SYSTEMS AND METHODS FOR DETECTING PERFORMANCE DEGRADATION IN DISTRIBUTED DATABASE DEPLOYMENTS

    公开(公告)号:US20240256566A1

    公开(公告)日:2024-08-01

    申请号:US18430497

    申请日:2024-02-01

    Applicant: MongoDB, Inc.

    CPC classification number: G06F16/27 G06F16/212 G06F16/9538

    Abstract: Systems and methods are configured to identify and resolve user-based issues, architecture issues, and data model issues that are introduced into distributed database deployments. Even in the context of a pre-built distributed database system, “bad” user behavior can have huge impacts on database performance. Various embodiments provide for analysis and resolution of architecture issues, as well schema issues, and can be configured to identify and resolve such problems in the context of dynamic schema database systems. Unlike relational database counterparts, dynamic schema databases do not enforce static database architecture or defined schemas. In such environments, database data and database formatting can be mostly unconstrained. If used properly, this flexibility enables easy configuration and execution. However, when improperly designed, small flaws magnify in significance as the database grows. Various embodiments identify anti-patterns indicative of non-optimal configuration or bad performance, and generate options for resolving them.

    Systems and methods for detecting performance degradation in distributed database deployments

    公开(公告)号:US11921744B2

    公开(公告)日:2024-03-05

    申请号:US17341532

    申请日:2021-06-08

    Applicant: MongoDB, Inc.

    CPC classification number: G06F16/27 G06F16/212 G06F16/9538

    Abstract: Systems and methods are configured to identify and resolve user-based issues, architecture issues, and data model issues that are introduced into distributed database deployments. Even in the context of a pre-built distributed database system, “bad” user behavior can have huge impacts on database performance. Various embodiments provide for analysis and resolution of architecture issues, as well schema issues, and can be configured to identify and resolve such problems in the context of dynamic schema database systems. Unlike relational database counterparts, dynamic schema databases do not enforce static database architecture or defined schemas. In such environments, database data and database formatting can be mostly unconstrained. If used properly, this flexibility enables easy configuration and execution. However, when improperly designed, small flaws magnify in significance as the database grows. Various embodiments identify anti-patterns indicative of non-optimal configuration or bad performance, and generate options for resolving them.

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