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    Documentation system
    2.
    发明授权
    Documentation system 有权
    文件系统

    公开(公告)号：US09514099B1

    公开(公告)日：2016-12-06

    申请号：US14293118

    申请日：2014-06-02

    Applicant: Amazon Technologies, Inc.

    Inventor： Raymond Robert Ringhiser ,  Dylan J. Proulx ,  Bharath Mukkati Prakash ,  Scot A. Marvin ,  Benjamin C. Bernard ,  Paul Lynn Plummer ,  Gregory L. Bowen ,  Stephen J. Matlock

    IPC: G06F17/30 ,  G06F7/00 ,  G06F17/21

    CPC classification number: G06F17/211 ,  G06F17/2229 ,  G06F17/2247 ,  G06F17/2288 ,  G06F17/30011

    Abstract: Disclosed are various embodiments for a documentation system. Documentation topics for publishing in a node are received from a client. Embodiments of the disclosure determine whether the documentation topic has been assigned a topic identifier. Topic identifiers are assigned if the documentation topic has not been assigned a topic identifier and the documentation topic is assigned to at least one node in the documentation system. The documentation topics are stored in a data store and the topic identifiers are transmitted to the client. The topics are then published in at least one node of the documentation system.

    Abstract translation: 公开了用于文件系统的各种实施例。 从客户端收到用于在节点中发布的文档主题。 本公开的实施例确定文档主题是否已经被分配了主题标识符。 如果尚未为文档主题分配主题标识符并将文档主题分配给文档系统中的至少一个节点，则会分配主题标识符。 文档主题存储在数据存储中，主题标识符被传送到客户端。 然后，这些主题将在文档系统的至少一个节点上发布。

    Anamoly detection and recovery of a corrupted computing resource
    4.
    发明授权
    Anamoly detection and recovery of a corrupted computing resource 有权

    公开(公告)号：US10397236B1

    公开(公告)日：2019-08-27

    申请号：US15376335

    申请日：2016-12-12

    Applicant: Amazon Technologies, Inc.

    Inventor： Kunal Chadha ,  Zaher Dannawi ,  Bharath Mukkati Prakash ,  Hardik Nagda ,  Anirudh Mattur Radhakrishna ,  Ashish Rangole ,  Chenxi Zhang

    IPC: H04L29/06 ,  G06F11/30 ,  G06F11/34

    Abstract: A customer's resources are protected from malicious or accidental deletion or termination. In some embodiments anomaly detection is used for identifying suspicious activities, which is combined with options to restore previously deleted resources. To define and detect anomalies, resource profiles are generated indicative of how resources are being used, and user profiles of how users use resources of the compute service provider. Instead of immediately deleting a resource, a temporary marker can be placed on the resource. The temporary marker blocks attempts to access the resource just as if the resource was deleted. However, the resource can easily be recovered by simply removing the marker. When a deletion event is identified as anomalous, an alert is generated to the customer. Upon receiving the alert, customers can opt to restore the resource that has been deleted, which will remove the marker.

    AUTO-TUNING PERMISSIONS USING A LEARNING MODE
    7.
    发明公开
    AUTO-TUNING PERMISSIONS USING A LEARNING MODE 审中-公开

    公开(公告)号：US20240223618A1

    公开(公告)日：2024-07-04

    申请号：US18604379

    申请日：2024-03-13

    Applicant: Amazon Technologies, Inc.

    Inventor： Jacob A. Kjelstrup ,  Bharath Mukkati Prakash ,  Brigid Ann Johnson ,  Ujjwal Rajkumar Pugalia

    IPC: H04L9/40 ,  G06N20/00

    CPC classification number: H04L63/205 ,  G06N20/00 ,  H04L63/105

    Abstract: Methods, systems, and computer-readable media for auto-tuning permissions using a learning mode are disclosed. A plurality of access requests to a plurality of services and resources by an application are determined during execution of the application in a learning mode in a pre-production environment. The plurality of services and resources are hosted in a multi-tenant provider network. A subset of the services and resources that were used by the application during the learning mode are determined. An access control policy is generated that permits access to the subset of the services and resources used by the application during the learning mode. The access control policy is attached to a role associated with the application to permit access to the subset of the services and resources in a production environment.

    Auto-tuning permissions using a learning mode
    8.
    发明授权
    Auto-tuning permissions using a learning mode 有权

    公开(公告)号：US11968241B1

    公开(公告)日：2024-04-23

    申请号：US16453931

    申请日：2019-06-26

    Applicant: Amazon Technologies, Inc.

    Inventor： Jacob A. Kjelstrup ,  Bharath Mukkati Prakash ,  Brigid Ann Johnson ,  Ujjwal Rajkumar Pugalia

    IPC: H04L9/40 ,  G06N20/00

    CPC classification number: H04L63/205 ,  G06N20/00 ,  H04L63/105

    Abstract: Methods, systems, and computer-readable media for auto-tuning permissions using a learning mode are disclosed. A plurality of access requests to a plurality of services and resources by an application are determined during execution of the application in a learning mode in a pre-production environment. The plurality of services and resources are hosted in a multi-tenant provider network. A subset of the services and resources that were used by the application during the learning mode are determined. An access control policy is generated that permits access to the subset of the services and resources used by the application during the learning mode. The access control policy is attached to a role associated with the application to permit access to the subset of the services and resources in a production environment.

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