I'll help you troubleshoot your AWS SageMaker model integration with SnapLogic. Let me search for specific information about SageMaker integration and common issues with the HTTP Client snap and AWS Signature V4 authentication.
Based on the search results, I can help you troubleshoot your AWS SageMaker model integration with SnapLogic. Here are the key considerations and potential solutions for your setup:
## Account Configuration
Your approach using the **HTTP Client Snap** with an **AWS Signature V4 Account** is correct for SageMaker integration. Here's what you need to ensure:
### AWS Signature V4 Account Settings
Make sure your account is configured with these essential fields:
- **Access Key ID**: Your AWS access key
- **Secret Key**: Your AWS secret key
- **AWS Region**: The region where your SageMaker model is deployed (e.g., us-west-2)
- **Service Name**: Set this to sagemaker (not S3)
- **Security Token**: Only needed if using temporary credentials (STS)
### Common Issues and Solutions
1. **Service Name Configuration**
- For SageMaker, set the **Service Name** field to sagemaker in your AWS Signature V4 Account
- This is crucial for proper signature generation
2. **Regional Endpoint**
- Ensure your **Service URL** in the HTTP Client Snap points to the correct SageMaker regional endpoint
- Format: https://runtime.sagemaker.<region>.amazonaws.com/endpoints/<endpoint-name>/invocations
3. **IAM Permissions**
- Verify your AWS user/role has the necessary SageMaker permissions:
- sagemaker:InvokeEndpoint
- Access to the specific SageMaker endpoint
- S3 permissions for reading input and writing output files
4. **Certificate Issues**
- If you encounter SSL certificate errors, you can select the **Trust all certificates** checkbox in your account settings as a temporary solution
- For production, ensure proper certificate validation
### HTTP Client Snap Configuration
For SageMaker model invocation:
- **Request Method**: POST
- **Service URL**: https://runtime.sagemaker.<region>.amazonaws.com/endpoints/<your-endpoint-name>/invocations
- **HTTP Headers**:
- Content-Type: application/json (or appropriate content type for your model)
- Accept: application/json
### Troubleshooting Steps
1. **Test Account Validation**: Validate your AWS Signature V4 Account to ensure credentials are working
2. **Check SageMaker Endpoint Status**: Verify your SageMaker endpoint is in "InService" status
3. **Review IAM Policies**: Ensure your AWS credentials have the required SageMaker and S3 permissions
4. **Monitor CloudTrail**: Check AWS CloudTrail logs for authentication or authorization errors
### Alternative Approach
If you continue having issues with the HTTP Client approach, consider using the **AWS SageMaker Snap Pack** if available in your SnapLogic environment, which provides native SageMaker integration.
The key difference from your S3 integration is changing the **Service Name** from "S3" to "sagemaker" in your AWS Signature V4 Account configuration. This ensures the signature is generated correctly for SageMaker API calls.
