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.
Sun Tan demos a prototype showing multi-editing and real-time collaboration from 3 different editors -Che, Orion, Eclipse- using a Flux microservice running inside a Che Docker runner.
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.
Eleanor McHugh discusses writing virtual machines using hardware emulation, including code snippets in Go and C.
Justin Cormack talks about the Docker unikernels build, ship and run pipelines and how the changes they are seeing lead to unikernels in production.
Mitchell Hashimoto takes a look at VMs, which solution architectures worked there, and discusses why these architectures are no longer adequate and what are the solutions in a containerized world.
Matthias Luebken gives an overview of typical patterns and best practices that he has seen in developing, deploying and operating applications that leverage containers.
Brennan Saeta talks about aspects of Coursera’s architecture that enable them to rapidly build sophisticated features for their learning platform, the use of containers and security-related issues.
Charles Lamanna talks about the scale and architecture of Microsoft’s Azure Management Gateway and how Azure API’s are built for high availability and for data sovereignty.
Jamshid Mahdavi explains how WhatsApp has developed their server components, the deployment processes, and how they monitor, alert, and repair the inevitable failures in a billion-users service.