Gil Tene explains latency and how it relates to service and response times, measuring latency, common misconceptions about latency, what to do when a system's latency can't meet SLAs, and much more.
Performance engineer Monica Beckwith covers tuning java garbage collection, including: defining customer requirements; methodology; baselining and measurement; strengths and weaknesses of the different collectors; heap usage; causes of GC pauses; the distribution of pauses; tuning pause characteristics; going off-heap to avoid collection; scaling GC on multi-core and high memory machines.
Bryan Cantrill explains Triton (a way to run secure Linux containers on bare metal), the history of DTrace and ZFS and their (lack of) adoption on Linux, the relevance of OS R&D, Unikernels and more.
At Lean Kanban France 2014 David Anderson talked about the history of Kanban and new developments. InfoQ interviewed David on Kanban adoption, using Real Options with Kanban, the Modern Management Framework and about software for Enterprise Service Planning.
Ashley Puls explains Java bytecode manipulation: reasons for manipulating bytecode, libraries that help, how NewRelic is using it, and more.
Yoni Goldberg explains Gilt's architecture which consists of 350+ microservices, how teams decide the scope of a microservice, API design and management, monitoring, Scala at Gilt and much more.
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.
Todd Montgomery talks about improving serialization times and throughput can by understanding how your computer processes and stores data. With this new understanding, architects and developers can build their own protocols to efficiently transmit data. Todd's advice sheds new light on why software developers choose their current serialization and marshaling techniques and how they can improve.
Martijn Verburg discusses his new start-up jClarity, which offers performance tooling for the Cloud. He also provides an update on the Adopt a JSR and Adopt OpenJDK programs.
Jim Hirschauer describes the application monitoring tool landscape, KPIs and metrics to consider when monitoring, and compares monitoring traditional vs. cloud-based applications. He talks about performance considerations when instrumenting code, how organizations can be 'Smarter' about their Big Data, and looks at what's new in AppDynamics 3.7.
Bryan talks about the challenges of operating Node.js in real production environments and the experiences he had working with it at Joyent. He also talks about DTrace, SmartOS, V8 and compares with other platforms.
John Nolan shows the state of hardware acceleration with GPUs and FPGAs, why it's hard to write efficient code for them, and why to favor polymorphism over if statements for performance.