Approaches for deployment approval
    1.
    发明授权
    Approaches for deployment approval 有权
    部署批准方法

    公开(公告)号:US09438599B1

    公开(公告)日:2016-09-06

    申请号:US14231109

    申请日:2014-03-31

    Abstract: A deployment approval system receives, from a deployment tool, a deployment request for performing a deployment to a particular resource. The deployment approval system can identify at least one rule for approving or rejecting the deployment request based on one or more criteria. The deployment approval system can determine whether the deployment request satisfies the one or more criteria in the at least one rule to approve or reject the request. If the deployment request is approved, the deployment approval system sends an approval to the deployment tool to perform the deployment. The deployment tool can then perform the deployment and, once the deployment is complete, the deployment approval system can receive a confirmation of the deployment. The deployment approval system can then store data describing the deployment in an audit repository.

    Abstract translation: 部署审批系统从部署工具接收部署请求,以执行向特定资源的部署。 部署审批系统可以基于一个或多个标准来识别用于批准或拒绝部署请求的至少一个规则。 部署批准系统可以确定部署请求是否满足至少一个规则中的一个或多个标准以批准或拒绝该请求。 如果部署请求被批准,则部署审批系统向部署工具发送批准以执行部署。 然后,部署工具可以执行部署,一旦部署完成,部署审批系统就可以接收到部署的确认。 部署审批系统可以将描述部署的数据存储在审计存储库中。

    Machine learning based instance remediation
    2.
    发明授权
    Machine learning based instance remediation 有权
    基于机器学习的实例修复

    公开(公告)号:US09069737B1

    公开(公告)日:2015-06-30

    申请号:US13942625

    申请日:2013-07-15

    CPC classification number: G06F11/1484 G06F11/0709 G06F11/079 G06F11/0793

    Abstract: Computer systems, such as network computing resources systems, are subject to hardware and software errors. To improve error handling and troubleshooting, information relating to errors is collected from a multitude of computer system and analyzed. As a result of this analysis, troubleshooting errors in computer systems is improved and errors are remediated automatically.

    Abstract translation: 诸如网络计算资源系统的计算机系统受硬件和软件错误的影响。 为了改进错误处理和故障排除,有关错误的信息是从多个计算机系统收集并分析的。 作为此分析的结果,改进了计算机系统中的故障排除错误,并自动修复错误。

    Managing local storage devices as a service

    公开(公告)号:US10972355B1

    公开(公告)日:2021-04-06

    申请号:US15945619

    申请日:2018-04-04

    Abstract: Techniques for are described which enable users of a service provider network to manage local storage devices connected to computer systems of the service provider network as a service. A service provider network provides an application programming interface (API) that enables users to manage local storage devices in association with compute instances created by users using a hardware virtualization service of the service provider network. The API can be used to attach local storage devices to compute instances (that is, make local storage devices available for use as a block storage device), detach local storage devices from compute instances (that is, make local storage devices unavailable for use by a compute instance and possibly available for use by other compute instances on the same computer system), among other possible operations.

    Compute instance migrations across availability zones of a provider network
    6.
    发明授权
    Compute instance migrations across availability zones of a provider network 有权
    在提供商网络的可用性区域上计算实例迁移

    公开(公告)号:US09350682B1

    公开(公告)日:2016-05-24

    申请号:US14447519

    申请日:2014-07-30

    CPC classification number: G06F9/45558 G06F2009/4557 G06F2009/45575

    Abstract: A provider network may implement compute instance migrations across availability zones. Compute instances may be located in a particular availability zone of provider network that is implemented across multiple availability zones. A request may be received, from a client of the provider network or other component of the provider network, to migrate a compute instance that is currently operating for a client and located in one availability zone to another availability zone. A destination compute instance may be provisioned in the other availability zone based on a configuration of the currently operating compute instance. In some embodiments, other computing resources utilized by the currently operating compute instance, such as data storage resources, may be moved to the other availability zone. Migration may be completed such that the destination compute instance is currently operating for the client and the compute instance is not.

    Abstract translation: 提供商网络可以在可用区域之间实现计算实例迁移。 计算实例可以位于跨多个可用区域实现的提供商网络的特定可用性区域中。 可以从提供商网络的客户端或提供商网络的其他组件接收请求,以将当前为客户端操作并位于一个可用性区域中的计算实例迁移到另一个可用性区域。 可以基于当前运行的计算实例的配置在另一可用性区域中设置目的地计算实例。 在一些实施例中,当前操作的计算实例(例如数据存储资源)使用的其他计算资源可以被移动到另一可用性区域。 可以完成迁移,使得目标计算实例当前正在为客户端运行,并且计算实例不是。

    Deployment feedback for system updates to resources in private networks
    9.
    发明授权
    Deployment feedback for system updates to resources in private networks 有权
    用于系统更新专用网络资源的部署反馈

    公开(公告)号:US09503351B1

    公开(公告)日:2016-11-22

    申请号:US14565168

    申请日:2014-12-09

    CPC classification number: H04L41/28 H04L63/02 H04L63/18 H04L67/34

    Abstract: Deployment feedback for updates to resources implemented in a private network may be implemented. Feedback codes may be generated and included in deployments sent to a private network for deployment at resources implemented in the private network. One or more of the included feedback codes may be selected based on the performance of the deployment and provided via a feedback communication channel that is disconnected and distinct from the private network. Once received, a current status of the deployment may be determined based on the one or more feedback codes provided via the feedback communication channel.

    Abstract translation: 可以实现用于在专用网络中实现的资源的更新的部署反馈。 可以生成反馈代码并将其包含在发送到专用网络的部署中,以便在专用网络中实现的资源部署。 所包括的反馈代码中的一个或多个可以基于部署的性能并经由与专用网络断开连接并且不同的反馈通信信道来提供。 一旦接收到,可以基于经由反馈通信信道提供的一个或多个反馈码来确定部署的当前状态。

    Mitigating an impact of a datacenter thermal event
    10.
    发明授权
    Mitigating an impact of a datacenter thermal event 有权
    减轻数据中心热事件的影响

    公开(公告)号:US09146814B1

    公开(公告)日:2015-09-29

    申请号:US13975886

    申请日:2013-08-26

    Abstract: A ranking service can retrieve metrics from a metrics data store and use the metrics to determine a priority order in which to power down resources in a data center. Metrics from the data store can include a number of instances running on a host, a length of time that an instance has been operational, a type of instance, an amount of CPU use on a host, etc. The ranking service can also obtain other parameters from other sources. The parameters can include whether redundant or failover instances exist, the importance of the instances, whether the customer itself is considered important, other generic parameters from the customer account, a customer provided ranking of instances, etc.

    Abstract translation: 排名服务可以从衡量数据存储中检索度量,并使用度量来确定在数据中心中关闭资源的优先顺序。 来自数据存储的度量可以包括在主机上运行的多个实例,实例已经可操作的时间长度,实例的类型,主机上的CPU使用量等。排名服务还可以获得其他 来自其他来源的参数。 这些参数可以包括是否存在冗余或故障切换实例,实例的重要性,客户本身是否被视为重要,客户帐户中的其他通用参数,客户提供的实例排名等。

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