Amazon Technologies, Inc.

Nitin Sivakrishnan

William Wallace Allocca

Ram Cherukuri

Nandan Ulhas Telang

James Cade Bodley

Hugh Evan Secker-Walker

The systems and techniques described herein optimize processing of requests, such as external requests, internal requests or inter-service requests. In some examples, a service may interact with a client device and determine, based at least in part on a state of the interaction with the client device, a potential client request that may subsequently be received from the client device. The service may then perform one or more actions to at least partially fulfill the potential client request.

Optimization of production systems

A secure repository receives and stores user data, and shares the user data with trusted client devices. The user data may be shared individually or as part of bundled data relating to multiple users, but in either case, the secure repository associates specific data with specific users. This association is maintained by the trusted client devices, even after the data is altered by processing on the client device. If a user requests a purge of their data, the system deletes and/or disables that data on both the repository and the client devices, as well as deleting and/or disabling processed data derived from that user's data, unless a determination has been made that the processed data no longer contains confidential information.

Bounded access to critical data

The techniques described herein provide software testing of a candidate version of software. In some examples, an interceptor may perform an asynchronous and non-blocking intercept of at least one request to a production system and may provide the intercepted at least one request to a shadow proxy service as at least one shadow request. The shadow proxy service may process the shadow request by causing the at least one shadow request to be classified based at least one criteria. The processed shadow requests are logged. A selection may be made from among the logged shadow request to be replayed by the production system based on one or more criteria used to classify the shadow requests. The shadow proxy service may replay the selected at least one logged shadow request to the production system.

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Seattle, WA, United States of America

Nitin Sivakrishnan