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Home > AWS re:Invent 2015 > (GAM406) Glu Mobile: Real-time Analytics Processing og 10 MM+ Devices | AWS re:Invent 2015
Podcast: AWS re:Invent 2015
Episode:

(GAM406) Glu Mobile: Real-time Analytics Processing og 10 MM+ Devices | AWS re:Invent 2015

Category: Technology
Duration: 00:48:01
Publish Date: 2015-10-08 16:45:00
Description: Glu uses Amazon Kinesis, Apache Storm, S3, and Hadoop to collect billions of data points from millions of user devices in real-time every single day. This session describes how Glu built and configured an array of producers to submit real-time gaming events into Amazon Kinesis, using temporary tokens from Amazon Cognito, removing the need for an intermediate store-forward fleet. We then discuss how we've been able to easily integrate Amazon Kinesis with powerful open-source technologies such as Apache Storm and the Hadoop ecosystem. Finally, we discuss KCL optimizations and tradeoffs to manage a scalable, flexible, mission-critical streaming data platform.
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