Amazon Technologies, Inc.

Ian Aird Mosher

Martin Robert Frank

Felix Walter Blue Jodoin

Mark Sidney James Mansour

Sixiang Gu

Viraj Vijay Sanghvi

Geoffrey Eric Endresen

Brian Scott Cripe

Craig Vincent Kulfan

Bala Anirudh Kurakula

John Gilbert Focht

Daniel Arthur Sommerfield

Christopher Charles Battey

Jason Scott Wodicka

Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template&#x2014;generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Matching and enforcing deployment pipeline configurations with live pipeline templates

Analyzing deployment pipelines used to update production computing services using a live pipeline template process

Building deployment pipelines for a production computing service using live pipeline templates

Maintaining deployment pipelines for a production computing service using live pipeline templates

Described herein are systems, devices and methods for decrypting content based on location. A media device may decrypt content based on determination of a location-based decryption event. The location-based decryption event may include the media device being located within a location previously defined as authorized to decrypt the content. The location-based decryption event may also include the media device being located within a predetermined distance of a designated reference object.

Location based decryption

Techniques are described for generating text in a structured language, such as source code in a programming language, based on audio input. Audible tokens may be associated with higher-level constructs, including design elements such as methods, classes, design patterns, and so forth. Additionally, audible tokens may be associated with lower-level syntactic constructs of a programming language, such as programming language keywords, tokens, and so forth. Techniques may receive and parse the audio input including the audible tokens, and generate source code output. Techniques may also provide audio information indicating a development context that may otherwise be indicated visually in a development environment.

Audio input for structured languages

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Ian Aird Mosher