TECHNIQUES FOR DYNAMICALLY BENCHMARKING CLOUD DATA STORE SYSTEMS

    公开(公告)号:US20180060154A1

    公开(公告)日:2018-03-01

    申请号:US15394448

    申请日:2016-12-29

    Applicant: NETFLIX, INC.

    CPC classification number: H04L67/1097 G06F11/34

    Abstract: In various embodiments, a benchmarking engine automatically tests a data store to assess functionality and/or performance of the data store. The benchmarking engine generates data store operations based on dynamically adjustable configuration data. As the benchmarking engine generates the data store operations, the data store operations execute on the data store. In a complementary fashion, as the data store operations execute on the data store, the benchmarking engine generates statistics based on the results of the executed data store operations. Advantageously, because the benchmarking engine adjusts the number and/or type of data store operations that the benchmarking engine generates based on any changes to the configuration data, the workload that executes on the data store may be fine-tuned as the benchmarking engine executes.

    TECHNIQUES FOR SCHEDULED ANTI-ENTROPY REPAIR DESIGN

    公开(公告)号:US20210406116A1

    公开(公告)日:2021-12-30

    申请号:US17471033

    申请日:2021-09-09

    Applicant: NETFLIX, INC.

    Abstract: Various embodiments of the invention disclosed herein provide techniques for performing distributed anti-entropy repair procedures across a plurality of nodes in a distributed database network. A node included in a plurality of nodes within the distributed database network determines, before all other nodes included in the plurality of nodes, that a first anti-entropy repair procedure has ended. The node determines that a second anti-entropy repair procedure is ready to begin. The node generates a schedule for executing one or more operations associated with the second anti-entropy repair procedure. The node writes the schedule to a shared repair schedule data structure to initiate the second anti-entropy repair procedure across multiple nodes included in the plurality of nodes. Each of the nodes included in the plurality of nodes then performs a node repair based on the schedule.

    TECHNIQUES FOR SCHEDULED ANTI-ENTROPY REPAIR DESIGN

    公开(公告)号:US20190303234A1

    公开(公告)日:2019-10-03

    申请号:US16367069

    申请日:2019-03-27

    Applicant: NETFLIX, INC.

    Abstract: Various embodiments of the invention disclosed herein provide techniques for performing distributed anti-entropy repair procedures across a plurality of nodes in a distributed database network. A node included in a plurality of nodes within the distributed database network determines, before all other nodes included in the plurality of nodes, that a first anti-entropy repair procedure has ended. The node determines that a second anti-entropy repair procedure is ready to begin. The node generates a schedule for executing one or more operations associated with the second anti-entropy repair procedure. The node writes the schedule to a shared repair schedule data structure to initiate the second anti-entropy repair procedure across multiple nodes included in the plurality of nodes. Each of the nodes included in the plurality of nodes then performs a node repair based on the schedule.

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