This flow is a simple linear workflow that verifies your AWS configuration. The
end steps will run locally, while the
hello step will run remotely on AWS batch. After configuring Metaflow to run on AWS, data and metadata about your runs will be stored remotely. This means you can use the client to access information about any flow from anywhere.
You can find the tutorial code on GitHub
Using the Client API to access data artifacts generated remotely in a local notebook.
Before playing this episode:
Configure your AWS sandbox
python -m pip install notebook
To play this episode:
python 05-helloaws/helloaws.py run
Open helloaws.ipynb in your remote Sagemaker notebook