Patrick Bohrer and Chris Bailey present a preview of IBM latest cloud deployment configurations, Swift package-based cloud services, tools integration, and their plan to bring Swift to the server.
Max Rydahl Andersen explains how one can use Docker and Vagrant today with Eclipse to improve the local development experience and then cover how it all came together in the cloud and container space.
The authors present how lineage-driven fault injection evolved from a theoretical model into an automated failure testing system that leverages Netflix’s fault injection and tracing infrastructures.
Josh Evans discusses architectural patterns used by Netflix to enable seamless, multi-region traffic management, reliable, fast data propagation, and efficient service infrastructure.
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.
Dec 10, 2014
What's new in TeamCity 9
Jan 26, 2015