Seldon Core Connection refused to model endpoint

What is Seldon Core Connection refused to model endpoint

Understanding Seldon Core

Seldon Core is an open-source platform designed to deploy, manage, and scale machine learning models on Kubernetes. It provides a robust framework for serving models in production environments, supporting various model formats and offering features like logging, monitoring, and scaling.

Identifying the Symptom

One common issue users encounter is the 'Connection refused to model endpoint' error. This symptom manifests when attempting to access a deployed model, and the request is denied, resulting in a failure to connect to the model's endpoint.

Exploring the Issue

Understanding the Error

The 'Connection refused' error typically indicates that the network request to the model's endpoint cannot be completed. This can be due to several reasons, such as network policies or service misconfigurations that prevent access to the endpoint.

Root Causes

Common root causes include:

Network policies that restrict traffic to the model's service. Misconfigured Kubernetes services or ingress resources. Firewall rules blocking external access.

Steps to Resolve the Issue

Step 1: Verify Network Policies

Check the network policies in your Kubernetes cluster to ensure they allow traffic to the model's service. Use the following command to list network policies:

kubectl get networkpolicy -n <namespace>

Ensure that there are no policies blocking access to the model's namespace or service.

Step 2: Inspect Service Configuration

Verify that the Kubernetes service for the model is correctly configured. Check the service details with:

kubectl describe svc <service-name> -n <namespace>

Ensure the service type (e.g., ClusterIP, NodePort, LoadBalancer) is appropriate for your use case and that the ports are correctly exposed.

Step 3: Review Ingress Resources

If you're using an ingress controller, ensure the ingress resources are correctly set up to route traffic to the model's service. You can list ingress resources with:

kubectl get ingress -n <namespace>

Check that the ingress rules match the service's hostname and path.

Step 4: Check Firewall Rules

If your cluster is hosted on a cloud provider, ensure that firewall rules allow traffic to the necessary ports. For example, in Google Cloud Platform, you can check firewall rules with:

gcloud compute firewall-rules list

Ensure that the rules permit traffic to the model's endpoint.

Additional Resources

For more detailed guidance on configuring network policies, refer to the Kubernetes Network Policies documentation. To learn more about setting up ingress controllers, visit the Kubernetes Ingress documentation.

By following these steps, you should be able to diagnose and resolve the 'Connection refused to model endpoint' issue, ensuring smooth access to your deployed models.