published to a first publish-subscribe messaging system, the messages containing raw machine data generated by one or more components in an information technology environment, performing one or more processing operations on at least some of the messages to generate preprocessed messages, republishing the preprocessed messages to a second publish-subscribe messaging system, and providing to the indexing system, a subset of the messages from the second publish-subscribe messaging system.

Message-based data ingestion to a data intake and query system

Systems and methods are described for processing data by interactions with a publish-subscribe messaging system. The processing may include receiving messages published to at least one publish-subscribe messaging system, the messages containing data collected during operation of one or more source computing systems and iteratively processing the received messages through the publish-subscribe messaging system, wherein iteratively processing a message comprises serially republishing the message to the at least one publish-subscribe messaging system and altering the message between individual republishings according to a set of rules, and wherein a final republishing of the message during the serial republishing makes a version of the message available on the at least one publish-subscribe messaging system to a downstream component.

Iterative message-based data processing including streaming analytics

Assisted visual programming for iterative message processing system

Systems and methods are described for graphical user interfaces that enable users to graphically design nodes and interconnections of pipelines for preprocessing data later ingested into an indexing system. The preprocessing can include receiving messages published to a first publish-sub scribe messaging system, the messages containing raw machine data generated by one or more components in an information technology environment, performing one or more processing operations on at least some of the messages to generate preprocessed messages, republishing the preprocessed messages to a second publish-subscribe messaging system, and providing to the indexing system, a subset of the messages from the second publish-subscribe messaging system. Nodes in the pipeline can specify the preprocessing operations, and interconnections in the pipeline can represent data flow through the nodes of the pipeline.

Visual programming for iterative message processing system

Systems and methods are disclosed for interfacing with one or more components of a data intake and query system. The data intake and query system includes a gateway that interfaces between one or more computer-executable applications and one or more components of the data intake and query system. The data intake and query system can include an intake system configured to ingest data, an indexing system configured to generate and store one or more events based on the data, and a query system configured to execute one or more queries. The intake system can include a streaming data processor and at least one ingestion buffer. The indexing system can include at least one containerized indexing node, and the query system can include at least one containerized search node.

Data intake and query system gateway

Visual previews for programming an iterative publish-subscribe message processing system

Growing community of inventors

San Francisco, CA, United States of America

Joseph Gabriel Echeverria