As more applications move to a DevOps model with CI/CD pipelines, the testing required for this development model to work inevitably generates lots of data. There are valuable insights hidden in this data that ML can help extract with minimal human intervention. Using open source tools like TensorFlow and Pandas we trained ML algorithms with real-life data from the OpenStack community’s CI system. We built a Kubernetes application that sets up a prediction pipeline to automate the analysis …