Amazon Technologies, Inc.

Brian Kahrs

David J Whitney

Raleigh Harrison Upshur

Asa Denton

Donley Ray P'Simer

Shawn Galen Truesdell

Craig Andrew Noeldner

A resource tagging service allows resource tags to be created and associated with computing resources in a service provider network. The resource tags can be utilized to search, collect, filter, organize and otherwise manage computing resources in the service provider network having matching tags, and/or to perform other types of functionality. A resource groups service allows customers and/or other users of the service provider network to view and access collections of computing resources that share common resource tags and/or other attributes. Resource groups can also be evaluated in order to identify computing resources in a service provider network for which certain types of actions or other functionality is to be performed. Membership of resource groups can also be evaluated over time and inferences can be drawn from the membership and from operational information associated with the member computing resources.

Resource tagging and grouping

Technologies are disclosed herein for resource tagging, grouping and associated functionality. A resource tagging service allows resource tags to be created and associated with computing resources in a service provider network. The resource tags can be utilized to search, collect, filter, organize and otherwise manage computing resources in the service provider network having matching tags, and/or to perform other types of functionality. A resource groups service allows customers and/or other users of the service provider network to view and access collections of computing resources that share common resource tags and/or other attributes. Resource groups can also be evaluated in order to identify computing resources in a service provider network for which certain types of actions or other functionality is to be performed. Membership of resource groups can also be evaluated over time and inferences can be drawn from the membership and from operational information associated with the member computing resources.

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Seattle, WA, United States of America

Brian Kahrs