In the age of scalable, elastic cloud infrastructure, six months to build and deploy an application is simply too long. Before, developers had to manually provision compute resources, configure their databases, and any of the other mundane tasks that slow down the work and add points of failure. But there is a better way.

This webinar demonstrates how distributed development teams can leverage Nebula Infrastructure-as-a-Service (IaaS) and Stackato private Platform-as-a-Service (PaaS) to speed up application delivery by enabling developers to build an application once and seamlessly deploy it across clouds in minutes.

Learn how to:

  • Deploy Stackato onto the NebulaOne cloud
  • Develop applications with a distributed team
  • Improve collaboration with other developers
  • Utilize tools like Jenkins and Github for continuous integration
  • Diagnose problems
  • Utilize Stackato‚Äôs distributed Log Streaming to manage logged data from across the cluster in real-time

Duration: 60 minutes


Gabriel Hurley, Platform Team Manager, Nebula Inc.

Gabriel Hurley manages the Platform Team at Nebula Inc. and was the lead developer for the Nebula One Console. He is deeply committed to open source; he has been a core developer for the both the OpenStack Identity and Dashboard projects, a core committer for the Django web framework, and a key contributor to the CTO and Open Government teams at NASA to create the first NASA Open Source Summit. His background is in dynamic web application development, interface design, and API development, with a focus on Python and JavaScript.

Phil Whelan, Technology Evangelist, ActiveState

Phil Whelan has been a software developer at ActiveState since early 2012 and has been involved in many layers of the Stackato product, from the JavaScript-based web console right through to the Cloud Controller API. Phil has been the lead developer on kato, the command-line tool for administering Stackato. Phil's current role is Technology Evangelist for Stackato. Prior to coming to ActiveState, Phil worked in London for BBC, helping build the iPlayer, and Cloudera in San Francisco, support Hadoop and HBase. He also spent time in Japan, where he worked for and met his wife. Phil enjoys working with big data and has built several large-scale data processing applications including real-time search engines, log indexing and a global IP reputation network. You can find Phil on Twitter at @philwhln, where you can ask him any questions about Stackato.

Watch the Free Webinar