Amazon Technologies, Inc.

Ioana Galis

David Edward Bryan

Kevin M Bailey

Prateek Tandon

Kypros Constantinides

Bryan Wiehardt

A server assembly service determines configurations for custom assembled servers based on time-series utilization metadata for servers executing workloads similar to workloads that are to be executed on the custom assembled servers. The server assembly service determines trends in the time-series utilization metadata and compares the identified trends to associations between workload utilization trends and application classes to determine one or more application classes for applications executing the workloads. The service uses the determined application classes to select server configurations for custom servers that are to be assembled to execute workloads similar to the workloads related to the server utilization metadata. In some embodiments, the service selects custom server configurations without access to applications or application data for workloads of concern. For example, the service may select custom server configurations without using profiling techniques that may intrude on customer privacy by requiring access to underlying applications or application data.

Custom server assembly

A portable server assembly system includes a container structure configured to be transported between data center locations, such as a shipping container. The portable server assembly system also includes a plurality of robots that are stowed in the container when being transported between data center locations, and that assemble servers when deployed at a particular data center location. In some embodiments, when a first data center location is substantially populated with servers assembled by the portable server assembly system (or another system), the portable server assembly system is re-deployed to another data center for use in assembling servers for populating the other data center.

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Fremont, CA, United States of America

Ioana Galis