Amazon Technologies, Inc.

Warnermedia Direct, LLC

Nicolas Webb

Kadirvelu Rathnavelu

Simon Poile

Georgie Mathews

Calvin Yue-Ren Kuo

Yen-Lin Chen

Feng Wang

Jing Yang

Brandon Sislow

Victor Galis

Bradley C LeRoss

Serhii Kozak

Aeden Jameson

Shirley Zheng

Pam McCormack

Jiming Ye

Elias Mendel

Agnelo D'costa

Victor Gails

Chase Meador

A content distribution and optimization system that receives a plurality of event traffic bursts, generated by a first client computing device, in a first pod from a partition of a messaging bus. Messaging bus is partitioned based on a device identifier (ID) of the first client computing device and comprises a plurality of application launch timestamps. A filtering rule is configured for the device ID of the first client computing device for checking a rate limit of each event traffic burst. First set of event traffic bursts is blocked based on number of events exceeding a threshold value of rate limit of an event traffic burst generated by the first client computing device until a new fixed window is assigned. Event traffic communicated to a metrics aggregation controller is limited to pre-defined rate for the first client computing device. Enrichment of remaining second set of event traffic bursts is performed.

Content distribution and optimization system and method for limiting event traffic for client computing devices

Systems and methods are described for implementing a framework for testing on-demand code execution that is configured to be executed on coordinated devices. The testing framework allows the execution of tasks in a network based on-demand system. The resulting generation of an I/O file for accessing local resources can be intercepted and either processed via a handler process or transmitted to the local resource.

Testing of executable code for local device coordinator

Systems and methods are described for conducting data processing against a target data set in an on-demand code execution system. The on-demand code execution system can enable execution of user-provided executable code. The user-provided executable code is embedded in communications sent to a user. Each execution of the data processing code can process at least a portion of a data to determine content to be rendered in the communications. The resulting content is rendered and provided to the user.

Dynamic content generation with on-demand code execution

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Bothell, WA, United States of America

Nicolas Webb