Configure HTTPS/TLS for API

Before You Start #

• Obtain a server certificate and private key for the domain you want to use
  • GKE Walkthrough
• Optionally create a namespace for the HPE Machine Learning Inferencing Software deployment; if not set, the default namespace is used

How to Configure HTTPS/TLS #

1. Create a Kubernetes secret #

1. Create a Kubernetes secret with the server certificate and private key:

   AIOLI_TLS_SECRET_NAME=<your-secret-name>
   kubectl create secret tls ${AIOLI_TLS_SECRET_NAME} --cert=<path-to-cert-file> --key=<path-to-private-key> -n <namespace>

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2. Verify that the secret was created:

   kubectl get secret ${AIOLI_TLS_SECRET_NAME} -n <namespace>

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2. Update the deployment #

1. Update the deployment to use the secret:

   helm install mlis --values values.yaml --set tlsSecret=${AIOLI_TLS_SECRET_NAME} ...

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3. Configure the CLI to use HTTPS #

Update the AIOLI_CONTROLLER environment variable with the HTTPS URL:

export AIOLI_CONTROLLER=https://<IP-address>:80