Daniel Solano Gómez shares 11 tips for drastically enhancing the performance of Clojure applications crunching numbers.
Alois Reitbauer explains why the server response time and synthetic transactions are not good enough performance indicators, presenting a way of measuring page performance as perceived by the user.
Patrick Debois discusses the current state of monitoring and metrics, how developers and the company can benefit from them, and how to improve the collection of metrics and the monitoring process.
John Allspaw discusses fault tolerance, anomaly detection and anticipation patterns helpful to create highly available and resilient systems.
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.
Martin Thompson and Michael Barker explain how Intel x86_64 processors and their memory model work along with low-level techniques that help creating lock-free software.
Markus Püschel proposes to solve scientific calculation performance problems with code generation tools, introducing Spiral, an automatic performance programming framework for linear transforms.
Marc Borbas discusses the importance of Application Performance Monitoring, explaining how it can be done with AMQP.
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.
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.
Attila Szegedi discusses performance problems encountered at Twitter running Java and Scala applications, presenting how they solve them through JVM tuning.
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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