Amazon Technologies, Inc.

Kevin Michael McCormick

Christopher Wiswall Greene

David Anthony Leen

Thomas Albert Faulhaber, Jr

Alex Kharbush

A service that provides serverless computation environments with persistent storage for web-based applications. Users of a web application are provided with persistent user-specific contexts including a file volume and application settings. Upon logging into the application via a web application interface, the service accesses the user's context and dynamically allocates compute instance(s) and installs execution environment(s) on the compute instance(s) according to the user's context to provide a network environment for the user. A network pipe may be established between the web application interface and the network environment. Interactions with the network environment are monitored, and changes to execution environments are recorded to the user's context. Compute instances may be deallocated by the service when not in use, with new compute instances allocated as needed. The user may select a different compute instance type for an execution environment, and the service seamlessly switches computer instances for the user.

Serverless computation environment with persistent storage

Techniques for query-based data modification are described herein. In some examples, a first search of searchable data may be performed based, at least in part, on a first query. A second search of the searchable data may be performed based, at least in part, on a second query. One or more results of the first search may be provided. Input may be received for associating a first result of the first search with the second search. At least a first modification, related to the input, to perform on the searchable data may then be determined. The first modification may then be performed on the searchable data.

Query-based data modification

Techniques for parsing and execution of data including multiple information classes are described herein. In some examples, a collection of data may include multiple information classes through which the data may be parsed and analyzed. In some examples, the multiple information classes may include a textual character information class, a visual style information class, and an inferred information class, such as may include data identifiable based on information external to the data collection. A plurality of tokens associated with the data collection may be generated. One or more of the plurality of tokens may be organized into a set of instructions. The set of instructions may be provided to a computer program for execution.

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Seattle, WA, United States of America

Kevin Michael McCormick