InfoQ Homepage Scalability Content on InfoQ
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One to Many: The Story of Sharding at Box
Tamar Bercovici presents Box’s transition from a single MySQL database to a fully sharded MySQL architecture, all the while serving 2 billion queries per day.
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Which Is Easier? 100T-10M or 10M-1B
Zoltan Toth-Czifra shares scalability lessons learned at Softonic, a company that has developed and grew along with the Internet for over 15 years.
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Scaling out with Akka Actors
Joshua Suereth designs a scalable distributed search service with Akka and Scala using actors, and covering practical aspects of how to scale out with Akka’s clustering API.
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Making the Internet a Better Place: Scaling AppNexus
Mike Nolet shares lessons learned scaling AppNexus and architectural details of their system processing 30TB/day: Hadoop, DNS built in GSLB and Keepalived, and real-time data streaming built in C.
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MySQL Usage of Web Applications with 1 User and 100 Million
Peter Boros discusses a MySQL architecture useful for the majority of projects, backup, online schema changes, reliability and scalability issues, and basics of sharding.
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You Can Improve Scalability over 10 Years
Marton Anka shares lessons learned and technical details scaling LogMeIn over a decade.
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Building Modern Web Sites: A Story of Scalability and Availability
Sid Anand uses examples from LinkedIn, Netflix, and eBay to discuss some common causes of outages and scaling issues. He also discusses modern practices in availability and scaling in web sites today.
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Painful Success - Lessons Learned while Scaling Up
Jesper Richter-Reichhelm shares lessons learned from failures while scaling Wooga games to millions of daily users.
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Scaling at Dropbox
Rajiv Eranki shares the pains and lessons learned scaling up Dropbox from a few thousands to tens of millions of users.
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Keynote: Why Open Source and the Destruction of Jurisdiction Makes Scalability Possible
Theo Schlossnagle keynotes on the role of open source software and the breaking up of silos in the enterprise in creating scalable systems.
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Scaling Reddit from 1 Million to 1 Billion–Pitfalls and Lessons
Jeremy Edberg shares some of the lessons learned scaling Reddit, advising on pitfalls to avoid.
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Systems that Run Forever Self-heal and Scale
Joe Armstrong outlines the architectural principles needed for building scalable fault-tolerant systems built from small isolated parallel components which communicate though well-defined protocols.