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# π ZenML Stack Show Case | |
This project aims to demonstrate the power of stacks. The code in this | |
project assumes that you have quite a few stacks registered already. | |
## default | |
* `default` Orchestrator | |
* `default` Artifact Store | |
```commandline | |
zenml stack set default | |
python run.py --training-pipeline | |
``` | |
## local-sagemaker-step-operator-stack | |
* `default` Orchestrator | |
* `s3` Artifact Store | |
* `local` Image Builder | |
* `aws` Container Registry | |
* `Sagemaker` Step Operator | |
```commandline | |
zenml stack set local-sagemaker-step-operator-stack | |
zenml integration install aws -y | |
python run.py --training-pipeline | |
``` | |
## sagemaker-airflow-stack | |
* `Airflow` Orchestrator | |
* `s3` Artifact Store | |
* `local` Image Builder | |
* `aws` Container Registry | |
* `Sagemaker` Step Operator | |
```commandline | |
zenml stack set sagemaker-airflow-stack | |
zenml integration install airflow -y | |
pip install apache-airflow-providers-docker apache-airflow~=2.5.0 | |
zenml stack up | |
python run.py --training-pipeline | |
``` | |
## sagemaker-stack | |
* `Sagemaker` Orchestrator | |
* `s3` Artifact Store | |
* `local` Image Builder | |
* `aws` Container Registry | |
* `Sagemaker` Step Operator | |
```commandline | |
zenml stack set sagemaker-stack | |
python run.py --training-pipeline | |
``` | |