Peter Mounce discusses CD at JUST EAT, covering package contracts, feature toggling, team sizes and responsibility, AWS AutoScaling, ELB, CloudFormation, build scripts for server images, etc..
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.
Sangeeta Narayanan looks at the role of containers in simplifying and increasing the reliability of the process of releasing and operating the Netflix software.
John Sheehan presents choices – queues, proxies - helping a microservices architecture to stay robust and reliable, along with automation strategies allowing Runscope to deploy code 100 times a day.
Sangeeta Narayanan goes over how Netfix got to the current continuous delivery state, the lessons they learnt and the successes they enjoyed along the way.
Lisa Van Gelder provides simple tips and tricks for improving delivery without investing lots of time up front creating complex deployment frameworks.
Mitchell Hashimoto introduces Vagrant, Packer, Consul, Serf, explaining how they can help DevOps streamline the entire process from development through to production.
Dianne Marsh describes how Netflix' tooling, especially the continuous delivery system, allows developers to push the button for production deployment, and helps them to recover if necessary.
Avleen Vig discusses the changes Etsy has implemented to scale continuous deployments over the last 12 months, in both software and infrastructure.
Roy Rapoport discusses canary analysis deployment and observability patterns he believes that are generally useful, and talks about the difference between manual and automated canary analysis.
Joakim Recht discusses how Tradeshift moved from manual deployment processes to automation and what this means in terms of organizational scalability, technology, transparency, and culture.
Sponsored by Twilio. Matt Makai explores why deployments are difficult and shows solutions with case studies on how other organizations cut their production deployment times down from months to hours.