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.
Itamar Syn-Hershko shows using various technologies -Storm, Node.js, Riemann, collectd, D3.js, ELK, PagerDuty, Slack - to power Forter’s service and keep it highly available and under control.
Mark Fisher and Patrick Peralta provide an overview of the Spring Cloud Data Flow architecture – including how it evolved out of Spring XD, deploying a streaming application in a live demo.
Sri Shivananda presents a case study on what it took to successfully separate PayPal’s technical infrastructure from eBay Inc. Sri shares key learnings applicable to engineers and developers.
Kris De Volder and Martin Lippert show how to work effectively with Spring projects in Eclipse and the Spring Tool Suite (STS). They demo all the latest enhancements in the tools.
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.
May Xu discusses the benefits and challenges of using DevOps in the enterprise and how to adopt it, covering business value discovery, people, principles, practices, the environment and metrics.
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.
Josh Evans uses the Netflix Operations Engineering team as a case study to explore the challenges faced by centralized engineering teams and approaches to addressing those challenges.