Building and Deploying Large Scale Real Time News System with MySQL and Distributed Cache

Tao Cheng (AOL)
Tags: case_study
Presentation: external link
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Maintaining a constantly updated large data set alone is a big challenging not only to database administrators but also to developers as it is hard to maintain and expand. It adds more stress when the requirement is to serve real time data to heavy traffic websites.

In this presentation, we first examine the initial characteristics of AOL’s Real Time News system, the design strategy, and how MySQL fits into the overall architecture. We then review the issues encountered and the solutions applied when the system characteristics changed due to ever growing data set size and new query patterns.

In addition to common MySQL design, trouble-shooting, and performance tuning techniques, we will also share a heuristic algorithm implemented in the application servers to reduce the response time of complex queries from hours to a few milliseconds.

Photo of Tao Cheng

Tao Cheng

AOL

Software Architect, AOL Relegence.

Has great interest in internet related technologies. Current on large scale real time content management, delivery, and publishing systems. Worked on internet browser and messenger related client products in the ‘90s. Has a Master degree in Computer Science and a Bachelor degree in Applied Mathematics.

Love music, movies, books, ski, etc.

  • EnterpriseDB
  • Amazon Web Services
  • Clustrix
  • Continuent
  • Facebook
  • HTI Consultoria e Tecnologia
  • Monty Program
  • Percona
  • Rackspace Hosting
  • Schooner Information Technology
  • SkySQL
  • Xeround

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