TRACKING CHANGES THAT AFFECT PERFORMANCE OF DEPLOYED APPLICATIONS
    2.
    发明申请
    TRACKING CHANGES THAT AFFECT PERFORMANCE OF DEPLOYED APPLICATIONS 审中-公开
    跟踪应用程序性能的变化

    公开(公告)号:US20150149424A1

    公开(公告)日:2015-05-28

    申请号:US14612986

    申请日:2015-02-03

    Applicant: VMware, Inc.

    Abstract: An application monitoring infrastructure that enables application configuration changes on multiple machines across multiple OS types to be tracked by identifying data containers that are to be monitored for changes, detecting a change to a monitored data container, and storing data representative of a changed version of the monitored data container responsive to detecting that the monitored container was changed. The data containers that are to be monitored for changes are identified from templates, and a unique template is provisioned for each of the applications.

    Abstract translation: 一种应用程序监视基础设施,可通过识别要监视更改的数据容器来跟踪多个操作系统类型的多台计算机上的应用程序配置更改,检测对受监视数据容器的更改,以及存储表示更改版本的数据的数据 监视的数据容器响应于检测到所监视的容器被改变。 将要从模板中识别要监视更改的数据容器,并为每个应用程序配置唯一的模板。

    TRACKING CHANGES THAT AFFECT PERFORMANCE OF DEPLOYED APPLICATIONS

    公开(公告)号:US20230084025A1

    公开(公告)日:2023-03-16

    申请号:US18055308

    申请日:2022-11-14

    Applicant: VMware, Inc.

    Abstract: An application monitoring infrastructure that enables application configuration changes on multiple machines across multiple OS types to be tracked by identifying data containers that are to be monitored for changes, detecting a change to a monitored data container, and storing data representative of a changed version of the monitored data container responsive to detecting that the monitored container was changed. The data containers that are to be monitored for changes are identified from templates, and a unique template is provisioned for each of the applications.

    Self-Learning Automated Remediation of Changes that Cause Performance Degradation of Applications
    4.
    发明申请
    Self-Learning Automated Remediation of Changes that Cause Performance Degradation of Applications 有权
    自学习自动修复导致应用程序性能下降的更改

    公开(公告)号:US20150381409A1

    公开(公告)日:2015-12-31

    申请号:US14315169

    申请日:2014-06-25

    Applicant: VMware, Inc.

    CPC classification number: H04L41/0631 H04L41/0672 H04L41/0863

    Abstract: Techniques are disclosed for automatic remediation of application performance degradations caused by configuration changes. In one embodiment, a learning module keeps track of application configuration changes and subsequent effects on the application's performance. The learning module creates new potential remediation rules based on correlations between such configuration changes and performance degradations or improvements. The learning module affirms such potential rules if the correlation between the configuration changes and degradations or improvements are repeatedly observed, and vice versa. When subsequent performance degradations are observed, a rule engine, which maintains a set of remediation rules, evaluates the rules to identify configuration changes relevant to the observed performance degradation and determines whether the probability that the configuration changes caused the degradation are greater than a threshold for invoking a remediation action, such as rolling back the configuration changes.

    Abstract translation: 公开了自动修复由配置更改引起的应用程序性能下降的技术。 在一个实施例中,学习模块跟踪应用程序配置更改和随后对应用程序性能的影响。 学习模块基于这种配置更改与性能下降或改进之间的相关性,创建新的潜在修复规则。 如果重复观察到配置变化与劣化或改进之间的相关性,学习模块肯定了这样的潜在规则,反之亦然。 当观察到后续性能下降时,维护一组修复规则的规则引擎评估规则以识别与观察到的性能降级相关的配置更改,并确定配置更改导致降级的概率是否大于阈值 调用补救措施,如回滚配置更改。

    TRACKING CHANGES THAT AFFECT PERFORMANCE OF DEPLOYED APPLICATIONS

    公开(公告)号:US20200226003A1

    公开(公告)日:2020-07-16

    申请号:US16155154

    申请日:2018-10-09

    Applicant: VMware, Inc.

    Abstract: An application monitoring infrastructure that enables application configuration changes on multiple machines across multiple OS types to be tracked by identifying data containers that are to be monitored for changes, detecting a change to a monitored data container, and storing data representative of a changed version of the monitored data container responsive to detecting that the monitored container was changed. The data containers that are to be monitored for changes are identified from templates, and a unique template is provisioned for each of the applications.

Patent Agency Ranking