Seldon Core is an open-source platform designed to deploy machine learning models on Kubernetes. It provides a scalable and flexible way to manage and serve models, allowing for seamless integration into existing Kubernetes environments. Seldon Core supports a variety of machine learning frameworks and offers features like canary deployments, A/B testing, and advanced metrics.
When upgrading the Seldon Core model server, you might encounter issues such as deployment failures, unexpected behavior, or errors in the logs. These symptoms often manifest as incompatibility errors or version mismatch warnings during the upgrade process.
The primary root cause of model server upgrade issues is often the incompatibility between the new and old versions of Seldon Core. This can occur if the upgrade procedures are not followed correctly or if there are breaking changes between versions. It's crucial to ensure that all components are compatible and that the upgrade path is supported.
During an upgrade, you might see error codes related to version mismatches or deprecated features. Checking the logs for specific error messages can provide insights into what went wrong. For example, you might encounter errors like Failed to pull image
or Version mismatch detected
.
Before initiating an upgrade, ensure that you have:
Follow these steps to upgrade Seldon Core:
helm repo update
helm upgrade seldon-core seldon-core-operator --namespace seldon-system
kubectl logs -n seldon-system -l app=seldon-controller-manager
After completing the upgrade, validate that everything is functioning correctly:
If issues persist, consult the troubleshooting guide for further assistance.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)