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You're reading from  Engineering MLOps

Product typeBook
Published inApr 2021
PublisherPackt
ISBN-139781800562882
Edition1st Edition
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Emmanuel Raj
Emmanuel Raj
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Emmanuel Raj

Emmanuel Raj is a Finland-based Senior Machine Learning Engineer with 6+ years of industry experience. He is also a Machine Learning Engineer at TietoEvry and a Member of the European AI Alliance at the European Commission. He is passionate about democratizing AI and bringing research and academia to industry. He holds a Master of Engineering degree in Big Data Analytics from Arcada University of Applied Sciences. He has a keen interest in R&D in technologies such as Edge AI, Blockchain, NLP, MLOps and Robotics. He believes "the best way to learn is to teach", he is passionate about sharing and learning new technologies with others.
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Maintaining the CI/CD pipeline

As you may recall, in Chapter 10, Essentials of Production Release, we mentioned that a model is not the product; the pipeline is the product. Hence, after setting up automated or semi-automated CI/CD pipelines, it is critical to monitor the performance of our pipeline. We can do that by inspecting the releases in Azure DevOps, as shown in the following screenshot:

Figure 13.18 – Maintaining CI/CD pipeline releases

The goal of an inspection is to keep the CI/CD pipeline in a healthy and robust state. Here are some guidelines for keeping the CI/CD pipeline healthy and robust:

  • If a build is broken, a fix it asap policy from the team should be implemented.
  • Integrate automated acceptance tests.
  • Require pull requests.
  • Peer code review each story or feature.
  • Audit system logs and events periodically (recommended).
  • Regularly report metrics visibly to all the team members (for example, slackbot or...
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Engineering MLOps
Published in: Apr 2021Publisher: PacktISBN-13: 9781800562882

Author (1)

author image
Emmanuel Raj

Emmanuel Raj is a Finland-based Senior Machine Learning Engineer with 6+ years of industry experience. He is also a Machine Learning Engineer at TietoEvry and a Member of the European AI Alliance at the European Commission. He is passionate about democratizing AI and bringing research and academia to industry. He holds a Master of Engineering degree in Big Data Analytics from Arcada University of Applied Sciences. He has a keen interest in R&D in technologies such as Edge AI, Blockchain, NLP, MLOps and Robotics. He believes "the best way to learn is to teach", he is passionate about sharing and learning new technologies with others.
Read more about Emmanuel Raj