1. OCI DNS Resolver for AI Workload Availability and Redundancy


    In the Oracle Cloud Infrastructure (OCI), a DNS resolver is a critical service that converts domain names into the appropriate IP addresses. This is essential for ensuring that network requests reach their correct destinations. For AI workloads that require high availability and redundancy, setting up a custom DNS resolver can help to manage DNS queries more effectively and provide additional controls to maintain uptime and performance.

    To set up an OCI DNS Resolver for AI workload availability and redundancy with Pulumi, you will primarily use the oci.Dns.Resolver and oci.Dns.ResolverEndpoint resources. Below is a typical workflow for this setup:

    1. Create a DNS Resolver: This entity will act as the container for your DNS resolution rules and configurations.
    2. Configure Resolver Rules: Define how the resolver should handle and manipulate DNS queries (such as forwarding conditions and actions if specific conditions are met).
    3. Create Resolver Endpoints: These represent actual instances of your resolver in the cloud, enabling it to listen for and resolve DNS queries.

    Here is a program that demonstrates how to create these resources using Pulumi. Make sure you have the OCI provider configured with the necessary credentials before running this Pulumi program.

    import pulumi import pulumi_oci as oci # Creating a new DNS Resolver in the OCI dns_resolver = oci.Dns.Resolver("aiWorkloadResolver", compartment_id="YOUR_COMPARTMENT_ID", # Replace with your compartment ID display_name="my-custom-dns-resolver", freeform_tags={ "ManagedBy": "Pulumi", }, attached_views=[oci.Dns.ResolverAttachedViewArgs( view_id="YOUR_VIEW_ID", # Replace with your view ID if applicable )] ) # Creating a DNS Resolver Endpoint resolver_endpoint = oci.Dns.ResolverEndpoint("aiWorkloadResolverEndpoint", compartment_id="YOUR_COMPARTMENT_ID", # Replace with your compartment ID resolver_id=dns_resolver.id, name="my-resolver-endpoint", is_forwarding=True, is_listening=True, endpoint_type="VNIC", subnet_id="YOUR_SUBNET_ID", # Replace with your subnet ID listening_address="" # Listening on all available addresses; customize as needed ) # Now, let's define a rule for our resolver. # This example rule forwards all queries for the .ai domain to # a different DNS server at the given IP address. resolver_rule = oci.Dns.ResolverForwardRule("aiWorkloadResolverRule", resolver_id=dns_resolver.id, client_address_conditions=[""], # Applies to all client addresses; adjust as necessary destination_addresses=[""], # IP address of the external resolver to forward to qname_cover_conditions=[".ai."] ) # Use Pulumi's export to output the resolver's endpoint IP. # This would be useful, for example, to set up your network to use this resolver. pulumi.export("resolver_endpoint_ip", resolver_endpoint.listening_address)

    In this program, we create a resolver and a resolver endpoint within a specified compartment. We then define a resolver rule that forwards all DNS queries for domains ending in .ai to an alternative DNS server (the IP address in this case).

    Please ensure that the YOUR_COMPARTMENT_ID, YOUR_VIEW_ID, and YOUR_SUBNET_ID placeholders are replaced with the actual IDs from your OCI setup.

    The oci.Dns.Resolver and oci.Dns.ResolverEndpoint resources allow you to customize various properties such as tags, views, subnet, and endpoint types according to your needs. You can add multiple endpoints and rules as required by your application's architecture and resiliency requirements.

    For more information on these resources and their capabilities, you can refer to the Pulumi documentation:

    To run this Pulumi program, you would typically execute pulumi up in the directory containing the code, after having installed Pulumi and the OCI provider. Make sure your environment is configured to authenticate with OCI (e.g., through appropriate environment variables or OCI CLI configuration).