MLOps Best Practices

At Task-TS we aim to set broadly applicable standards to versioning, tracking, deploying, monitoring, and re-training models. Moreover, we want to show how software engineering and DevOps best practices can be synthesized with cutting edge ML-Research.

Reproducible Results In order for experiments to be reproducible three major things need to be met:

1. Data Versioning

   a. Store all data on a daily basis to GCS and Dataverse.

   b. Maintain historical versioned snapshots of data.

   c. Allow direct loading into flow from snapshot

2. Experiment tracking

3. Code versioning

** Extendibility Best Practices**