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Kubernetes have been everywhere lately. Especially in the context of MLOps. I gave it a try by creating web app with Python Flask.

Running Flask frontend and backend in Kubernetes

Kubernetes has been everywhere lately. Especially in the context of MLOps to manage the plethora of different tasks such as training, serving and registering the models.

Google Colab, Databricks Community Edition, Visual Studio Code and Dcoker are some options to create a free data science workspace.

Free data science workspaces

I have written multiple blog posts about machine learning (ML) engineering and machine learning platforms. Those systems are usually target to productionize ML solutions, are somewhat big investments and focus on managing the whole ML lifecycle.

Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.

Comparison of machine learning platforms in major clouds

This blog post compares machine learning platforms from major cloud providers Azure, AWS and Google Cloud. Also Databricks platform has been included.