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Twitter optimizes OpenJDK/HotSpot for Scala
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Twitter-Scale Computing with OpenJDK
Twitter University
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- May be out of date. The tools, versions or practices it shows have likely moved on.
Intermediate. Assumes working knowledge.
6.8K views12 years ago1 recommendation
Systems programmingProgramming languagesPerformance and optimizationConcurrency and parallelism
David Keenan explains how Twitter optimizes and deploys OpenJDK and HotSpot to handle tens of thousands of requests per second.
When Twitter switched from Ruby/Rails to Java, it needed something that would scale to 10,000s requests/sec per VM, and OpenJDK fit the bill perfectly. Not only did it prove production-ready, but its openness enabled Twitter engineers to extend it and deploy it internally to run its data centers with huge advantages for both developer support and system efficiency. In this talk David Keenan tells us why and how Twitter develops and deploys OpenJDK. The talk will also discuss Twitter's future plans with contributing its work back to the OpenJDK community.Why it's here
1 person recommends thisWhat people say. Recommended for its insights into how Twitter optimized the JVM and HotSpot specifically for Scala workloads.