Seldon Core is an open-source platform designed to deploy machine learning models on Kubernetes. It allows data scientists and engineers to manage, scale, and monitor machine learning models in production environments. By leveraging Kubernetes, Seldon Core provides a robust infrastructure for deploying models as microservices, enabling seamless integration into existing workflows.
When deploying models using Seldon Core, you might encounter errors related to pulling the model server image. This issue typically manifests as a failure to start the model server pod, with error messages indicating problems with pulling the image from the container registry.
ErrImagePullImagePullBackOffThese errors suggest that Kubernetes is unable to retrieve the specified image for the model server.
The primary reasons for image pull errors in Seldon Core deployments are:
Ensure that the image name in your SeldonDeployment YAML file is correct. Double-check for typos or incorrect tags. The image name should follow the format registry/repository:tag.
To resolve image pull errors, follow these steps:
Ensure that the image name and tag specified in your deployment configuration are correct. You can use the following command to check the image details:
kubectl describe pod <pod-name> -n <namespace>
Look for the Image field under the container section to verify the image name and tag.
If the image is hosted on a private registry, ensure that your Kubernetes cluster has access to it. You may need to create a Kubernetes secret with the necessary credentials:
kubectl create secret docker-registry myregistrykey \
--docker-server=<your-registry-server> \
--docker-username=<your-username> \
--docker-password=<your-password> \
--docker-email=<your-email>
Then, reference this secret in your deployment configuration:
imagePullSecrets:
- name: myregistrykey
Ensure that there are no network policies blocking access to the container registry. You can review network policies using:
kubectl get networkpolicy -n <namespace>
For more information on troubleshooting image pull errors, refer to the following resources:
By following these steps, you should be able to resolve image pull errors and successfully deploy your models using Seldon Core.
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