Encrypting Traffic to AI APIs with Certificate Map Entries

Question

Pulumi · Accepted Answer

To encrypt traffic to AI APIs (or any APIs) with certificate map entries, you would typically use a TLS/SSL certificate to enable HTTPS on the server where the API is running. This process generally involves creating a certificate, verifying domain ownership, creating a map entry, and then associating it with your service.

Google Cloud, for example, offers Certificate Manager resources that can help you accomplish this task. These resources include creating certificates, certificate maps, and certificate map entries which together help in defining how the certificates are served.

I will guide you through the creation of a certificate and a certificate map entry using Pulumi with Google Cloud Platform. The certificate is what enables the encryption, and the certificate map entry is a rule that will match incoming hostnames (e.g., your API's domain) and serve the appropriate certificates.

Here is a Pulumi program in Python that would set up a certificate and certificate map entry on Google Cloud:

```python
import pulumi
import pulumi_gcp as gcp

# Replace these values with your own data
project = 'my-gcp-project'
location = 'us-central1'
domain_name = 'my-api.domain.com'

# Creating a managed SSL certificate for your domain
managed_ssl_certificate = gcp.certificatemanager.Certificate('managed-ssl-certificate',
    project=project,
    location=location,
    name='managed-ssl-certificate-name',
    managed=gcp.certificatemanager.CertificateManagedArgs(
        domains=[domain_name]
    )
)

# Certificate Map to hold a collection of Certificate Map Entries
certificate_map = gcp.certificatemanager.CertificateMap('certificate-map',
    project=project,
    location=location,
    name='certificate-map-name'
)

# Certificate Map Entry which defines hostname and points to the certificate
certificate_map_entry = gcp.certificatemanager.CertificateMapEntry('certificate-map-entry',
    project=project,
    location=location,
    map=certificate_map.id,
    hostname='*.domain.com',
    name='certificate-map-entry-name',
    certificates=[managed_ssl_certificate.id]
)

# Export the URL of the managed SSL certificate
pulumi.export('certificate_url', managed_ssl_certificate.self_link)

# Export the details of the certificate map entry
pulumi.export('certificate_map_entry_name', certificate_map_entry.name)
```

In this program:

- We first create a managed SSL certificate (`managed_ssl_certificate`) for your API's domain. This certificate will automatically be renewed by Google Cloud Platform.
- We then create a certificate map (`certificate_map`) that holds a collection of certificate map entries. This helps in defining how the certificates are served.
- After that, we create a certificate map entry (`certificate_map_entry`) which maps the managed certificate to the corresponding hostname or wildcard hostname entry that you want to secure.
- Lastly, we export the URL of the managed SSL certificate and the name of the certificate map entry for your reference.

Make sure to replace `my-gcp-project`, `us-central1`, and `my-api.domain.com` with your actual project ID, desired location, and domain name respectively.

This program assumes that you've already configured your Google Cloud credentials and Pulumi for use. When you run the program using `pulumi up`, it will deploy these resources to your Google Cloud project and print the certificate URL and certificate map entry name as output.

Remember to have the Pulumi CLI installed and the GCP plugin. Once you have Pulumi set up, you can run this program, which will provision the resources as described above.