Amazon Technologies, Inc.

Anup P Pandya

Ramapulla Reddy Chennuru

Niti S Khadapkar

Srinivasan Ramkumar

Anupama Anand

Jagruti Patil

Raviprasad V Mummidi

Ekanth Sethuramalingam

Murtaza Muidul Huda Chowdhury

Ankit Kumar Jain

Yupeng Zhang

Miles Clark

Jaco Joubert

Murtaza Chowdhury

Malcom Featonby

Adnan Ijaz

Srivasan Ramkumar

Siddharth Padmanabhan Ramanarayanan

Techniques for automated defragmentation of licensed resources in a provider network are described. A defragmentation service in a provider network can detect the existence of intra-host fragmentation and/or inter-host fragmentation among host computing devices belonging to a host resource group of hosts dedicated to particular users. The defragmentation service can cause instances to be migrated to new locations within the host resource group to reduce or eliminate the fragmentation, allowing for hosts to beneficially be removed from the host resource group. The defragmentation service may determine which instances to be moved based on considerations involving software licenses associated with the host computing devices.

Defragmentation of licensed resources in a provider network

Techniques for managing customer license agreements are described. In one embodiment, a user-specified resource metric of a license model and a user-specified limit of the user-specified resource metric are obtained. A request for permission to launch a new compute resource at a computing device of the provider network is obtained from a service within a provider network. The new compute resource having a property that is an amount of the user-specified metric. A determination is made that a launch of the new compute resource would cause the user-specified limit to be exceeded, and the request the request to launch the new compute resource is denied.

Rule-based resource management system

Natural language commands are automatically mapped to application programming interface (API) functions of web-based services. Grammatical rules may be applied to the APIs in order to classify the actions of the APIs, in some embodiments, generating mappings between the natural language commands and the APIs. When a natural language input is received and a natural language command identified form the natural language input, the corresponding API indicated in the mapping may be invoked.

Automatically mapping natural language commands to service APIs

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San Jose, CA, United States of America

Anup P Pandya