Batch job execution using compute instances

    公开(公告)号:US10296377B1

    公开(公告)日:2019-05-21

    申请号:US15275246

    申请日:2016-09-23

    Abstract: A computing resource service receives a request to execute a batch job. The computing resource service invokes a first compute instance to divide the batch job into a plurality of job fragments, where each job fragment comprises a respective subset of operations for the batch job that can be processed within a limited lifespan of a compute instance. The job fragments are distributed among a plurality of second compute instances to enable collective processing of the job fragments. The status of the batch job is determined based at least in part on individual statuses of the job fragments.

    Batch job execution using compute instances

    公开(公告)号:US10996984B1

    公开(公告)日:2021-05-04

    申请号:US15362375

    申请日:2016-11-28

    Abstract: Systems and methods for the execution and operation of compute instances and tasks to perform batch jobs on behalf of customers of a computing resource service provider. Batch jobs can be subdivided into job fragments that can be concurrently executed by compute resources instantiated by the computing resource service provider. The computing resource service provider utilizes control mechanisms in the form of a maximum concurrent job fragment thresholds to mitigate the potential impact of resource constraints associated with larger batch jobs.

    Intermediate batch service for serverless computing environment metrics

    公开(公告)号:US10454795B1

    公开(公告)日:2019-10-22

    申请号:US15466576

    申请日:2017-03-22

    Abstract: Devices and processes perform a metrics aggregation process within the context of a serverless compute environment that includes a fleet of execution environment containers for executing ephemeral functions. In response to receipt of triggering events, functions, registered to handle the events, are launched in separate execution environments of an event-driven compute service. The functions generate metrics that are sent to the execution environment via a call (e.g., via asynchronous call) to the execution environment, and the functions may retire, without saving execution state for the function, and before the execution environment passes the metrics to an intermediate metrics aggregation service. The metric aggregation system receives the metrics generated by the fleet of instances of the function from the plurality of execution environments of the event-driven compute service, batch processes the metrics into an aggregated record, and transmits the aggregate record to a metrics reporting service.

    Managing processor load in a multi-tenant environment

    公开(公告)号:US10862821B1

    公开(公告)日:2020-12-08

    申请号:US15184175

    申请日:2016-06-16

    Abstract: Approaches are described for managing workload, or other tasks in a data center, shared resource environment or other such electronic environment. In particular, a customer (or other end user, etc.) is able to use a computing device to submit a request to process information across at least one appropriate network to be received by a provider environment. The provider environment includes a set of resources (e.g., computing devices) operable to process the information for any of a variety of different purposes. Code can be deployed and executed at one or more of the host machines, wherein when executed, can enable the host machines to perform operations to process a workload in a distributed self-organizing manner, without a master server or other management device, to distribute work, handle situations where host machines go offline, etc.

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