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    Customer resource monitoring for versatile scaling service scaling policy recommendations
    11.
    发明授权
    Customer resource monitoring for versatile scaling service scaling policy recommendations 有权

    公开(公告)号：US10409642B1

    公开(公告)日：2019-09-10

    申请号：US15359535

    申请日：2016-11-22

    Applicant: Amazon Technologies, Inc.

    Inventor： Kai Fan Tang ,  Ahmed Usman Khalid

    IPC: G06F9/50

    Abstract: A notification for an application stack is received, where the application stack includes a plurality of resource types. At least one policy associated with the notification is obtained, with the first policy being a policy for scaling a first resource of a first resource type and a second resource of a second resource type of the application stack. A first capacity for the first resource and a second capacity for the second resource is determined based at least in part on the at least one policy. The first resource and the second resource are caused to be scaled according to the first capacity and the second capacity respectively.

    BACKGROUND PROCESSES IN UPDATE LOAD BALANCERS OF AN AUTO SCALING GROUP
    12.
    发明申请
    BACKGROUND PROCESSES IN UPDATE LOAD BALANCERS OF AN AUTO SCALING GROUP 审中-公开
    自动扩展组的更新负载平衡中的背景过程

    公开(公告)号：US20160323197A1

    公开(公告)日：2016-11-03

    申请号：US14701518

    申请日：2015-04-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Marcel Robert Guzman ,  Norman Jordan ,  Shawn Jones ,  Ahmed Usman Khalid

    IPC: H04L12/911 ,  H04L12/26 ,  G06F17/30

    CPC classification number: H04L47/726 ,  G06F9/46 ,  G06F9/5083 ,  H04L41/0893

    Abstract: A computing resource service provider may provide computing instances organized into logical groups, such as auto-scale groups. Computing instances assigned to an auto-scale group may be associated with one or more load balancers configured to direct traffic to the computing instances. Furthermore, customers of the computing resource service provider may add or remove load balancer from the auto-scale groups. A background process may be used to add and remove computer instances of the auto-scale group form the load balancers customers are attempting to have added or removed.

    Abstract translation: 计算资源服务提供商可以提供组织成逻辑组的计算实例，例如自动缩放组。 分配给自动缩放组的计算实例可能与配置为将流量引导到计算实例的一个或多个负载平衡器相关联。 此外，计算资源服务提供商的客户可以从自动比例组添加或删除负载均衡器。 可以使用后台进程来添加和删除客户试图添加或删除的负载平衡器的自动缩放组的计算机实例。

    Vertical Scaling Of Computing Instances
    13.
    发明申请
    Vertical Scaling Of Computing Instances 审中-公开
    计算实例的垂直缩放

    公开(公告)号：US20160164738A1

    公开(公告)日：2016-06-09

    申请号：US14559823

    申请日：2014-12-03

    Applicant: Amazon Technologies, Inc.

    Inventor： Nikita Pinski ,  Derek Solomon Pai ,  Ahmed Usman Khalid ,  Eric Samuel Stone ,  Mai-Lan Tomsen Bukovec

    IPC: H04L12/24 ,  H04L12/26

    CPC classification number: H04L41/0896 ,  G06F9/5061 ,  H04L43/0888

    Abstract: Technology for scaling computing instances is provided. In one example, a method may include identifying vertical scaling rules defining a criterion for vertically scaling a computing instance from a first instance type to a second instance type. The method may further include monitoring usage of the computing instance and vertically scaling the computing instance from the first instance type to the second instance type based on the usage as compared to the vertical scaling rules.

    Abstract translation: 提供了缩放计算实例的技术。 在一个示例中，方法可以包括识别定义用于将计算实例从第一实例类型垂直地缩放到第二实例类型的标准的垂直缩放规则。 该方法还可以包括监视计算实例的使用并且基于与垂直缩放规则相比的使用将计算实例从第一实例类型垂直地缩放到第二实例类型。

    Versatile autoscaling for containers
    16.
    发明授权
    Versatile autoscaling for containers 有权

    公开(公告)号：US10397240B2

    公开(公告)日：2019-08-27

    申请号：US16195645

    申请日：2018-11-19

    Applicant: Amazon Technologies, Inc.

    Inventor： Christopher Thomas Lewis ,  Kai Fan Tang ,  Farzad Moghimi ,  Ahmed Usman Khalid ,  Stephan Weinwurm

    IPC: H04L29/06 ,  H04L29/08 ,  H04Q9/02

    Abstract: A scaling policy associated with a notification received by one or more computer systems is obtained. A first request is submitted, to a software container service, for a first current capacity of a resource. An amount by which to adjust a capacity of the resource is calculated, based at least in part on the scaling policy and the first current capacity. A second request is submitted, to the software container service, to adjust the capacity of the resource by the amount. A third request is submitted, to the software container service, for a second current capacity of the resource, and whether the second request has been fulfilled is determined based at least in part on a comparison between the second current capacity and the amount.

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