The authors keynote on Pivotal and Cloud Foundry, the role of women in software development, containers and broken culture, experiences shared by Comcast and City Bank building solutions with Pivotal.
Adrian Cockroft keynotes on the lessons learned so far on cloud computing and applying them to simplify future projects.
A keynote on the "circle of code" which represents the journey from idea to implementation to deployment and back to more ideas, and a demo of the latest features in Spring Boot 1.4.
Ryan Lane talks about the concepts and tooling for wrangling identity, access management, and secrets (passwords, ssl certificates, access tokens, etc.) in cloud services.
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.
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.
Neville Li and Igor Maravić cover the evolution of Spotify’s event delivery system, discussing lessons learned moving it into the cloud using Scio, a high level Scala API for the Dataflow SDK.
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.
Stephen Godwin describes how the BBC integrated its broadcast systems with AWS, how Video Factory is built around a microservices architecture that uses both REST and SQS.
Tim Pettersen covers Git LFS internals & architecture, CLI usage, team workflows and how to use it with Eclipse EGit, providing practical advice for those interested in using Git LFS.
Sid Anand discusses how Agari is applying big data best practices to the problem of securing its customers from email-born threats, presenting a system that leverages big data in the cloud.
Manuel Fahndrich describes how they tackled one particular resource allocation aspect of Google Cloud Dataflow pipelines - horizontal scaling of worker pools as a function of pipeline input rate.