Martina Iglesias Fernández discusses Spotify’s approach to documentation through automatic discovery of existing endpoints, service configuration, and deployment information at runtime.
Mārtiņš Kalvāns and Matti Pehrs overview the Data Infrastructure at Spotify, diving into some of the data infrastructure components, such us Event Delivery, Datamon and Styx.
Victor Gamov and Neil Stevenson present using Spring Data for a Hazelcast project, built on the KeyValue module and providing infrastructure components for creating repository abstractions.
Don Belcham shares from his experience working for a company where everybody works remotely, what they do about meetings, how collaboration works, and how it compares with a regular company.
Chun-Ho Hung and Nikhil Garg discuss Quanta, Quora's counting system powering their high-volume near-real-time analytics, describing the architecture, design goals, constraints, and choices made.
Mattia Battiston shares from his experience at Sky Network: what metrics they use, how they use them, what pitfalls they encountered and what little data they collect to get a whole lot of value.
Nikhil Garg talks about the various Machine Learning problems that are important for Quora to solve in order to keep the quality high at such a massive scale.
Bo Peng goes over how Datascope iterated on the major pieces of the Expert Finder application project to produce actionable insights and recommendations on methodologies.
Shakhina Pulatova overviews the Instant Search experience at LinkedIn and how they use Machine Learning to deliver personalized results as the query is typed.
Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.
John Rizzo introduces Twitch's chat's architecture, telling how their engineers investigated and worked through the issues in what turned out to be a make-or-break situation for the company.
Haley Tucker discusses how other systems may affect Netflix' services, strategies to protect their systems and make sure they won't fail even if things go wrong.