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.
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.
Dave Farley discusses using acceptance testing to work quickly and effectively, building functional coverage for complex enterprise-scale systems, and managing and maintaining those tests.
Sam Adams talks about testing at LMAX Exchange, extending functional tests into live monitoring of production through isolation, and moving fast through incremental delivery, quality and automation.
Sangeeta Narayanan looks at the role of containers in simplifying and increasing the reliability of the process of releasing and operating the Netflix software.
David Alpert shares 10 tips on streamlining the delivery pipeline to make the process fast and smooth.
Steve Smith compares and contrasts different types of Feature Branching and Trunk Based Development, and explains why Continuous Delivery without Continuous Integration is not working.
Mark Lines keynotes on the Disciplined Agile Delivery (DAD) framework, scaling an Agile strategy, and practices for successfully scaling Agile.
Adam Krieger discusses improving CD: using feedback to improve customer satisfaction, treating DevOps as a responsibility, discovering the mindset and toolset necessary to deliver successfully.
Bridget Kromhout discusses how to work with the right level of abstraction with DevOps tooling, how different DevOps pieces fit together into a cohesive solution.
Mitchell Hashimoto shows how Terraform and Consul can be used together to easily deploy and scale large-scale containerized workloads using container runtimes like Docker.