John Davies walks through and demonstrates how to reduce latency while increasing throughput in applications, with demos using Java 8 and lambdas.
Diptanu Choudhury discusses the design of Netflix’ distributed scheduler based on Mesos and Titan, focusing on bin packing algorithms, scaling in and out of clusters, fault tolerance, and redundancy.
York Xyander, Bodo Junglas discuss strategies for service discoverability and transparent failover in a microservices architecture, how to achieve zero downtime and an auto-scaling architecture.
Sebastian Zarnekow discusses JVM internal optimizations, presenting how the JVM sees through code to apply techniques like inlining, loop unrolling and escape analysis at runtime.
Maurice Naftalin discusses stream performance problems and creates guidelines for getting the best performance from Java 8 streams.
Gil Tene provides an overview of JIT compiler optimization techniques and their impact on common market-open slowdown scenarios.
Niklas Gustavsson presents Spotify's 2-layer services, and how the UNIX philosophy of composing components that does a single thing well works on a greater scale.
Randy Shoup discusses modern service architectures at scale, using specific examples from both Google and eBay. He covers some interesting lessons learned in building and operating these sites.
Tony McCrary discusses HiDPI's impact on Eclipse software development, how to get the best performance on HiDPI devices, and what can be done to support HiDPI in the Eclipse platform and SWT.
Peter Lawrey discusses data-driven reactive systems, profiling latency distribution in such an environment, finding rare bugs, implementing resilience and monitoring.
Marc Hoffmann explores the technical details of compiled lambda expressions and method references which come with several performance benefits and could also be used for other JVM languages.
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