Sessions tagged with 'ruby'

While there are many ways to design compute clusters, leveraging fast message queueing for all facets of system operation may be among the most elegant. Topics will include job collection, automatic load balancing, analytics, monitoring, and scaling. Learn real-world best practices and gotchas discovered while scaling an AMQP-based document processing backend to support over 8 million users.
Steve Klabnik (Jumpstart Lab)
Presentations: external link,
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In this talk, Steve will explain how to design your APIs so that they truly embrace the web and HTTP. Just as there's an impedance mismatch between our databases, our ORMs, and our models, there's an equal mismatch between our applications, our APIs, and our clients. Pros and cons of this approach will be discussed, as well as why more people aren't building APIs this way yet.
David Copeland (LivingSocial)
Handling concurrency using events is getting a lot of focus these days, however it's not without its tradeoffs. By using powerful threading and concurrency libraries from the JVM, and the simple elegance of Ruby, developers can solve problems easily with maintainable and understandable code
Ian Dees (Tektronix)
Code metrics describe the properties of your source code: the patterns of test coverage, the complexity of individual parts, and so on. When used properly, they can shine a light into your project and help you make informed decisions. When abused, they can kill quality and teamwork. This talk discusses how to pragmatically apply common and ad-hoc measurements.

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