Big TV Means Big Infrastructure and Big Data (ENT304) | AWS re:Invent 2013
To support their advanced Xfinity X1 platform and provide services to millions of customers, Comcast maintains physical data centers, but the company is increasingly relying on AWS as well; it plans to maintain both going forward. AWS supplies Comcast with resources on demand so that capacity issues in its brick-and-mortar sites can be more readily managed as part of its high-availability strategy. Comcast also employs AWS as a flexible, cost-effective platform for development and prototyping. Finally, AWS also helps Comcast make effective tactical and strategic use of the huge data streams generated by its customers’ use of its services. In this talk, we trace how Comcast uses AWS to mitigate risk and to open up new technical capabilities.
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Big TV Means Big Infrastructure and Big Data (ENT304) | AWS re:Invent 2013
- 1. Big TV Means Big Infrastructure and Big Data Jacques Louvet, Charlie Hammell, Comcast November 13, 2013 © 2013 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified, or distributed in whole or in part without the express consent of Amazon.com, Inc.
- 2. The X1Platform from XFINITY 2
- 3. The X1Platform from XFINITY (Video) http://platformuniv-p.edgesuite.net/dynamic/Comcast_Corp_Site/X1_Platform_-_Arc_showcase_-_Comcast_Cable__682582.mp4 3
- 6. X1 Leased CPE X1 Platform Set Top Box Ramp Target Jan 6 Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
- 8. Big Data
- 9. Millions of STBs DC 1 Head End DC 2 Head End DC 3 Head End DC n
- 11. Log MB per 48 hrs. 2,500,000 2,500,000 MB per 48 hrs 2,000,000 1,500,000 1,000,000 9,500 500,000 0 April January
- 12. Millions of X1 Set Top Boxes File Servers BI Tools
- 13. Cost
- 14. STB Logging: No Constraints X1 Set Top Boxes S3 Hadoop (EMR) S3 Data Warehouse Oracle Node Oracle Node Oracle Node Oracle Node Node Amazon Redshift BI Tools
- 15. No Constraints: Ingest and Storage
- 17. No Constraints: Processing Hadoop Map/ Reduce Script S3 S3 Map Worker Node buckets buckets Reduce Worker Node buckets Job Controller Map Worker Node buckets Reduce Worker Node buckets buckets Map Worker Node buckets buckets
- 19. What Did We Learn?
- 20. 60% Savings
- 21. What about You?
- 22. Please give us your feedback on this presentation ENT304 As a thank you, we will select prize winners daily for completed surveys!