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.
Mads Torgersen discusses how C# is evolving, how the teams work in the open source space, and some of the future features and changes to the language (C# 7).
Tom Czarniecki overviews what's needed to consider when choosing DevOps tools for each stage in an application's lifecycle, as well as a small example of the tools.
Andrew Psaltis talks about Apache Beam, which aims to provide a unified stream processing model for defining and executing complex data processing, data ingestion and integration workflows.
Phil Calçado talks about the patterns and techniques DigitalOcean has used over the years to migrate from a monolithic architecture to SOA and microservices.
Andrew Spyker and Sharma Podila talk about the motivations and the technology powering container deployment on top of the AWS EC2 service, sharing results and lessons learned.
Chien Huey evaluates Marathon running on DC/OS as a replacement for Elastic Beanstalk and/or ECS in terms of functionality, ease of use as well as cost.
Chris Rohlf talks about how we look at offense in a world of large containerized deployments and ephemeral environments, explaining why the traditional model is no longer relevant.
Kief Morris discusses building and maintaining a testing and hosting infrastructure for microservices, explaining the creation of a cloud-based infrastructure with Packer, Terraform, and Ansible.
John Willis takes a look at the history of how Devops principles and operating systems have converged, and demos how containers, unikernels and Devops can work in the future.
Anne Currie talks about the architectural impact of containers, and what modern container schedulers mean for resilience, redundancy and server density.