Assigning raw data size of source data to storage consumption of an account

    公开(公告)号:US11989707B1

    公开(公告)日:2024-05-21

    申请号:US17329384

    申请日:2021-05-25

    Applicant: SPLUNK Inc.

    CPC classification number: G06Q20/102 G06F16/316 G06Q20/08

    Abstract: Provided are systems and methods for managing storage of machine data. In one embodiment, a method can be provided. The method can include receiving, from one or more data sources, raw machine data; processing the raw machine data to generate processed machine data; storing the processed machine data in a data store; and determining an allocated data size associated with the processed machine data stored in the data store, wherein the allocated data size is the size of the raw machine data corresponding to the processed machine data stored in the data store.

    GENERATION OF MODIFIED QUERIES USING A FIELD VALUE FOR DIFFERENT FIELDS

    公开(公告)号:US20240143612A1

    公开(公告)日:2024-05-02

    申请号:US18051458

    申请日:2022-10-31

    Applicant: Splunk Inc.

    CPC classification number: G06F16/248 G06F16/2425

    Abstract: 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.

    Highly available message ingestion by a data intake and query system

    公开(公告)号:US11954541B1

    公开(公告)日:2024-04-09

    申请号:US17588074

    申请日:2022-01-28

    Applicant: Splunk Inc.

    Inventor: Craig Keith Carl

    CPC classification number: G06F9/546

    Abstract: Techniques are described for providing a highly available data ingestion system for ingesting machine data sent from remote data sources across potentially unreliable networks. To provide for highly available delivery of such data, a data intake and query system provides users with redundant sets of ingestion endpoints to which messages sent from users' computing environments can be delivered to the data intake and query system. Users' data sources, or data forwarding components configured to obtain and send data from one or more data sources, are then configured to encapsulate obtained machine data into discrete messages and to send copies of each message to two or more of the ingestion endpoints provisioned for a user. The ingestion endpoints receiving the messages implement a deduplication technique and provide only one copy of each message to a subsequent processing component (e.g., to an indexing subsystem for event generation, event indexing, etc.).

    Determining affinities for data set summarizations

    公开(公告)号:US11954127B1

    公开(公告)日:2024-04-09

    申请号:US17316421

    申请日:2021-05-10

    Applicant: Splunk Inc.

    CPC classification number: G06F16/283 G06F16/2465

    Abstract: Systems and methods are disclosed for associating summarizations of visualizations of a data set based on affinities between the summarizations. For a data set, a number of summarizations may be created that summarizes the data set in different ways. The summarizations may be linked, such that selecting a data element of a first summarization causes display of a second summarization. To assist in linking of summarizations, suggested linkings between summarizations can be determined based on affinities of the two summarizations. Affinities can reflect similarities in the data content of the two summarizations, such as an output of a first summarization being a valid input to the second summarization.

    Enhanced simple network management protocol (SNMP) connector

    公开(公告)号:US11949547B2

    公开(公告)日:2024-04-02

    申请号:US17387811

    申请日:2021-07-28

    Applicant: SPLUNK Inc.

    CPC classification number: H04L41/0213 H04L41/048 H04L67/306

    Abstract: Techniques are described for automating the configuration of a simple network management protocol (SNMP) manager device for enabling collection of SNMP data from one or more SNMP-enabled devices. Based upon SNMP object identifiers (OIDs) received from an SNMP-enabled device, processing is performed to map the OIDs to one or more SNMP management information bases (MIBs) corresponding to the OIDs. The identification of the OIDs and mapping the OIDs to one or more MIBs is performed in an automated manner and substantially free of any human or manual intervention. The identified one or more MIBs are then used to configure the SNMP manager to enable SNMP communications between the SNMP-enabled device and the SNMP manager. In certain implementations, the identified one or more MIBs are loaded into system memory by the SNMP manager.

    Reducing index file size based on event attributes

    公开(公告)号:US11934418B2

    公开(公告)日:2024-03-19

    申请号:US17447620

    申请日:2021-09-14

    Applicant: Splunk Inc.

    CPC classification number: G06F16/248 G06F16/2228 G06F16/285 G06F16/21

    Abstract: Techniques and mechanisms are disclosed to optimize the size of index files to improve use of storage space available to indexers and other components of a data intake and query system. Index files of a data intake and query system may include, among other data, a keyword portion containing mappings between keywords and location references to event data containing the keywords. Optimizing an amount of storage space used by index files may include removing, modifying and/or recreating various components of index files in response to detecting one or more storage conditions related to the event data indexed by the index files. The optimization of index files generally may attempt to manage a tradeoff between an efficiency with which search requests can be processed using the index files and an amount of storage space occupied by the index files.

    Dynamically monitoring an information technology networked entity

    公开(公告)号:US11934417B2

    公开(公告)日:2024-03-19

    申请号:US17373580

    申请日:2021-07-12

    Applicant: Splunk Inc.

    CPC classification number: G06F16/248 G06F3/04847 G06F16/9535 G06F3/04842

    Abstract: Data intake and query system (DIQS) instances supporting applications including lower-tier, focused, work group oriented applications, are tailored to display the metrics for the needs of the user. An interface caused by operation of an entity monitoring system (EMS) operating in conjunction with the lower-tier DIQS displays the monitored entities as individual representations. The user selects a metric and a metric threshold. The EMS causes a display of an interface having a representation for each monitored entity. Each representation includes a metric value and indicates an entity status based on the metric value and the threshold. The user can dynamically change the threshold on the interface for easy visualization of aggregation of monitored entities to determine the performance of the infrastructure. The interface also provides the user with the ability to select an entity and click through to the entity analysis workspace for more detailed information.

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