Sharing configuration information through a shared storage location

    公开(公告)号:US11386109B2

    公开(公告)日:2022-07-12

    申请号:US16259837

    申请日:2019-01-28

    Applicant: SPLUNK INC.

    Abstract: Various embodiments describe multi-site cluster-based data intake and query systems, including cloud-based data intake and query systems. Using a hybrid search system that includes cloud-based data intake and query systems working in concert with so-called “on-premises” data intake and query systems can promote the scalability of search functionality. In addition, the hybrid search system can enable data isolation in a manner in which sensitive data is maintained “on premises” and information or data that is not sensitive can be moved to the cloud-based system. Further, the cloud-based system can enable efficient leveraging of data that may already exist in the cloud.

    Sharing configuration information for searches in data intake and query systems

    公开(公告)号:US10235460B2

    公开(公告)日:2019-03-19

    申请号:US14526500

    申请日:2014-10-28

    Applicant: Splunk Inc.

    Abstract: Various embodiments describe multi-site cluster-based data intake and query systems, including cloud-based data intake and query systems. Using a hybrid search system that includes cloud-based data intake and query systems working in concert with so-called “on-premises” data intake and query systems can promote the scalability of search functionality. In addition, the hybrid search system can enable data isolation in a manner in which sensitive data is maintained “on premises” and information or data that is not sensitive can be moved to the cloud-based system. Further, the cloud-based system can enable efficient leveraging of data that may already exist in the cloud.

    Hybrid cluster-based data intake and query

    公开(公告)号:US09990423B2

    公开(公告)日:2018-06-05

    申请号:US14526493

    申请日:2014-10-28

    Applicant: Splunk Inc.

    CPC classification number: G06F17/30705 G06F17/30631

    Abstract: Various embodiments describe multi-site cluster-based data intake and query systems, including cloud-based data intake and query systems. Using a hybrid search system that includes cloud-based data intake and query systems working in concert with so-called “on-premises” data intake and query systems can promote the scalability of search functionality. In addition, the hybrid search system can enable data isolation in a manner in which sensitive data is maintained “on premises” and information or data that is not sensitive can be moved to the cloud-based system. Further, the cloud-based system can enable efficient leveraging of data that may already exist in the cloud.

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