Amazon Technologies, Inc.

Preston Alan Tamkin

Christopher David Byskal

Phillip Lloyd Dunham

Oleksiy Khudoliy

Jonathan Paul Thompson

Alexis Levasseur

Technologies are disclosed herein for generating a stand-alone client application for communicating with a network service based on a proprietary communication protocol. A service model description may be parsed to identify resources associated with the network service. Thereafter, executable program code may be generated describing the resources as a set of basic commands and pathnames. The program code may be packaged as the stand-alone client application without inclusion of program code for communication via the proprietary communication protocol.

Generating client applications from service model descriptions

A usage analysis service that obtains session events from application instances, updates usage metrics for the application instances according to the session events, and stores or updates aggregated usage metrics for each application according to the session events. Updates for the instance usage metrics may be partitioned according to instance identifier, collected in batches, and applied to respective instance records in an instances table by one or more instance update nodes. Updates for the aggregated usage metrics may be partitioned according to application identifier, collected in batches, processed to combine multiple updates, and applied to respective aggregate records in an application usage table by multiple application usage update nodes. The system may provide an interface that retrieves aggregated usage metrics from the application usage table and presents application usage information for the applications to consumers.

Partitioned batch processing for a usage analysis system

Techniques for content deployment, scaling and telemetry are described herein. Once a content item is made accessible for deployment, one or more instances of the content item may be installed as an image on a virtual machine instance. Additional instances of the content item may then be launched on the same virtual machine instance and/or by copying the image onto any number of additional virtual machine instances. One or more instances of a content item may be configurable to execute with multiple simultaneously assigned users sessions. Information associated with content item instances may be collected, such as a number of occupied user sessions, a number of unoccupied user sessions, content item instance duration, memory usage, and the like. This information may, in some cases, be used to match and assign authorized users to appropriate content item instances.

Content deployment, scaling, and telemetry

A data integrity monitor that implements a rules-based engine that applies rules to aggregated metrics generated by an analysis system to validate the integrity of the metrics. The rules may specify tolerances for particular metrics to help prevent false positives. An appropriate action or actions may be taken when a discrepancy is discovered. The data integrity monitor may perform the data integrity checks on copies of data accessed from a data store by consumers, which may reduce the number of accesses to the data store. The data integrity checks may be performed on copies of the accessed data 'offline' by the data integrity monitor so that latency is not introduced into the consumers' accesses of the information.

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Seattle, WA, United States of America

Preston Alan Tamkin