Amazon Technologies, Inc.

Venkatesh Vijayaraghavan

Craig Wesley Howard

Shubham Katiyar

Manigandan Radhakrishnan

Marc John Brooker

Ajay Nair

David Alexander Dunlap

Yilmaz Can Cecen

Oleksii Zakharenko

Vo Vuong

Meenakshi Vembusubramanian

Prashanth A Acharya

Kalyanaraman Prasad

Bryan Mark Benson

Andrew Thomas

Andrew Chen

Wenchuan Weng

Hatem Mohamed Moustafa Eyada

Methods, systems, and computer-readable media for customizable event-triggered computation at edge locations are disclosed. A request for content is received at an edge server from a client device. The content is sought from a content cache at the edge server or from an origin server coupled to the edge server. Processing of the request is initiated, comprising encountering an event. The event is associated with a function specified by a customer. The function associated with the event is executed at the edge server using process isolation. The content is generated based at least in part on execution of the function. The content is sent from the edge server to the client device.

Customizable event-triggered computation at edge locations

Methods, systems, and computer-readable media for read-only data store replication to edge locations are disclosed. A read-only data store is replicated to an edge server. A request for content is received at the edge server from a client device. The content is sought from a content cache at the edge server or from an origin server coupled to the edge server. Processing of the request is initiated, comprising encountering an event. The event is associated with a function specified by a customer, and the function specifies the read-only data store as input. The function associated with the event is executed at the edge server, including retrieval of data from the data store. The content is generated based at least in part on execution of the function. The content is sent from the edge server to the client device.

Read-only data store replication to edge locations

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

A processing device receives an event notification indicating a security configuration change of a cloud computing resource associated with a member account. In response, the processing device identifies a security policy associated with an administrative account corresponding to the member account and evaluates the security policy against the security configuration change to determine compliance with the policy. If not in compliance, the processing device generates a change event indicating a repair to the security configuration of the cloud computing resource to bring the security configuration into compliance with the security policy.

Firewall management service architecture

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

Growing community of inventors

Redmond, WA, United States of America

Venkatesh Vijayaraghavan