InfoQ Homepage Performance & Scalability Content on InfoQ
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Banking Case Study: Scaling with Low Latency using NewSQL
Jags Ramnarayan and Jim Bedenbaugh present the case of a bank who adopted SQLFire, covering the business requirements, the scalability issues, patterns used and the chosen solution.
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1,000,000 Daily Users and No Cache
Jesper Richter-Reichhelm shares the lessons learned while scaling their game platforms to handle millions of users, each game being built by small teams of two developers without dedicated ops.
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How We (Mostly) Moved from Java to Scala
Graham Tackley discusses how The Guardian switched all new development from Java to Scala, why they did that, what were the benefits and the problems, and why they did not choose Python+Django.
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Akka: Reloaded
Josh Suereth presents the new features available in Akka 2.0: clustered actors, including stateless and stateful ones, replication and the Cluster API.
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LMAX Disruptor: 100K TPS at Less than 1ms Latency
Dave Farley and Martin Thompson discuss solutions for doing low-latency high throughput transactions based on the Disruptor concurrency pattern.
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Max Protect: Scalability and Caching at ESPN.com
Sean Comerford unveils ESPN.com’s architecture, what components are used and why, and the current changes the website goes through.
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How to get the most out of Spring and Google App Engine
Chris Ramsdale shows how to build Spring apps on Google App Engine, covering performance Google SQL Service and other advanced topics.
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High Performance HTML5
Steve Souders discusses the impact of website speed on users providing advice on creating high performance HTML5 applications.
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Everything I Ever Learned about JVM Performance Tuning @twitter
Attila Szegedi discusses performance problems encountered at Twitter running Java and Scala applications, presenting how they solve them through JVM tuning.
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Implementing Scalable HA Architectures with Spring Integration
Gary Russell and David Turanski discuss creating HA architectures with Spring Integration using Cluster Controller and Strict Message Ordering, accompanied by demoes.
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Understanding Java Garbage Collection and What You Can Do about It
Gil Tene explains the workings of a garbage collector: terminology, metrics, fundamentals, key mechanisms, classification of current GCs, the “Application Memory Wall” problem, and details Azul C4 GC.
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Case Study: Riak on Drugs (and the Other Way Around)
Kresten Krab Thorup discusses a MySQL project that was moved to Riak for high availability, scalability and to run off multiple data centers, sharing the experiences, pitfalls and lessons learned.
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