Amazon Technologies, Inc.

Matthew John Hinkle

Anil M Kumar

Christopher Whitaker

Avinash Jaisinghani

Rajesh Viswanathan

Prashant Jayaraman

Jaykumar Harish Gosar

Prashant Prahlad

Adam M Thomas

Chetan Manohar Dandekar

Pete Peerapong Janes

Techniques are described for identifying 'out-of-band' modifications to an interrelated set of computing resources, also referred to herein as a computing resource stack, that was provisioned at a service provider network using an infrastructure modeling service. An infrastructure modeling service generally allows users to describe a computing resource stack in a text file or other type of descriptive representation, referred to herein as an infrastructure template, and to automatically provision computing resource stacks defined in templates at a service provider network. Users may at times make so-called out-of-band modifications to one or more computing resources of a provisioned computing resource stack, either inadvertently or in response to time-sensitive demands, where an out-of-band modification is made outside of the infrastructure modeling service.

Detecting configuration drift for computing resource stacks

Technologies are disclosed herein for providing an asynchronous fleet configuration service for deploying and updating a fleet of network resources. The asynchronous fleet configuration service exposes an asynchronous application programming interface (API) that allows for individual resources to indicate an initialization status. Accordingly, the asynchronous fleet configuration service can asynchronously monitor the status of individual resources being deployed or updated, while performing other duties related to the fleet of network resources.

Asynchronous fleet configuration service

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Seattle, WA, United States of America

Matthew John Hinkle