AI Workload Multi-Region Deployment with OCI DNS Views

Question

Pulumi · Accepted Answer

To set up a multi-region deployment for AI workloads in Oracle Cloud Infrastructure (OCI) using DNS views, we would typically proceed with the following steps:

1. Create multiple compute instances in different OCI regions to serve as our regional workload clusters.
2. Establish DNS Views to direct traffic to the appropriate regional endpoint based on the source of the DNS query.
3. Within each DNS View, configure DNS Resolver rules and associate them with appropriate view-specific zones to resolve the DNS queries accordingly.

Please note that prior to running this Pulumi program, you need to have the OCI provider configured with the necessary credentials. Also, you are responsible for ensuring that you comply with the regional laws and regulations for data storage and processing through your cloud infrastructure.

Now let's see how each of these steps can be coded using Pulumi to automate the infrastructure deployment.

```python
import pulumi
import pulumi_oci as oci

# The names of the regions where you want to deploy your infrastructure.
regions = ['us-ashburn-1', 'us-phoenix-1']

# Define Tags and compartment ID (replace with appropriate values).
defined_tags = {'TagNamespace': {'TagKey': 'TagValue'}}
freeform_tags = {'TagKey': 'TagValue'}
compartment_id = 'ocid1.compartment.oc1..exampleuniqueID'

# Step 1: Create regional instances for AI workloads
instances = []
for region in regions:
    instance = oci.core.Instance(f'ai-instance-{region}',
        availability_domain=f'{region}-AD-1',
        compartment_id=compartment_id,
        shape='VM.Standard2.1',
        source_details=oci.core.InstanceSourceDetailsArgs(
            source_type='image',
            image_id='ocid1.image.oc1..exampleuniqueID' # Replace with your image ID
        ),
        create_vnic_details=oci.core.InstanceCreateVnicDetailsArgs(
            subnet_id='ocid1.subnet.oc1..exampleuniqueID'  # Replace with your subnet ID
        ),
        defined_tags=defined_tags,
        freeform_tags=freeform_tags
    )
    instances.append(instance)

# Step 2 and 3: Set up DNS Views and associated DNS zones for each region.

# Creates a DNS view for region-specific DNS queries.
dns_views = []
for i, region in enumerate(regions):
    view = oci.dns.View(f'dns-view-{region}',
        compartment_id=compartment_id,
        display_name=f'DNS View for {region}',
        defined_tags=defined_tags,
        freeform_tags=freeform_tags
    )
    dns_views.append(view)

# Assume a base domain for the AI workloads which we'll be managing
base_domain = 'aiworkload.example.com'

# Associate the DNS view with a DNS zone, creating a resolver with appropriate rules.
for i, region in enumerate(regions):
    # Create a DNS zone specific to the region within the DNS view.
    zone = oci.dns.Zone(f'dns-zone-{region}',
        name=f'{region}.{base_domain}',
        compartment_id=compartment_id,
        scope='PRIVATE',
        view_id=dns_views[i].id,
        defined_tags=defined_tags,
        freeform_tags=freeform_tags
    )

# A resolver within the DNS view to resolve queries according to the zone information.
    resolver = oci.dns.Resolver(f'dns-resolver-{region}',
        compartment_id=compartment_id,
        attached_views=[
            oci.dns.ResolverAttachedViewArgs(
                view_id=dns_views[i].id,
            ),
        ],
        display_name=f'Resolver for {region}',
        freeform_tags=freeform_tags,
        rules=[ 
            # Add required rules based on your DNS logic and application needs.
        ]
    )

# Export the public IPs of the instances for external access if necessary.
for i, instance in enumerate(instances):
    pulumi.export(f'instance_{i}_public_ip', instance.public_ip)
```

This Pulumi program automates the following:

- We create compute instances in multiple regions, which will run your AI workloads.
- We establish DNS Views per region, allowing for region-specific DNS query resolution.
- We create a DNS Zone and attach it to each DNS View, ensuring that queries within those views are resolved to the appropriate regional endpoint.

It is crucial to replace placeholders such as `ocid1.compartment.oc1..exampleuniqueID` with actual OCIDs from your OCI resources. You would also need to configure DNS resolver rules specific to your application's requirements. The `rules` parameter for the `oci.dns.Resolver` resource should contain rules to manage your DNS queries based on the source, destination, and other conditions.

Please remember to adjust the instance shapes, images, and subnet settings according to your specific workload needs and to create the underlying network infrastructure (like VCNs, subnets, and security lists/rules) necessary for these instances to run effectively.

The code sets up the basic infrastructure required for a multi-region AI workload deployment and can be customized further to match your exact requirement, including but not limited to: setup of ingress/egress rules, configuration of load balancers, deployment of actual AI applications, and enabling data synchronization between regions if necessary.