Deploying Python ML Models with Bodywork

Posted on Tue 01 December 2020 in machine-learning-engineering • Tagged with python, machine-learning, mlops, kubernetes, bodywork

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Solutions to Machine Learning (ML) tasks are often developed within Jupyter notebooks. Once a candidate solution is found, you are then faced with an altogether different problem - how to engineer the solution into your product and how to maintain the performance of the solution as new instances of data are …


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Deploying Python ML Models with Flask, Docker and Kubernetes

Posted on Thu 10 January 2019 in machine-learning-engineering • Tagged with python, machine-learning, machine-learning-operations, kubernetes

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  • 17th August 2019 - updated to reflect changes in the Kubernetes API and Seldon Core.
  • 14th December 2020 - the work in this post forms the basis of the Bodywork MLOps framework - read about it here.

A common pattern for deploying Machine Learning (ML) models into production environments - e.g. ML models …


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