公开(公告)号：US10776091B1

公开(公告)日：2020-09-15

申请号：US15905342

申请日：2018-02-26

Applicant: Amazon Technologies, Inc.

Inventor： Timothy Allen Wagner ,  Marc John Brooker ,  Bryan Nicholas Moffatt ,  Robison Rodrigues dos Santos ,  Niranjan Jayakar

IPC: G06F9/44 ,  G06F8/41

Abstract: Systems and methods are described for providing logging functionalities to code executing in an on-demand code execution system while minimizing the need to define such functionalities within the code. A logging endpoint is provided that can be called by an execution of code and passed information for logging. The logging endpoint can enrich the information with additional information, such as information regarding a state of an execution environment for the code (which additional information may not be accessible to the execution of code itself). The logging endpoint can then facilitate storage of the enriched logging information, such as by handling authentication to a storage endpoint. Thus, users of the system may author code that provides robust logging functionalities while minimizing the implementation of such functionalities within the authored code.

公开(公告)号：US10564946B1

公开(公告)日：2020-02-18

申请号：US15841143

申请日：2017-12-13

Applicant: Amazon Technologies, Inc.

Inventor： Timothy Allen Wagner ,  Bryan Nicholas Moffatt ,  Marc John Brooker ,  Robison Rodrigues dos Santos ,  Niranjan Jayakar

IPC: G06F9/44 ,  G06F8/41

Abstract: Systems and methods are described for managing dependencies among code in an on-demand code execution system in a manner that enables efficient execution of the code. A user may generate a task on the system by submitting code, which may reference additional code on the system. The system can determine a dependency graph for the submitted code, and generate packages for the task based at least partly on the dependency graph. On receiving a request to execute the task, the system can provision an execution environment with the packages, and execute the code of the task. The packages may be selected based on analysis of the dependency graph, such that execution of the task on the on-demand code execution system is expected to satisfy a desired execution metric, which may include a maximum time to begin executing code of a task subsequent to receiving a request to execute the task.

公开(公告)号：US10303492B1

公开(公告)日：2019-05-28

申请号：US15841132

申请日：2017-12-13

Applicant: Amazon Technologies, Inc.

Inventor： Timothy Allen Wagner ,  Marc John Brooker ,  Bryan Nicholas Moffatt ,  Robison Rodrigues dos Santos ,  Niranjan Jayakar

IPC: G06F9/44 ,  G06F9/445 ,  G06F8/41 ,  G06F9/54

Abstract: Systems and methods are described for managing provisioning of runtimes to execution environments within an on-demand code execution system. Different runtimes can include various software enabling execution of user-submitted code within the on-demand code execution system, potentially written in different programming languages. Each runtime can implement a pull-based request handler, such that when the runtime is provisioned within an execution environment, the runtime requests execution instructions from a management system on the on-demand code execution system. The management system can maintain a queue of execution instructions for each runtime, and can use a depth of each queue to manage the provisioning of environments with runtimes.

公开(公告)号：US10725752B1

公开(公告)日：2020-07-28

申请号：US15895449

申请日：2018-02-13

Applicant: Amazon Technologies, Inc.

Inventor： Timothy Allen Wagner ,  Bryan Nicholas Moffatt ,  Marc John Brooker ,  Robison Rodrigues dos Santos ,  Niranjan Jayakar

IPC: G06F9/44 ,  G06F8/41 ,  G06F16/182

Abstract: Systems and methods are described for managing dependencies among code in an on-demand code execution system in a manner that enables efficient execution of the code. A user may generate a task on the system by submitting code, which may reference additional code on the system. The system can determine a dependency graph for the submitted code, and generate multiple representations of the dependency graph, storing dependency code objects in different numbers of files. On receiving a request to provision an execution environment for the task, the system can select an appropriate representation based on an expected reuse of the files within different representations. For example, a representation of fewer files can be selected where expected future use is low, minimizing retrieval time but also potentially limiting reuse of code objects within the representation.