Large datasets in MySQL on Amazon EC2

Tags: ec2
Average rating: ***..
(3.50, 2 ratings)

Recorded Future use the Amazon Cloud not only to propagate the data to it’s customers around the world, no, all operations take place on servers in the cloud, including analyzing huge amount of web content, generationg searchable datasets, aggregating, storing, querying and retrieving aggregates and most other aspects of what Recorded Future does.

In this talk, we will look at how Recorded Future works with RC2. What the components and requirements are, how the infrastructure is laid out, how it works in real life and how it is maintained. Some real world advice on how to work in this environment is also given, along with some actual benchmarks numbers from an actual application such as Recorded Future.

Photo of Anders Karlsson

Anders Karlsson

Recorded Future

After nearly 7 years as a MySQL Sales Engineer, covering Scandinavia and BeNeLux, Anders Karlsson is now a Database Architect at Recorded Future, architecting the massive datastores that Recorded Future uses.

Anders specializes in SQL standards, database performance, GIS support, High Availability and Large Datastores.

Besides his day job, Anders also runs several websites in his spare time, supporting Swedish blues and rock bands, keeping track of the Swedish blues scene and documents festivals and gigs in pictures and by sound recordings.

  • 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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