SYSTEMS AND METHODS FOR DETECTING PERFORMANCE DEGRADATION IN DISTRIBUTED DATABASE DEPLOYMENTS

    公开(公告)号:US20210382911A1

    公开(公告)日:2021-12-09

    申请号:US17341532

    申请日:2021-06-08

    摘要: 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 MANAGING DISTRIBUTED DATABASE DEPLOYMENTS

    公开(公告)号:US20170286517A1

    公开(公告)日:2017-10-05

    申请号:US15627645

    申请日:2017-06-20

    IPC分类号: G06F17/30 G06F11/14 G06F11/07

    摘要: Various aspects provide for implementation of a cloud service for running, monitoring, and maintaining cloud distributed database deployments and in particular examples, provides cloud based services to run, monitor and maintain deployments of the known MongoDB database. Various embodiments provide services, interfaces, and manage provisioning of dedicated servers for the distributed database instances (e.g., MongoDB instances). Further aspects, including providing a database as a cloud service that eliminates the design challenges associated with many distributed database implementations, while allowing the client's input on configuration choices in building the database. In some implementations, clients can simply identity a number of database nodes, capability of the nodes, and within minutes have a fully functioning, scalable, replicated, and secure distributed database in the cloud.