The goal of DevOps is to promote developer flexibility and innovation with constant operational consistency and reliability. And, to bring developers and operations closer together for huge business gains.
Platform-as-a-Service (PaaS) is a very attractive option for many organizations striving to implement a DevOps approach. For developers, PaaS encourages innovative thinking and the freedom to choose from a consistent catalog of services. For operations, PaaS provides control over deployment, consistency, and adherence to IT policy.
Learn how to implement DevOps for Java™ EE applications when using a PaaS environment. The topics in this webinar include:
- An overview of DevOps and Java EE in PaaS environments.
- Using developer pipelines to achieve continuous integration.
- The challenges for achieving continuous delivery and DevOps.
This session includes a demo of how to build, deploy, and integrate a Java EE application using OpenShift and Jenkins.
Thomas Qvarnstrom, JBoss technology evangelist, Red Hat
Thomas Qvarnstrom is responsible for promoting the technical aspects of Red Hat® JBoss® Middleware, focusing on Red Hat JBoss Enterprise Application Platform and Red Hat JBoss Data Grid. He has been working in software development since 1998, for many different enterprises in various roles, such as developer, architect, and CTO.
Matt Hicks, director of software engineering, Red Hat
Matt Hicks is a founding member of the OpenShift by Red Hat team. He has spent more than a decade in software engineering, with a variety of roles in development, operations, architecture, and management. His real expertise is in bridging the gap between developing code and running it in production. An expert in IT and cloud-based architectures, he spends his time these days evolving OpenShift to use the power of cloud and make developers more productive.
Dan Juengst, Sr. product marketing manager, Red Hat
Dan Juengst, sr. product marketing manager for OpenShift by Red Hat, brings 20+ years of high-tech experience to Red Hat with expertise in grid computing, high-performance computing, and application performance. He’s worked as both customer and vendor at startups and enterprises, including roles at Sun Microsystems, SGI, Wily Technology, Terracotta, and Lockheed Martin, where he started his career computing hypersonic reacting airflows around Mach 30 flight vehicles. Dan holds a B.S. in physics from Davidson College and an M.S. in aerospace engineering from Georgia Institute of Technology.
Date: August 7, 2014
Time: 11 am ET
Audience: Business and Technical