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  • Yao Yue on Making Twitter's Pelikan Cache Fast And Reliable

    Yao Yue explains the motivation for building Twitter's Pelikan cache, how Pelikan differs from other caches, what to do and what to avoid when building reliably low latency software, and much more.

    Yao Yue on Making Twitter's Pelikan Cache Fast And Reliable
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    15:46
  • Erlang Inventors Talk Language Future

    In this interview Joe Armstrong and Robert Virding, co-inventors of the Erlang language, talk about the future of the language, including its use in web programming, its ability to scale and more. The duo also discuss Erlang support for NoSQL databases, running the language on the Java Virtual Machine (JVM) and comparisons with other languages such as Google’s Go.

    Erlang Inventors Talk Language Future
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    35:24
  • Nick Kallen Discusses Scala at Twitter

    Nick Kallen from Twitter is interviewed by Randy Shoup about Twitter’s use of the Scala programming language. Nick discusses using Scala to build high-performance and scalable network services (including FlockDB), the powerful dualism of Scala which combines the best of object-oriented and functional approaches and also provides his views on the tradeoffs between static and dynamic languages.

    Nick Kallen Discusses Scala at Twitter
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    18:09
  • Martin Odersky on the Future of Scala

    In this interview Martin Odersky, the creator of the Scala language talks about work on the next version of Scala and how the functionalities in the JVM help make Scala better. Odersky touches on how some of the most popular entities on the web, such as Twitter and LinkedIn use Scala. And he discusses the complexity of the language and its role as a functional and object-oriented language.

    Martin Odersky on the Future of Scala
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    36:59
  • What’s Next for jclouds?

    Adrian Cole discusses his jclouds project, which is an open source library that helps Java developers get started in the cloud and reuse their Java development skills. Cole also talks about some of the challenges of creating a cloud agnostic library, such as the use of different hypervisors and that various cloud implementations are written in different languages, such as VB, Python, Ruby, etc.

    What’s Next for jclouds?
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    21:02
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