New Features

Launch GCP preemptible VM instances to orchestrate pipelines with OrchestratorGCPBackend. See full example here.
Train using Google Cloud AI Platform with SingleGPUTrainingGCAIPBackend. See full example here
Use Dataflow for distributed preprocessing. See full example here.
Run pipelines locally with SQLite Metadata Store, local Artifact Store, and local Pipelines Directory.
Native Git integration: All steps are pinned with the Git SHA of the code when the pipelines it was used in is run. See details here.
All pipelines run are reproducible with a unique combination of the Metadata Store, Artifact Store and the Pipelines Directory.

Bug Fixes

Metadata Store and Artifact Store specified in pipelines disassociated from default .zenml_config file.
Fixed typo in default docker images constants.