Versatile autoscaling
    2.
    发明授权

    公开(公告)号:US10069869B2

    公开(公告)日:2018-09-04

    申请号:US15194479

    申请日:2016-06-27

    Abstract: In response to receipt of a notification from a third service, a scaling policy specified by a customer of a computing resource service provider to be associated with the notification is obtained, with the scaling policy including a set of parameters that includes an identity of a resource of a second service of the computing resource service provider. As a result of processing the scaling policy in accordance with the set of parameters, a request is submitted to a second service to scale the resource, and output is provided that indicates whether the scaling request has been fulfilled.

    Customer resource monitoring for versatile scaling service scaling policy recommendations

    公开(公告)号:US11347549B2

    公开(公告)日:2022-05-31

    申请号:US16565051

    申请日:2019-09-09

    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

    公开(公告)号:US20200007459A1

    公开(公告)日:2020-01-02

    申请号:US16565303

    申请日:2019-09-09

    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.

    MANAGING STATE FOR UPDATES TO LOAD BALANCERS OF AN AUTO SCALING GROUP
    7.
    发明申请
    MANAGING STATE FOR UPDATES TO LOAD BALANCERS OF AN AUTO SCALING GROUP 审中-公开
    管理国家为汽车衡量集团负载平衡的更新

    公开(公告)号:US20160323188A1

    公开(公告)日:2016-11-03

    申请号:US14701522

    申请日:2015-04-30

    CPC classification number: H04L47/125 H04L41/0816 H04L41/0893 H04L67/101

    Abstract: A computing resource service provider may provide computing instances organized into logical groups, such as auto-scaling groups. Computing instances assigned to an auto-scaling 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-scaling groups. The computing resource service provider may track a state of the load balancer in a database in order to enable efficient addition and removal of load balancers to auto-scale groups.

    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缩放组中添加或删除负载均衡器。 计算资源服务提供商可以跟踪数据库中的负载平衡器的状态,以便能够有效地添加和移除负载平衡器以自动调整组。

    CUSTOMER RESOURCE MONITORING FOR VERSATILE SCALING SERVICE SCALING POLICY RECOMMENDATIONS

    公开(公告)号:US20200004590A1

    公开(公告)日:2020-01-02

    申请号:US16565051

    申请日:2019-09-09

    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.

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