AUTOMATED REMEDIATION OF ISSUES ARISING IN A DATA MANAGEMENT STORAGE SOLUTION

    公开(公告)号:US20240036965A1

    公开(公告)日:2024-02-01

    申请号:US18301091

    申请日:2023-04-14

    Applicant: NetApp, Inc.

    CPC classification number: G06F11/079 G06F11/0793 G06F11/3034

    Abstract: Systems and methods for automated remediation of issues arising in a data management storage system are provided. Deployed assets of a storage solution vendor may deliver telemetry data to the vendor on a regular basis. The received telemetry data may be processed by an AIOps platform to perform predictive analytics and arrive at “community wisdom” from the vendor's installed user base. In one embodiment, an insight-based approach is used to facilitate risk detection and remediation including proactively addressing issues before they turn into more serious problems. For example, based on continuous learning based on the community wisdom and making one or both of a rule set and a remediation set derived therefrom available for use by cognitive computing co-located with a customer's storage system, a risk to which the storage system is exposed may be determined and a corresponding remediation may be deployed to address or mitigate the risk.

    METHODS AND SYSTEMS FOR MANAGING A RESOURCE IN A NETWORKED STORAGE ENVIRONMENT
    2.
    发明申请
    METHODS AND SYSTEMS FOR MANAGING A RESOURCE IN A NETWORKED STORAGE ENVIRONMENT 审中-公开
    用于管理网络存储环境中的资源的方法和系统

    公开(公告)号:US20170026312A1

    公开(公告)日:2017-01-26

    申请号:US14805770

    申请日:2015-07-22

    Applicant: NETAPP, INC.

    CPC classification number: H04L67/1097

    Abstract: Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.

    Abstract translation: 提供了一种联网存储系统的方法和系统。 一种方法包括:接收标识网络存储环境的资源的资源标识符作为处理器可执行应用编程接口(API)的输入; 并且基于资源上的工作负载变化的影响,通过使用资源的最佳利用,当前利用率和预测利用率来预测资源的可用性能容量,其中最佳利用是资源利用的指标,超过该资源利用率 工作负载小于处理工作负载的延迟时间。

    Methods and systems for managing a resource in a networked storage environment

    公开(公告)号:US10397324B2

    公开(公告)日:2019-08-27

    申请号:US14805770

    申请日:2015-07-22

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.

    Methods and systems for managing service level objectives in a networked storage environment

    公开(公告)号:US10210023B2

    公开(公告)日:2019-02-19

    申请号:US15090878

    申请日:2016-04-05

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for a networked storage system are provided. One method includes assigning by a processor executable management module a service level objective (SLO) for a workload, where the SLO is allotted a plurality of performance parameters for tracking performance of the workload for storing data in a networked storage environment; tracking historical performance of the workload to determine a duration when SLO allotment defined by the plurality of performance parameters is being under-utilized; adjusting automatically the SLO allotment for the workload during the duration when the SLO allotment is under-utilized; and re-allocating automatically the available performance capacity of a resource used by the workload to another workload whose assigned SLO is not being under-utilized.

    AUTO-HEALING SERVICE FOR INTELLIGENT DATA INFRASTRUCTURE

    公开(公告)号:US20240126636A1

    公开(公告)日:2024-04-18

    申请号:US18392831

    申请日:2023-12-21

    Applicant: NetApp, Inc.

    CPC classification number: G06F11/079 G06F11/0793 G06F11/3034

    Abstract: Systems and methods for automated remediation of issues arising in a data management storage system are provided. Deployed assets of a storage solution vendor may deliver telemetry data to the vendor on a regular basis. The received telemetry data may be processed by an AIOps platform to perform predictive analytics and arrive at “community wisdom” from the vendor's installed user base. In one embodiment, an insight-based approach is used to facilitate risk detection and remediation including proactively addressing issues before they turn into more serious problems. For example, based on continuous learning based on the community wisdom and making one or both of a rule set and a remediation set derived therefrom available for use by cognitive computing co-located with a customer's storage system, a risk to which the storage system is exposed may be determined and a corresponding remediation may be deployed to address or mitigate the risk.

    Methods and systems for managing a resource in a networked storage environment

    公开(公告)号:US11792263B2

    公开(公告)日:2023-10-17

    申请号:US17671270

    申请日:2022-02-14

    Applicant: NetApp Inc.

    CPC classification number: H04L67/1097

    Abstract: Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.

    METHODS AND SYSTEMS FOR MANAGING SERVICE LEVEL OBJECTIVES IN A NETWORKED STORAGE ENVIRONMENT

    公开(公告)号:US20190179679A1

    公开(公告)日:2019-06-13

    申请号:US16275649

    申请日:2019-02-14

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for a networked storage system are provided. One method includes determining by a processor, a demand pattern for a first workload that is assigned a service level objective (SLO) for using a resource of a networked storage system. The SLO is defined by an allotted performance parameter, and the demand pattern identifies a first duration when a SLO allotment for the first workload is underutilized, and a second duration when the SLO allotment is being utilized. The SLO allotment is dynamically adjusted for the first duration by modifying a parameter associated with the performance parameter, while maintaining the SLO allotment for the second duration. This makes additional performance capacity of the resource available for re-allocation. The additional available performance capacity is dynamically allocated for an identified second workload that needs an increase in SLO allotment for a certain duration and/or for provisioning a new workload.

    INTELLIGENT SELF-ADJUSTING METRIC COLLECTION

    公开(公告)号:US20240362531A1

    公开(公告)日:2024-10-31

    申请号:US18308473

    申请日:2023-04-27

    Applicant: NetApp, Inc.

    CPC classification number: G06N20/00

    Abstract: Intelligent self-adjusting metric collection is described. A first rule set is distributed that describes a first set of one or more metrics corresponding to operation of elements of the receiving entities. One or more metrics based on the first rule set are received. A second rule set is generated in response to an indication of a condition change. The second rule set can be generated using machine learning techniques. The second rule set that describes a second set of one or more metrics is distributed. Metrics based on the second rule set are received.

    AUTOMATED REMEDIATION OF DEVIATIONS FROM BEST PRACTICES IN A DATA MANAGEMENT STORAGE SOLUTION

    公开(公告)号:US20240289207A1

    公开(公告)日:2024-08-29

    申请号:US18646119

    申请日:2024-04-25

    Applicant: NetApp, Inc.

    CPC classification number: G06F11/0793 G06F11/0727 G06F11/079

    Abstract: Systems and methods for automated remediation of deviations from best practices in the context of a data management storage system are provided. Deployed assets of a storage solution vendor may periodically deliver telemetry data to the vendor. The telemetry data may be processed by an AIOps platform to perform predictive analytics and arrive at “community wisdom” from the vendor's installed base. In one embodiment, an insight-based approach is used to facilitate risk detection and remediation including proactively addressing deviations from best practices before they turn into more serious problems. Based on the community wisdom and making a rule set and a remediation set derived therefrom available for use by auto-healing service associated with a customer's storage system, a risk (e.g., a deviation from a best practice) to which the storage system is exposed may be determined and a corresponding remediation may be deployed to address or mitigate the risk.

    Methods and systems for managing service level objectives in a networked storage environment

    公开(公告)号:US10817348B2

    公开(公告)日:2020-10-27

    申请号:US16275649

    申请日:2019-02-14

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for a networked storage system are provided. One method includes determining by a processor, a demand pattern for a first workload that is assigned a service level objective (SLO) for using a resource of a networked storage system. The SLO is defined by an allotted performance parameter, and the demand pattern identifies a first duration when a SLO allotment for the first workload is underutilized, and a second duration when the SLO allotment is being utilized. The SLO allotment is dynamically adjusted for the first duration by modifying a parameter associated with the performance parameter, while maintaining the SLO allotment for the second duration. This makes additional performance capacity of the resource available for re-allocation. The additional available performance capacity is dynamically allocated for an identified second workload that needs an increase in SLO allotment for a certain duration and/or for provisioning a new workload.

Patent Agency Ranking