Amazon Technologies, Inc.

Gautam Shanbhag

Gregory Branchek Roth

Gregory Alan Rubin

Christopher H Fant

David John Ward, Jr

Derek Solomon Pai

Michael R Foster

Christopher Brian Barclay

Zachary Mohamed Shalla

Ullas Sankhla

A data storage management process is directed to aspects of managing encrypted data via data storage volumes in conjunction with a service provider computer network that hosts virtual machine instances. A volume can be created and configured for managing encrypted data with an encrypted version of a volume key. The volume can be attached to a virtual machine instance such that the virtual machine instance accesses the volume in a transparent fashion based on the volume key. Encrypted data specific to the volume can be copied across multiple regions of data storage each associated with distinct encrypted versions of a volume key corresponding to the volume.

Management of encrypted data storage

A resource manager may monitor resources offered by a resource provider. The resource manager receives computing metrics from the resources and may perform a management action when a customer defined usage limit is satisfied. The management action may include the resource manager generating an alert, or the resource manager preventing the customer from further accessing the resources offered by the resource provider. The resource manager may also be used to reduce the cost of running a customer's application that uses resources offered by the service provider. The resource manager may also receive business metrics from the customer and determine rates of return using the business metrics and the computing metrics.

Resource manager

Embodiments of systems and methods are described for reducing latency during invoice generation involving credit distribution. In some implementations, references to invoice line items are sorted by supplemental charge rate and credits are applied to the invoice line items in decreasing supplemental charge rate order. An invoice is generated that includes the invoice line items and associated credits. The process of generating applying the credits is optimized to minimize latency and to provide the greatest financial benefit to the user.

Credit optimization to minimize latency

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Issaquah, WA, United States of America

Gautam Shanbhag