DATASTORE FOR AGGREGATED MEASUREMENTS FOR METRICS

    公开(公告)号:US20180131761A1

    公开(公告)日:2018-05-10

    申请号:US15865043

    申请日:2018-01-08

    CPC classification number: H04L67/1095 H04L67/1004

    Abstract: A computing resource monitoring service receives a request to store a measurement for a metric associated with a computing resource. The request includes the measurement itself and metadata for the measurement, which specifies attributes of the measurement. Based at least in part on the metadata, the computing resource monitoring service generates a fully-qualified metric identifier and, using the identifier, selects a logical partition for placement of the measurement. From the logical partition, the computing resource monitoring service transmits the measurement to an aggregator sub-system comprising one or more in-memory datastores. The computing resource monitoring service stores the measurement in an in-memory datastore within the aggregator sub-system.

    Automatic scaling of computing resources using aggregated metrics

    公开(公告)号:US09880880B2

    公开(公告)日:2018-01-30

    申请号:US14752760

    申请日:2015-06-26

    CPC classification number: G06F9/505 G06F9/5061 G06F9/5077 G06F9/5083

    Abstract: A computing resource monitoring service receives a plurality of measurements for a metric associated with an auto-scale group. Each measurement is associated with metadata for the measurement, which specifies attributes for the measurement. The computing resource monitoring service determines, for each measurement and based at least in part on the metadata, a fully qualified metric identifier for the measurement. The service partitions the plurality of measurements into a plurality of logical partitions associated with one or more in-memory datastores. The service transmits the measurements from the plurality of logical partitions to the one or more datastores for storage of the measurements. These measurements are provided to one or more computing resource managers for the auto-scale group to enable automatic scaling of computing resources of the group based at least in part on the measurements.

    Data storage and retrieval in redundant storage systems

    公开(公告)号:US10812587B1

    公开(公告)日:2020-10-20

    申请号:US14836897

    申请日:2015-08-26

    Abstract: A computing resource service receives a request to retrieve data, wherein fulfillment of the request involves retrieval of representations of the data from a number of datastores maintained by the service. The service transmits requests to individual datastores to retrieve the representations of the data. Before all responses to these requests are received, the service evaluates any received responses to determine whether a quorum has been reached with regard to the representations of the data. If so, the service consolidates the representations of the data and provides the consolidated data to fulfill the request.

    Datastore for aggregated measurements for metrics

    公开(公告)号:US09882982B2

    公开(公告)日:2018-01-30

    申请号:US14752754

    申请日:2015-06-26

    CPC classification number: H04L67/1095 H04L67/1004

    Abstract: A computing resource monitoring service receives a request to store a measurement for a metric associated with a computing resource. The request includes the measurement itself and metadata for the measurement, which specifies attributes of the measurement. Based at least in part on the metadata, the computing resource monitoring service generates a fully qualified metric identifier and, using the identifier, selects a logical partition for placement of the measurement. From the logical partition, the computing resource monitoring service transmits the measurement to an aggregator sub-system comprising one or more in-memory datastores. The computing resource monitoring service stores the measurement in an in-memory datastore within the aggregator sub-system.

    AUTOMATIC SCALING OF COMPUTING RESOURCES USING AGGREGATED METRICS
    7.
    发明申请
    AUTOMATIC SCALING OF COMPUTING RESOURCES USING AGGREGATED METRICS 有权
    使用聚合度量的计算资源自动调整

    公开(公告)号:US20160378552A1

    公开(公告)日:2016-12-29

    申请号:US14752760

    申请日:2015-06-26

    CPC classification number: G06F9/505 G06F9/5061 G06F9/5077 G06F9/5083

    Abstract: A computing resource monitoring service receives a plurality of measurements for a metric associated with an auto-scale group. Each measurement is associated with metadata for the measurement, which specifies attributes for the measurement. The computing resource monitoring service determines, for each measurement and based at least in part on the metadata, a fully qualified metric identifier for the measurement. The service partitions the plurality of measurements into a plurality of logical partitions associated with one or more in-memory datastores. The service transmits the measurements from the plurality of logical partitions to the one or more datastores for storage of the measurements. These measurements are provided to one or more computing resource managers for the auto-scale group to enable automatic scaling of computing resources of the group based at least in part on the measurements.

    Abstract translation: 计算资源监视服务接收与自动比例组相关联的度量的多个测量。 每个测量与测量的元数据相关联,该元数据指定测量的属性。 计算资源监视服务针对每个测量并且至少部分地基于元数据确定用于测量的完全限定的度量标识符。 服务将多个测量分割成与一个或多个内存中数据存储相关联的多个逻辑分区。 该服务将测量从多个逻辑分区发送到一个或多个数据存储以存储测量结果。 这些测量被提供给自动量表组的一个或多个计算资源管理器,以使得能够至少部分地基于测量来自动缩放组中的计算资源。

    Selecting and configuring metrics for monitoring

    公开(公告)号:US10475111B1

    公开(公告)日:2019-11-12

    申请号:US14745129

    申请日:2015-06-19

    Abstract: Technologies are disclosed herein for selecting and configuring metrics to monitor. The metrics available for monitoring are associated with computing resources provided by a service provider network. Instead of requiring a customer to manually determine the metrics that may be monitored, the service provider network may dynamically determine the metrics available for monitoring based on the infrastructure specified by the customer to execute in the service provider network. In this way, customers may not only select metrics related to the health of the computing devices (physical or virtual), the customer may also select metrics related to the software applications executing on the computing devices.

    Datastore for aggregated measurements for metrics

    公开(公告)号:US10270854B2

    公开(公告)日:2019-04-23

    申请号:US15865043

    申请日:2018-01-08

    Abstract: A computing resource monitoring service receives a request to store a measurement for a metric associated with a computing resource. The request includes the measurement itself and metadata for the measurement, which specifies attributes of the measurement. Based at least in part on the metadata, the computing resource monitoring service generates a fully-qualified metric identifier and, using the identifier, selects a logical partition for placement of the measurement. From the logical partition, the computing resource monitoring service transmits the measurement to an aggregator sub-system comprising one or more in-memory datastores. The computing resource monitoring service stores the measurement in an in-memory datastore within the aggregator sub-system.

    ARCHITECTURE FOR METRICS AGGREGATION WITHOUT SERVICE PARTITIONING
    10.
    发明申请
    ARCHITECTURE FOR METRICS AGGREGATION WITHOUT SERVICE PARTITIONING 有权
    没有服务分类的量度聚合的架构

    公开(公告)号:US20160380866A1

    公开(公告)日:2016-12-29

    申请号:US14752759

    申请日:2015-06-26

    CPC classification number: H04L47/783 H04L41/5009 H04L41/5061

    Abstract: A web server computer system receives a plurality of measurements for a metric from one or more computing resources associated with the web server computer system. Each measurement includes metadata for the measurement, which specifies attributes of the measurement. The web server computer system determines, for each measurement and based at least in part on the metadata, a fully qualified metric identifier for the measurement. The web server computer system uses the fully qualified metric identifier to partition the plurality of measurements into various partitions. Once completed, the web server computer system transmits a request to one or more aggregator sub-systems of a computing resource monitoring service to store the plurality of measurements.

    Abstract translation: web服务器计算机系统从与web服务器计算机系统相关联的一个或多个计算资源接收用于度量的多个测量。 每个测量包括用于测量的元数据,其指定测量的属性。 web服务器计算机系统针对每个测量并且至少部分地基于元数据确定用于测量的完全限定度量标识符。 Web服务器计算机系统使用完全限定的度量标识符将多个测量分割成各个分区。 一旦完成,web服务器计算机系统向计算资源监视服务的一个或多个聚合器子系统发送请求以存储多个测量。

Patent Agency Ranking