Amazon Technologies, Inc.

Elton Victor Pinto

Brandon William Porter

Jacob Adam Gabrielson

Joshua Marc Burgin

Peter Varnum Commons

Llewellyn James Mason

Tyson Christopher Trautmann

David John Edwards, Jr

Scott James McKee

Venkat Srinath Vutphala

Tony Jay Lee

Mohamed A Aboubakr

Shivanischal Anand

Deepak Bhardwaj

Michael A Ibarra

Ayush Jitendra Sanghvi

Akshay Bharat Shah

Ziran Nie

Host systems for resuming operation of a virtual compute instance may be identified that support features enabled for the virtual compute instance. Virtual compute instance features may be enabled at runtime prior to a virtual compute instance being stopped. When a virtual compute instance is started again, these features may be used to identify a host system that supports at least these features so that when the virtual compute instance resumes operation on the identified host, the features can be enabled.

Identifying hosts for dynamically enabling specified features when resuming operation of a virtual compute instance

Techniques are described for enabling users of a cloud provider network to request the conditional termination of computing resources based on a forecasted availability of replacement capacity at a specified time or range of time in the future. A cloud provider network provides an application programming interface that can be used to make such requests, where the computing resources are hosted by the cloud provider network as part of a capacity pool shared by tenants of the cloud provider network. This type of request can be generated, for example, by a user desiring to terminate the use of some number of unproductive computing resources only if the user can be reasonably assured by the cloud provider network that capacity will be available at a future time when the user will likely need the capacity again.

Enabling conditional computing resource terminations based on forecasted capacity availability

This disclosure is directed to, in part, providing customers with an enhanced shopping experience during a visit to a physical store location. The enhanced shopping experience may include providing the customer with customized delivery of product information. The product information may include demonstrations of product use, samples of products, recommendations of related products or areas of interest to a customer, etc. To provide the customized information, the customer may register to be identified while at the physical store location. The physical store location may include sensors that identify a location of the registered customer. A presentation module may then push relevant content to a device located near the customer, possibly in response to a request from the customer and/or a location of the customer.

Enhanced customer shopping experience in physical store locations

Methods, systems and computer program products are disclosed for collecting and providing long-term reviews for items such as products and services. In an exemplary method, a first review for an item may be received from a reviewer over a communications network. A determination may be made as to when the reviewer will be a long-term reviewer for the item. After the reviewer is a long-term reviewer for the item, a second review for the item may be requested, and such a second review for the item may be received from the reviewer in response to this request. A request to view reviews for the item may also be received, and both the first and second reviews may be provided in response to this request.

Collection and provision of long-term customer reviews

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Seattle, WA, United States of America

Elton Victor Pinto