David Greenberg discusses how Two Sigma was able to scale up their research to harness tens of thousands of CPUs and the challenges faced.
Matt Ranney talks about Uber’s growth and how they’ve embraced microservices. This has led to an explosion of new services, crossing over 1,000 production services in early March 2016.
Jessica Kerr introduces Elm, focusing on its architecture: how it overturns what is essential in object-oriented and even back-end functional programming.
Phil Calçado talks about the patterns and techniques DigitalOcean has used over the years to migrate from a monolithic architecture to SOA and microservices.
Saul Caganoff discusses the different use cases for API consumption and the technical affordances API designers can provide to support those use cases.
Anne Currie talks about the architectural impact of containers, and what modern container schedulers mean for resilience, redundancy and server density.
Brandon Philips describes how bringing containers, schedulers, and distributed systems together will create more reliable and greatly more trusted server infrastructures.
Alan Ngai and Premal Shah discuss best practices on monitoring distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.
Daniel Bryant talks about the 2016 edition of the seven deadly sins in building microservices, some of the anti-patterns in microservices along with tools for avoiding them.
Emily Reinhold shares stories of how a rapid growth company broke up a monolith into a series of microservices, with practices and lessons that can save time and money.
Olaf Carlson-Wee explores micropayment and wealth storage use cases for bitcoin and examines cryptosystems used to facilitate micro-penny payments and secure $B in global bitcoin banks.