Dave McCrory discusses what it takes to build an Enterprise Platform as a Service, covering data services, core application capabilities and design principles, CI, monitoring, coding standards, dependencies, security, and deployment.
Alex Raitt, Clive Saha present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software. They also discuss various technology stacks and their advantages, including batch-based processing, real-time analytics, and NoSQL systems.
Kirk Pepperdine explains how to use the G1GC logging to improve app performance while reducing its hardware footprint.
Duncan DeVore reviews the challenges of concurrent programming on the JVM and explores Akka, a toolkit and runtime for building highly concurrent, distributed applications on the JVM.
Nick O'Leary introduces Node-RED, an open source and browser-based environment for visually wiring together the many different streams that exist in the world of IoT.
Joakim Recht discusses how Tradeshift moved from manual deployment processes to automation and what this means in terms of organizational scalability, technology, transparency, and culture.
Glen Ford discusses how Zeebox applies and refines Lean: methods, experiments, discovery and feature teams, cultural challenges, innovation, etc.
Paul Fremantle discusses using WSO2 Identity Server for a federated identity for the Internet of Things.
Caolan McMahon covers the current state of offline support on the web, why offline is important, and discusses the design challenges posed by developing a first-class offline experience.
Simon Redfern presents how the Open Bank Project innovates by leveraging open APIs, open source and open data, making banking data more accessible via an ecosystem of apps and services.
Juergen Hoeller introduces Spring 4 and illustrates selected Java 8 features in interaction with Spring's programming model, exploring their immediate practical impact.
Nellwyn Thomas discusses how Etsy is using A/B testing, how Etsy's data-driven culture has evolved over time and how continuous delivery and big data can coexist.