InfoQ Homepage Performance Content on InfoQ
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Anomaly Detection, Fault Tolerance and Anticipation Patterns
John Allspaw discusses fault tolerance, anomaly detection and anticipation patterns helpful to create highly available and resilient systems.
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Data, Be Like Water
Paul Sanford presents the transformations supported by data throughout its life cycle, and how that can be better done with Splunk, an engine for monitoring and analyzing machine-generated data.
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Automatic Performance Programming?
Markus Püschel proposes to solve scientific calculation performance problems with code generation tools, introducing Spiral, an automatic performance programming framework for linear transforms.
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Building Offline Access to Websites Using HTML5
Israel Hilerio presents how to cache data locally with HTML5 technologies: IndexedDB, App Cache, DOM Storage and File API.
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Application Performance Monitoring with AMQP 1.0
Marc Borbas discusses the importance of Application Performance Monitoring, explaining how it can be done with AMQP.
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Everything I Ever Learned about JVM Performance Tuning @twitter
Attila Szegedi shares lessons learned tuning the JVM at Twitter, spending most of his talk discussing memory tuning, CPU usage tuning, and lock contention tuning.
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It's More than Just the Language
Lúcio Ferrão talks about making the software appealing to the business by using a visual language and an integrated environment supporting the entire life cycle of application development.
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Reliability Engineering Matters, Except When It Doesn't
Michael Nygard shares essential Reliability Engineering techniques that can keep systems from falling apart, but the discipline has some limitations to be considered.
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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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Concurrent Caching at Google
Charles Fry presents MapMaker, an in-memory caching solution on the JVM, discussing its API and implementation evolution along with internal details.
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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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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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