Ryan Lane talks about the concepts and tooling for wrangling identity, access management, and secrets (passwords, ssl certificates, access tokens, etc.) in cloud services.
Susan Potter describes a toolchain and principles for defining infrastructure in code, versioned with the code, providing repeatable configuration, ephemeral testing and consistent CI/CD environments.
David Greenberg discusses how Two Sigma was able to scale up their research to harness tens of thousands of CPUs and the challenges faced.
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 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.
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.