John Northrup demonstrates how GitLab helps developers along their entire workflow from first commit, issue tracking, continuous integrations, and deployment into Pivotal Cloud Foundry.
Colin Humphreys talks about how the Cloud Foundry community deploys the distributed system powering the one of the most successful open source platforms, along with details on the tooling used.
Casey West uses twelve-factor app essay as a guide to discuss the do’s and dont’s of building and running containers, each factor providing an opportunity to consider avoiding certain anti-patterns.
David Xia explains how Helios testing framework drives integration tests and spins up self-contained environments during test runs, increasing Spotify’s code quality and successful deployments.
Craig Walls and Roy Clarkson introduce the capabilities provided by Spring Cloud Services and demonstrate how to deploy cloud native applications to Cloud Foundry.
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.
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.
Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.
Atlassian Hybrid Cloud/On-Premise Software Delivery and the Journey to 300,000 Applications in the Cloud
George Barnett discusses techniques for building the supporting infrastructure for a hybrid model, and how to make monitoring, deployment tools, and shared services work effectively.
Eberhard Wolff discusses the benefits of microservices and some of the advantages of creating smaller services instead of larger ones.
Adrian Cockcroft summarizes the differences and commonalities across some of the largest microservices deployments in production, showing how they are evolving.
Gabriel Monroy demonstrates using Deis to orchestrate Docker deployments, as well as Deis' integration with popular schedulers like Fleet, Mesos, and Kubernetes.