ZenML is an extensible, open-source MLOps framework designed to create reproducible, production-ready machine learning pipelines. It simplifies the process of building, deploying, and managing machine learning workflows by providing a structured approach to pipeline creation and execution.
When working with ZenML, you may encounter an error message that reads: UNSUPPORTED_CLOUD_PROVIDER. This error typically arises during the configuration or execution of a ZenML pipeline that involves cloud resources.
The UNSUPPORTED_CLOUD_PROVIDER error indicates that the cloud provider specified in your ZenML configuration is not supported. ZenML integrates with specific cloud providers to facilitate seamless deployment and management of machine learning pipelines.
This issue occurs when a user attempts to use a cloud provider that is not currently supported by ZenML. This could be due to a typo in the configuration or an attempt to use a new or less common cloud service.
First, check the ZenML documentation to ensure that the cloud provider you intend to use is supported. ZenML typically supports major cloud providers like AWS, Google Cloud, and Azure.
If you find that your chosen provider is not supported, you will need to switch to a supported provider. Update your ZenML configuration file to reflect a supported cloud provider. For example, if you are using AWS, your configuration might look like this:
{
"cloud_provider": "aws",
"region": "us-west-2"
}
After updating your configuration, re-run your ZenML pipeline to ensure that the changes have resolved the issue. Use the following command to execute your pipeline:
zenml pipeline run
For more detailed guidance on configuring cloud providers in ZenML, refer to the ZenML Cloud Providers Guide. If you continue to experience issues, consider reaching out to the ZenML community for support.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)
