Pieter Hintjens explains the basic techniques for building very large distributed systems using fast asynchronous messaging in general, and ZeroMQ specifically.
Ken Kousen advises Java developers how to do similar tasks in Groovy: building and testing applications, accessing both relational and NoSQL databases, accessing web services, and more.
Graeme Rocher talks through the latest Async features offered by Grails and how they can be used to create non-blocking REST APIs.
John Musser explains how to transform a good API into a great one based on his experience with thousands of APIs at ProgrammableWeb and API Science.
Ben Christensen describes how the Netflix API evolved from a typical one-size-fits-all RESTful API designed to support public developers into a web service platform optimized to handle the diversity and variability of each device and user experience. The talk will also address the challenges involving operations, deployment, performance, fault-tolerance, and rate of innovation at massive scale.
Kyle Boon reviews 3 frameworks for building RESTful WS- Grails, Dropwizard and Ratpack-, comparing their code readability, maintainability, deployment, metrics collection, scalability and testability.
Dan Woods discusses using Spring Integration and design patterns to implement a message-driven architecture in Grails to allow for better modularity, scalability, and code reusability.
Steve Pember discusses creating Grails applications integrating message broker technologies, especially RabbitMQ, and applying SOA principles.
Design, composition and performance are critical in creating software. What are we doing when we design software? In what ways is design taking things apart? What does this have to do with Clojure, languages and libraries in general? This talk will explore the nature of design and composition and how it impacts our approach to software development practice and tools.
Jeff Magnusson takes a deep dive into key services of Netflix’s “data platform as a service” architecture, including RESTful services that: provide comprehensive metadata management across data sources (Franklin); enable visualization and caching of results of Hadoop jobs (Sting); and visualize the execution plans produced by languages such as Pig and Hive (Lipstick).
Bobby Warner discusses the pros and cons of the available options that Grails developers have for creating RESTful APIs.
Andreas Ehn discusses using system components at Wrapp and Spotify.