In my last post, I described how we use IBM UrbanCode Deploy to quickly and easily deploy server applications produced by each build. In this post I will describe how we are using those deployed applications to improve our automated testing and reduce the time it takes to validate the contents of a build. Quality […]
Previously I have focused on build performance in posts like Speeding up the pipeline by slowing down builds and Rethinking personal builds, but there is a lot more to a continuous delivery pipeline than build times. Once a build produces artifacts, you need to do something with them. Often the next step is to install […]
The following is the third posting in my Collaborative Lifecycle Management (CLM) Continuous Deployment series of blogs on Jazz.net. The earlier two blogs can be found at Improving throughput in the deployment pipeline and Behind the scenes of the CLM Continuous Deployment pipeline. In Behind the scenes of the CLM Continuous Deployment pipeline, I had […]
In a recent blog post, Pete Steinfeld casually mentioned that over the past year the time to build the full Collaborative Lifecycle Management (CLM) pipeline was cut in half, but didn’t elaborate on how that reduction was accomplished. Since I was involved with analyzing and improving the pipeline, I thought I would share, at a […]
The following is in continuation of the work I described in my previous blog posting at Improving throughput in the deployment pipeline. In my earlier post, I briefly described how the IBM Jazz Collaborative Lifecycle Management (CLM) project team is developing a deployment and test execution pipeline that is allowing us to identify key product […]
During the last 18 months, the IBM Jazz Collaborative Lifecycle Management (CLM) team has been undergoing a transformation around adopting continuous delivery best practices and methodologies, some of which you may already be aware of through our discussions at Jazz.net and this year’s Innovate conference. Through this blog, I want to share some of those […]