Simon Chan shares the on-going challenges, the design dilemma and the steps to be taken when building customized large-scale predictive ML applications on a ML SaaS platform.
Todd Montgomery investigates whether WebSockets, HTTP/2, Reactive Streams and microservices can deliver the high scalability, resiliency, and ease of development promised.
John Billings talks about winning over those skeptical about the benefits of microservices along with tips on caching, failure, interface changes, etc. for building a distributed system architecture.
Aysylu Greenberg revisits some features of modern distributed systems and shows three architectural patterns, their application, and reference papers that are relevant to today's distributed systems.
Peter Lawrey discusses the differences between microservices and monolith architectures, their relative benefits and disadvantages, patterns and strategies implementing low latency microservices.
Thomissa Comellas shares her experiences developing and rolling out new Disaster Recovery Testing techniques at Dropbox. Tammy Butow shares how her team runs DRTs and has implemented the techniques.
Steve Green discusses balancing emergent designs with intentional planning, common architecture principles, guidelines for measuring good architecture, and an evaluation of agile techniques.
Daniel Rolnick talks about the process Yodle went through adopting and deploying microservices, including database architectures and architectural patterns that emerged.
Chris Bartlow talks about how technology was used in the transformation of a storied organization with more than one hundred years of success, why they chose Pivotal and the results obtained.
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.