Amazon Technologies, Inc.

Apple Inc.

Yilmaz Can Cecen

Marc John Brooker

Craig Wesley Howard

Ajay Nair

Shubham Katiyar

David Alexander Dunlap

Venkatesh Vijayaraghavan

Manigandan Radhakrishnan

Vo Vuong

Meenakshi Vembusubramanian

Daniel Ben Pollack

Jose A Lozano Hinojosa

Jingyao Zhang

Blerim Cici

Angus N Burton

Emad Omara

Aspects of the subject technology provide for shared experience sessions within a group communications session such as a video call. The shared experience session may be, as one example, a co-watching session in which the participants in the call watch a video together while in the call. Encrypted shared state data may be exchanged between the participant devices, with which the participant devices can provide synchronized and coordinated output of shared experience data for the shared experience session of the group communications session.

Encrypted shared state for electronic conferencing

An on-demand code execution environment present in points of presence (POPs) and in regions serviced by the POPs is provided herein. For example, a POP may receive a request to execute a task associated with user-defined code. If the POP determines that the computing resources necessary to execute a received task are not available or that the POP should not execute the received task for another reason (e.g., the task is not commonly received and the computing resources needed to execute the task are therefore best allocated for other requests), the POP can forward the task to a region that the POP services for execution by an on-demand code execution environment present in the region. The on-demand code execution environment present in the region can execute the task and forward the results of the execution to the POP for distribution back to a user device that requested the task execution.

Multi-region request-driven code execution system

An on-demand code execution environment present in points of presence (POPs) and in regions serviced by the POPs is provided herein. For example, a POP may receive a request to execute a task associated with user-defined code. If the POP determines that the computing resources necessary to execute a received task are not available or that the POP should not execute the received task for another reason (e.g., the task is not commonly received and the computing resources needed to execute the task are therefore best allocated for other requests), the POP can identify a region suitable for executing the task and forward the task to the identified region. An on-demand code execution environment present in the identified region can execute the task and forward the results of the execution to the POP for distribution back to a user device that requested the task execution.

Efficient region selection system for executing request-driven code

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Seattle, WA, United States of America

Yilmaz Can Cecen