Cliff Click explains 0xdata's H20, a clustering and in-memory math and statistics solution (available for Hadoop and standalone), writing H20's memory representation and compression in Java, low latency Java vs GCs, and much more.
Keith Adams explains how/where/why Facebook uses PHP, PHP's benefits (lack of state/programmer workflow/concurrency), efficient PHP with HHVM, the Hack project for optional typing PHP and much more.
Eva Andreasson explains the various Hadoop technologies and how they interact, real-time queries with Impala, the Hadoop ecosystem including Hue, Oozie, YARN, and much more.
Laurent Sansonetti explains using Ruby for iOS development with RubyMotion, how Garbage Collection works in RubyMotion, the library ecosystem, the state of debugging and profiling, and much more.
Gil Tene talks about how to achieve low latency and responsiveness in Java applications despite the GC, how the GC in Azul's Zing helps, where low latency is crucial, and much more.
Rupert Smith explains how to write low-latency code on plain JVMs (not realtime VMs) and how to avoid GC pauses. Also: how to exploit the capabilities of FPGAs to improve performance.
Tim Ellison talks to Charles Humble about Lambda, extension methods, modularity, and plans for Java beyond Java 8
Attila Szegedi talks about performance tuning Java and Scala programs at Twitter: how to approach GC problems, the importance of asynchronous I/O, when to use MySQL/Cassandra/Redis, and much more.
Gil Tene talks to Charles Humble about different garbage collection techniques, and specific collectors including Azul's C4, IBM's Balanced GC, and Oracle's Garbage First, before moving on to discuss both the JCP and OpenJDK.
Terracotta creator Ari Zilka talks about about the RAM is the new disk and argues for scaling up before scaling out, comparing the architectural approaches of lots of VMs with small heaps vs. a few JVMs with very large heaps. Ari introduces BigMemory, a Java add-on to Enterprise Ehcache, which allows app designs with huge amounts of memory accessible in-process, with minimal garbage collection.
Aaron Patterson talks about performance in Ruby and Rails, some of the challenges Rails and Rack pose for the Ruby GC, and much more.
Justin Sheehy and Damien Katz discuss Riak and CouchDB, the strengths and trade-offs of different approaches to NoSQL, and why both databases are written in Erlang.