Amazon Technologies, Inc.

Todd Vaughn Jonker

Andrew James Lusk

Chris A Suver

Kyle Bradley Peterson

Christopher Allen Suver

Michael James McInerny

Daniel Dwight Longley

Joseph Whitney Burnett

Methods, systems, and computer-readable media for implementing service-oriented system optimization using partial service relocation are disclosed. An optimized configuration is determined for the service-oriented system based on performance data. The optimized configuration improves a performance metric in the service-oriented system. A partial service is automatically generated based on an original service in a service-oriented system. The partial service includes a first set of program code from the original service and excludes a second set of program code from the original service. The first set of program code is included in the partial service based on its frequency of use. One or more instances of the partial service are deployed to the service-oriented system based on the optimized configuration.

Service-oriented system optimization using partial service relocation

Techniques are described for examining data that may be communicated to a recipient in an item such as a gift certificate. In some cases, the data may include personal information, financial data, or otherwise sensitive data. To prevent inadvertent leakage of sensitive data to unauthorized processes or individuals, the sensitive data may be placed in a portion of memory that is accessible by authorized software modules. The modules may execute in a container that has access to the portion of memory. In some cases, a module may expose functions that are callable from outside the container. The functions may examine the data to determine whether portions of the data comply with requirements. The return values of the functions may indicate the results of the examination of the data without communicating the examined data.

Containerized examination of sensitive data

A method and a system are provided for encoding and processing digital information. The digital information is encoded according to binary encoding formats corresponding to primitive data types. The primitive data types comprise scalar data types including Boolean, integer, float, decimal, time stamp, string, symbol, binary large object, and character large object data types. The primitive data types also comprise composite data types including structure, list, and S-expression data types. The binary-encoded digital information is stored in a message with a predetermined format for transmission. No metadata is included in the message.

Data format for processing information

A method and a system are provided for encoding and processing digital information. The digital information is encoded according to binary encoding formats corresponding to primitive data types. The primitive data types comprise scalar data types including Boolean, integer, float, decimal, time stamp, string, symbol, binary large object, and character large object data types. The primitive data types also comprise composite data types including structure, list and S-expression data types. The binary-encoded digital information is stored in a message with a predetermined format for transmission. No metadata is included in the message.

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Seattle, WA, United States of America

Todd Vaughn Jonker