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Machine Learning for Continuous Integration - Andrea Frittoli & Kyra Wulffert | ODSC Europe 2019
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Andrea Frittoli from IBD & Kyra Wulffert from Hewlett Packard were speaking at ODSC Europe 2019
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. There is Kubernetes application built with a participation of the speakers that sets up a prediction pipeline to automate the analysis of CI jobs in near real time. It uses the trained model to classify new inputs and predict insights like test results or hosting cloud provider.
In this talk, we present our experience training different ML models with the large dataset from OpenStack's CI and how this can be leveraged for automated failure identification and analysis. We also discuss how these techniques can be used with any CI system.
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Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops:
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#MachineLearning #Kubernetes #ODSC #DataScience
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. There is Kubernetes application built with a participation of the speakers that sets up a prediction pipeline to automate the analysis of CI jobs in near real time. It uses the trained model to classify new inputs and predict insights like test results or hosting cloud provider.
In this talk, we present our experience training different ML models with the large dataset from OpenStack's CI and how this can be leveraged for automated failure identification and analysis. We also discuss how these techniques can be used with any CI system.
Do You Like This Video? Share Your Thoughts in Comments Below
Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops:
Follow Us Online!
#MachineLearning #Kubernetes #ODSC #DataScience
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