Alan A Raddatz, 4220914 SE 7Th Pl, Redmond, WA 98074

8239513, Aug 7, 2012

Oct 26, 2011

13/281977

Ameesh Paleja - Lynnwood WA, US
Samuel S. Gigliotti - Seattle WA, US
Alan A. Raddatz - Seattle WA, US
Bradley M. Baron - Seattle WA, US

Amazon Technologies, Inc. - Reno NV

G06F 15/173

709223, 709224, 709229, 709232

Metrics may be gathered at various points of a media distribution system as digital media files are being transmitted to client devices. The metrics may be analyzed to determine whether the media distribution system is performing at an appropriate level. If it is determined that the media distribution system is not performing at an appropriate level, configuration changes may be made to the media distribution system to improve performance. Examples of configuration changes may include changing the number of servers or server instances that are being utilized, changing the quality of the files that are being transmitted, changing the amount of CPU resources being used, adjusting client priorities, and so forth.

8055749, Nov 8, 2011

Sep 30, 2008

12/242571

Ameesh Paleja - Lynnwood WA, US
Samuel S. Gigliotti - Seattle WA, US
Alan A. Raddatz - Seattle WA, US
Bradley M. Baron - Seattle WA, US

Amazon Technologies, Inc. - Reno NV

G06F 15/173

709223, 709224, 709229, 709232

Metrics may be gathered at various points of a media distribution system as digital media files are being transmitted to client devices. The metrics may be analyzed to determine whether the media distribution system is performing at an appropriate level. If it is determined that the media distribution system is not performing at an appropriate level, configuration changes may be made to the media distribution system to improve performance. Examples of configuration changes may include changing the number of servers or server instances that are being utilized, changing the quality of the files that are being transmitted, changing the amount of CPU resources being used, adjusting client priorities, and so forth.

2019034, Nov 14, 2019

Apr 4, 2019

16/375014

- Santa Monica CA, US
Alexander Rouse - Los Angeles CA, US
Alan Raddatz - Seattle WA, US
Kenley Capps - Irvine CA, US
Matthew Bakal - Los Angeles CA, US
Geoff Shaevitz - Los Angeles CA, US
Michael Burns - Marina Del Rey CA, US

G06Q 10/02
G06Q 30/02
G06Q 50/00
G06K 19/06
G06K 7/14
G06Q 30/06
G06F 3/0482
G06F 3/0488
G06F 3/0485
G06F 3/0484

Features are disclosed relating to a collaborative ticketing system that manages various aspects of ticketing for events (e.g., movies, concerts, sporting events, and the like) using knowledge about the contacts, friends, and other social connections of system users. The collaborative ticketing system may generate dynamic ticket offers that are based on the number of friends, invited by users, ultimately obtaining tickets. The collaborative ticketing system can also streamline the procurement of concessions and other event-related items by allowing users to pre-purchase such items (e.g., in connection with ticket offers), and then pick up the items at the event venue with little or no wait. In addition, users can preview event-related content (e.g., movie trailers) for event providers (e.g., movie studios), and answer questions or otherwise provide feedback about the event-related content in return for special offers, rewards, and other considerations.

2017018, Jun 29, 2017

Mar 10, 2017

15/456247

- Santa Monica CA, US
Alexander Rouse - Los Angeles CA, US
Alan Raddatz - Seattle WA, US
Kenley Capps - Irvine CA, US

G06Q 10/02
G06K 19/06
G06K 7/14

Features are disclosed relating to a collaborative ticketing system that manages various aspects of ticketing for events (e.g., movies, concerts, sporting events, and the like) using knowledge about the contacts of system users. The collaborative ticketing system includes a mobile application that includes a personalized user interface through which users can identify movies or other events to attend at specific venues. The mobile application provides functionality for users to publish information to their contacts about the events they want to attend, and to arrange group outings to selected events.

2016014, May 26, 2016

Apr 24, 2015

14/696296

- Santa Monica CA, US
Alexander Rouse - Los Angeles CA, US
Alan Raddatz - Seattle WA, US
Kenley Capps - Irvine CA, US

G06Q 10/02
G06F 3/0488
G06F 3/0485
G06F 3/0484
G06Q 50/00
G06F 3/0482

Features are disclosed relating to a collaborative ticketing system that manages various aspects of ticketing for events (e.g., movies, concerts, sporting events, and the like) using knowledge about the contacts, friends, and other social connections of system users. The collaborative ticketing system may generate dynamic ticket offers that are based on the number of friends, invited by users, ultimately obtaining tickets. The collaborative ticketing system can also streamline the procurement of concessions and other event-related items by allowing users to pre-purchase such items (e.g., in connection with ticket offers), and then pick up the items at the event venue with little or no wait. In addition, users can preview event-related content (e.g., movie trailers) for event providers (e.g., movie studios), and answer questions or otherwise provide feedback about the event-related content in return for special offers, rewards, and other considerations.