Sangeeta Narayanan looks at the role of containers in simplifying and increasing the reliability of the process of releasing and operating the Netflix software.
Kyle Anderson discusses details on how to tie Mesos, Docker, SmartStack, Haproxy, Git, and Sensu all together into a coherent system that developers can use to ship their code in a self-serve way.
D'Arcy Lussier discuses cloud computing, what has happened lately in this field, where it is going, with details on Azure, AWS, GCP, and others.
David Alpert shares 10 tips on streamlining the delivery pipeline to make the process fast and smooth.
Shiva Narayanaswamy discusses event driven architectures, serverless architectures, identity management and security related to building APIs in the cloud.
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.
Ray Tsang shares his experience in writing a custom metrics collector plus an autoscaler using Groovy and Spring Boot, deployed as containerized microservices in Kubernetes.
Mark Lines keynotes on the Disciplined Agile Delivery (DAD) framework, scaling an Agile strategy, and practices for successfully scaling Agile.
Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.
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.
Ted Young discusses the various tools one can use to manage and operate containers, what they do and what they are useful for.
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.