AI Data Ingestion and Egress Control via Azure Route Filters

Question

Pulumi · Accepted Answer

Azure Route Filters provide you with a way to consume a subset of supported Azure services, which then enables you to implement granularity by restricting and controlling the data routing on your network. You can use Route Filters in conjunction with Border Gateway Protocol (BGP) community tags to define how Azure should treat your network traffic.

To enforce data ingestion and egress control in Azure, we need to create a route filter and associate route filter rules with it. These rules can use BGP community tags to identify the types of traffic that should be allowed or denied, which provides an additional layer of control over your network traffic.

Here's a Pulumi program in Python that creates an Azure Route Filter with an associated Route Filter Rule to control data ingestion and egress:

import pulumi
import pulumi_azure_native as azure_native

# Configure the resource group
resource_group = azure_native.resources.ResourceGroup('my-resource-group')

# Create a Route Filter.
route_filter = azure_native.network.RouteFilter(
    "routeFilter",
    resource_group_name=resource_group.name,
    location=resource_group.location,
    tags={
        "environment": "production",
    },
)

# Create a Route Filter Rule.
route_filter_rule = azure_native.network.RouteFilterRule(
    "routeFilterRule",
    resource_group_name=resource_group.name,
    route_filter_name=route_filter.name,
    access="Allow",
    communities=["12076:5040"], # BGP community tags that you want to allow through the filter
    route_filter_rule_type="Community", # Type of route filter rule, in this case filtering based on BGP community tags
)

# Export the IDs of the resources.
pulumi.export('resource_group_id', resource_group.id)
pulumi.export('route_filter_id', route_filter.id)
pulumi.export('route_filter_rule_id', route_filter_rule.id)

In this program, we define a resource group which is a logical container where Azure resources are deployed and managed. Then we create a Route Filter within this resource group, and a Route Filter Rule associated with this filter.

The Route Filter Rule is defined to allow traffic that matches the BGP community tags specified in the communities array. In this example, the tag 12076:5040 is a placeholder for a real BGP community tag that represents the Azure service or the traffic type you want to control.

The access parameter is set to "Allow", which means the filter rule will permit traffic from the specified communities. If you need to deny certain traffic, you would set access to "Deny" and specify the appropriate BGP community tags.

The route_filter_rule_type is set to "Community" indicating that filtering will be based on the BGP community tags.

Finally, we export the IDs of the created resources so you can use them in the Azure portal or in other Pulumi programs to manage or reference these resources.

To apply this Pulumi program, save it to a file (let's say main.py), then run the following commands:

Initialize a new Pulumi stack with pulumi stack init. Give it a name when prompted.
Set the Azure region you want to deploy the resources in with pulumi config set azure-native:location <region>, replacing <region> with the desired location (for example, westus).
Run pulumi up to preview and deploy the resources.

After reviewing the operation, confirm the deployment to create the resources in Azure. Once the deployment is done, the output will show the resource IDs that you can use for referencing in the Azure console or in further code development.