Draftkings, Inc.

Microsoft Technology Licensing, LLC

Dk Crown Holdings Inc.

Sophie Dasinger

Ethan Haskell

Edward Zaleski

Jonathan Nguyen

Daniel Kesack

William Hester

Corey Shtasel-Gottlieb

Jeffrey Earl Steinbok

Peter Kenneth Harwood

Jianfeng Cai

Nicola Greene Alfeo

Raj Moizbhai Dhrolia

Nir Zvi Yurman

Peter Erling Hauge

Sandeep Kumar

Systems and methods for prioritizing content packets based on a dynamically updated list of content filtering rules are described. A system is configured to identify an application executing on a client device to which to transmit content, the application associated with an account and determine that the application is configured with a configuration setting to apply a content filtering policy corresponding to a list of players including one or more players included in one or more lineups associated with the account. The system can receive a content item from a content source and determine one or more player tags associated with the content item. The system can determine that the content item includes a player tag corresponding to a player included in the list of players and transmit the content item to the client device for insertion in a content feed provided by the application responsive to the determination.

Systems and methods for prioritizing content packets based on a dynamically updated list of content filtering rules

Disclosed herein is a system for providing a test environment, composed of one or more virtual machines, to a developer instantly in response to a checkout request from the developer. To do this, a sandbox service implements a smart, tiered approach to creating and provisioning virtual machines that compose the test environments. The approach is flexible and elastic in nature, so that the developers do not have to wait an extended period of time for a test environment, yet the costs associated with configuring the virtual machines (e.g., storage and compute costs) are minimized. For example, the sandbox service can use historical data to predict a number of checkout requests expected for a first time interval (e.g., one day), a second time interval (e.g., thirty minutes), and a third time interval (e.g., five minutes). The sandbox service can then configure virtual machines into different states based on the predicted numbers.

Adaptive resource management for instantly provisioning test environments via a sandbox service

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Cambridge, MA, United States of America

Sophie Dasinger