Fabrice Aresu discusses the challenges faced using HTML5 and data visualization at a large European Investment Bank, covering performance, architectural & design choices, and lessons learnt.
Benoît Chesneau discusses creating, scaling and reusing HTTP connections, summarizing techniques used to reduce memory usage in Erlang and ways to handle massive client connections efficiently.
Sponsored by Basho. Sean Cribbs discusses the theory behind several rich data types introduced with Riak 2.0 and then walking through some example applications that use them in popular languages.
Andy Davies, Aaron Peters present how networks, browsers and the way sites are built affect user experience, and take a look at some of the latest techniques for measuring and improving performance.
Sponsored by Azul. Gil Tene discusses issues with dynamically optimized environments used for trading systems along with techniques for dealing with them, including JVM performance tune up tricks.
Martin Thompson discusses the major steps in the evolution of Java and how it contrasts to alternative technologies, and the challenges of pushing the limits of performance.
Jonas Bonér discusses four key traits of Reactive Apps: Event-Driven, Scalable, Resilient and Responsive, how they impact application design, how they interact, related technologies and techniques.
Sponsored by Goldman Sachs. Java 8 has Streams, Scala has parallel collections, and GS Collections has ParallelIterables. Since we use parallelism to achieve better performance, it's interesting to ask: how well do they perform? We'll look at how these three APIs work with a critical eye toward performance. We'll also look at common performance pitfalls.
Rajeev Borborah, Matthew Wilson discuss using NoSQL at WebMD -architecture, benefits, roadmap-, with details on caching and key-value storage implementation behind a few of the WebMD applications: Physician Finder, Symptom Checker and WebMD Runtime.
Michael Dowden introduces JMeter and explains how to develop a data-driven methodology to determine some of the limits of a web application: max number of concurrent users, bottlenecks, etc.
In this solutions track talk, sponsored by Azul Systems, Gil Tene discusses common pitfalls encountered in measuring and characterizing latency, and ways to address them using some new open source tools.
Jonathan Worthington explains the garbage collection terminology, the trade-offs made by GC designers, and how to write GC-friendly code for better performance.
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