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Open Source MLOps

This project was created within the context of the master's thesis "Open Source MLOps: How to Unlock the Potential of Machine Learning". The project serves as additional validation step for the designed MLOps Architecture.

Installation

All setup steps were carried out with Ubuntu 20.04. Other Linux distributions are most likely also compatible, while macOS and Windows require adaptations.

Install Build Dependencies

Dependencies to Install the Python Project Locally (Optional)

If the python packages are intended to be use locally in addition to the Docker deployment, the following additional steps are necessary.

  sudo apt install cmake libprotobuf-dev protobuf-compiler build-essential libedit-dev libffi-dev
  curl https://pyenv.run | bash
  pyenv update
  pyenv install 3.10.4

Installation of Local Dagster-Repo

Install Build Requirements

curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -

Install Python Project

  cd ./code/dagster-repo

Change directory to the dagster-repo root folder.

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

COMPOSE_PROJECT_NAME AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY MINIO_BUCKET_NAME MLFLOW_POSTGRES_USER MLFLOW_POSTGRES_PASSWORD MLFLOW_POSTGRES_DB MLFLOW_S3_ENDPOINT_URL MLFLOW_TRACKING_URI DAGSTER_POSTGRES_USER DAGSTER_POSTGRES_PASSWORD DAGSTER_POSTGRES_DB DAGSTER_CURRENT_IMAGE

After the creation of your .env file run

docker-compose --profile mlflow --profile dagster up -d --build

Default Login Credentials

  • Minio
    • Username: minio_user
    • Password: minio_password
  • Grafana
    • Username: admin
    • Password: admin

Architecture Overview

MLOps Architecture Overview

Authors

Troubleshooting

'poetry install' error

setuptools not available

    × python setup.py egg_info did not run successfully.
    │ exit code: 1
    ╰─> [1 lines of output]
        ERROR: Can not execute `setup.py` since setuptools is not available in the build environment.
        [end of output]

The reason for this is often an outdated setuptools version. The solution is an update:

  poetry run pip install setuptools --upgrade

ModuleNotFoundError: No module named '_ctypes'

The reason for this is often that the 'libffi-dev' package was not installed at the time where the python environment where created.

  sudo apt install libffi-dev
  pyenv uninstall 3.10.4
  pyenv install 3.10.4