Alan Ho and Sandeep Murusupalli discuss the right type of protection (OAuth/Throttling) and monitoring (e.g. bot monitoring) needed to be put in place to properly manage microservices.
The authors discuss the top lessons learned from building a fully integrated developer platform, leveraging Cloud Foundry and OpenStack, answering questions from the audience.
Spencer Chan overviews Quora's architecture that allows them to share the majority of their application code across their Android, iOS and web apps, discussing challenges and benefits.
Manny Pelarinos talks about the tension of optimizing APIs for different experiences, while supporting hundreds of endpoints and many web and mobile applications at scale.
Caitie McCaffrey discusses the strategies for proving a correct system and less strenuous methods of testing, which can help increase our confidence that a system is doing the right thing.
Rachel Reese talks about the lessons she has learned at Jet.com on their way to developing the platform and how they’ve schooled themselves on what works and what doesn't for F# and microservices.
Olaf Carlson-Wee examines various novel cryptosystems used to facilitate the secure storage of billions of dollars in global crypto banks.
Rob Scherer and Rob Alford discuss the Design Sprint process used by Google Ventures, some of the changes made to it and lessons learned along the way.
Marcus Frodin discusses a few failures he has overseen at Spotify, deriving a framework of how to think about and evaluate what worked and what didn’t, and how to get more of the things that did.
Sean Cribbs discusses practical applications of academic research with a large scale distributed system, as well as membership and dissemination protocols and their application in practice.
Luke Kosewski describes Flow, how it adds value to a microservice architecture, what preconditions must be met for such a recovery mechanism to succeed, and tells the story of a 2015 Q4 outage.
Michael Hyatt discusses the main complains users have with APIs and ways to address them using early user acceptance testing, RAML, JSON schemas, traits and mocks.