Gil Tene provides an overview of JIT compiler optimization techniques and their impact on common market-open slowdown scenarios.
Ben Christensen discusses the mental shift from imperative to declarative programming, working with blocking IO such as JDBC and RPC, service composition, debugging and unit testing.
Tal Weiss explores five crucial Java techniques for distributed debugging and some of the pitfalls that make bug resolution much harder, and can even lead to downtime.
The panelists discuss the Scala compiler fork (typelevel.org): Is this a positive and natural outgrowth of a growing language or will this development cause irreparable rifts in the Scala community?
Alex Heusingfeld, Martin Eigenbrodt discuss some of the challenges creating microservices on JVM stacks with examples using Dropwizard, Spring Cloud and Play2 Scala.
Peter Lawrey discusses data-driven reactive systems, profiling latency distribution in such an environment, finding rare bugs, implementing resilience and monitoring.
Howard Chu covers highlights of the LMDB design and discusses some of the internal improvements in slapd due to LMDB, as well as the impact of LMDB on other projects.
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.
Todd Montgomery explores questions related to WebSocket, HTTP/2, CoAP, MQTT, XMPP, and the way these protocols change how services communicate.
Thirumala Reddy Mutchukota presents the Eclipse Job Groups API, its uses and sample implementations to parallelize lengthy operations in Eclipse.
Tyler Jewell introduces Eclipse Che, its architecture, how to create Java applications with it and provides a tutorial on building plug-ins and extensions to Che directly.
Justin Mclean introduces the Open Source Hardware, its communication protocols (RF, ZigBee, WiFi, Bluetooth) and the software/API layer (HTTP, WebSockets, Can Bus, COAPI and MQTT) used.
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