Shelby Switzer discusses success stories and failures of using the public data provided by governments, along with techniques for making such data usable.
Brennan Saeta talks about aspects of Coursera’s architecture that enable them to rapidly build sophisticated features for their learning platform, the use of containers and security-related issues.
Stephen Godwin describes how the BBC integrated its broadcast systems with AWS, how Video Factory is built around a microservices architecture that uses both REST and SQS.
Jamshid Mahdavi explains how WhatsApp has developed their server components, the deployment processes, and how they monitor, alert, and repair the inevitable failures in a billion-users service.
Tom Schindl reviews Eclipse 4’s API and architecture, pinpointing successes, failures and mistakes.
Brett Adam shares how Zendesk built an API-first company and some tips and tricks learned "from the field" on how to build an API that developers love.
Sadek Drobi talks about the prismic.io API and how to understand the properties and the mechanics of a system, and to partition its different dimensions to avoid a domino style failure cascade.
Mike Reyes and Mary Cole discuss the reasons for selecting Eclipse and RCP, how the move was made, challenges encountered during this move, and the benefits that have resulted from this change.
Peter Bakas presents in detail how Netflix has used Kafka, Samza, Docker, and Linux to implement a multi-tenant pipeline processing 700B events/day in the Amazon AWS cloud.
Runar Bjarnason presents how to get started with the Scalaz-Stream library, shows some examples, and how we can combine functional streams into large distributed systems.
David Staheli discusses approaches Microsoft is taking to plugin development, sharing experiences in reusing code across plugins for different IDEs, with demos of plugins in Eclipse, IntelliJ, and VS.
Sid Anand discusses how Agari is applying big data best practices to the problem of securing its customers from email-born threats, presenting a system that leverages big data in the cloud.