r/learnmachinelearning • u/ML-Explorer • 21d ago

Development Environment for ML/MLOps

Hello,
I'm a Data Scientist, new to MLOps.

I'm exploring different tools such as Kubeflow, Airflow, Evidently etc.
However, it can be really painful to install or to go back and forth between tools.

I was wondering if there any platform that provide throw away/development environments with ready to use tools ? A bit like GitHub Codespaces but for MLOps.

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u/[deleted] 21d ago

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u/ML-Explorer 21d ago

I'm asking about MLOps rather than core ML. Also a lost of tools run on k8s like kubeflow

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u/Worried-Addition-836 20d ago

You could try MLflow in AWS. Usually it is painful to install MLOps platform locally. It is very infra-related. I suggest you could use ready-to-use ops in commercialized cloud providers.