Astrid Atkinson discusses approaches to making sure systems and organizations can support continuous innovation, from breaking systems into microservices to engineering for organizational resilience.
Jeffrey Fredrick talks about how human psychology works against successful Agile adoption and that seeking excellence in Agile development requires difficult emotional work.
Eric Evans introduces a few strategic design concepts and explains how they apply to development of microservices, as a tool for teams trying to grow large systems more coherently.
Michael Manapat talks about how to choose, train, and evaluate models, how to bridge the gap between training and production systems, and avoiding pitfalls.
Tammer Saleh talks about the mistakes made building microservices, when microservices are appropriate, where to draw the lines between services, performance issues, testing, debugging, failure, etc.
Jon Moore talks about distributed monotonic clocks (DMC) whose timestamps can reflect causality but which have a component that stays close to wall clock time.
Richard Warburton explains how to make effective use of Generics. Warburton sheds light on the planned changes in Java 10 using practical code examples at every step.
Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.
Aviran Mordo talks about how microservices and DevOps go hand in hand, and what it takes to operate and build a successful microservices architecture from development to production.
Sudhir Tonse discusses using stream processing at Uber: indexing and querying of geospatial data, aggregation and computing of streaming data, extracting patterns, TimeSeries analyses and predictions.
Alex Blewitt talks about Swift and looks at the open source project, how applications and libraries can be built, the differences between the different builds and how Swift works under the hood.
Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs.