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.
Matthew Erbs discusses the need for applying lessons learned building APIs for customers to the creation of internal APIs for the DevOps team.
Christina Camilleri talks about how social engineering can be used in conjunction with technical attacks to create sophisticated and destructive attack chains and shares some real world war stories.
Benjamin Wootton discusses doing DevOps in banking and financial institutions, providing advice on performing a DevOps transformation in such an environment.
Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.