Danny Lange presents Uber’s Machine Learning service that can perform functions such as ETA, fraud detection, churn prediction, forecasting demand, and much more.
Dariush Amir explores a novel solution to the problem of building access control for RESTful services in the industrial world.
C. Nemalipuri, L. Rastogi and R. Bennett talk about the approach that they chose to modernize their services and put them on a track towards a microservices based architecture running on Cloud Foundry
Vipul SavJani, Christopher Tretina talk about the challenges faced transforming of Comcast’s ESP from SOA architecture to Cloud-Native architecture using microservices, DevOps, and PaaS.
Ross Zhang and Jun Li talk about how they have successfully solved many puzzle pieces with migrating traditional Java enterprise applications using Spring Boot, Spring Cloud and Cloud Foundry.
Michael Uzquiano talks about how to scale an API to accept many items, how to evolve the Evolution of ReST over HTTP to transactional, asynchronous bulk operations and using polling.
Philip Glebow discusses patterns, tools and processes used by Gap for integration, messaging, data, and scaling on Cloud Foundry, sharing lessons learned and plans for the future.
Igor Wiedler discusses GIF topics: compression, patents, legal trials, boycotts, browsers, color palettes and binary numbers.
Mat Ryer takes a look at the code used for a real API running on Google AppEngine, discussing best practices for delivering modern web services.
Rob Valk introduces the JSON-API 1.0 spec, taking a look at JVM ecosystem support for the standard with the katharsis.io library and its integration with the Mule runtime.
Michael Wise discusses the journey from having data integrated across an organization, to employing data science to make good use of it.
Phil Calçado talks about the patterns and techniques DigitalOcean has used over the years to migrate from a monolithic architecture to SOA and microservices.