1. Secure AI Workload Orchestration with Proxmox Containers


    To orchestrate AI workloads securely in Proxmox containers using Pulumi, we will need to define and manage the required infrastructure to support the containers, virtual machines, or the Proxmox environment itself. Proxmox VE (Virtual Environment) is an open-source server management platform for your enterprise virtualization, but Pulumi does not have direct integration with Proxmox. We can, however, leverage the cloud providers like AWS, Azure, GCP, etc., and use them to create instances where Proxmox can be installed manually, or we can manage and automate some of these tasks using Pulumi's support for virtual machines or Kubernetes in these environments.

    Given that Pulumi does not support Proxmox directly, and the Pulumi Registry Results do not indicate support for Proxmox, we can instead look at orchestrating an AI workload using containers in a cloud environment. As an example, we'll use Azure as our cloud provider to set up Azure Kubernetes Service (AKS), which can be used to deploy containers securely.

    Below is a Pulumi Python program that demonstrates how to create the necessary infrastructure to deploy and orchestrate containers on AKS:

    1. We will create an AKS cluster, which will serve as our container orchestrator.
    2. We will ensure that the cluster is secured and only accessible within a defined network.
    3. No direct Proxmox usage will be demonstrated as it falls outside the scope of Pulumi's capabilities.
    import pulumi from pulumi_azure_native import resources, containerservice, network # Create an Azure Resource Group resource_group = resources.ResourceGroup('rg') # Create an Azure Virtual Network for AKS vnet = network.VirtualNetwork( 'vnet', address_space=network.AddressSpaceArgs(address_prefixes=['']), location=resource_group.location, resource_group_name=resource_group.name) # Create a subnet for AKS subnet = network.Subnet( 'subnet', address_prefix='', resource_group_name=resource_group.name, virtual_network_name=vnet.name) # Create an AKS cluster aks_cluster = containerservice.ManagedCluster( 'aksCluster', resource_group_name=resource_group.name, agent_pool_profiles=[{ 'count': 3, 'max_pods': 110, 'mode': 'System', 'name': 'agentpool', 'node_labels': {}, 'os_disk_size_gb': 30, 'os_type': 'Linux', 'type': 'VirtualMachineScaleSets', 'vm_size': 'Standard_DS2_v2', 'vnet_subnet_id': subnet.id, }], dns_prefix='aksdns', enable_rbac=True, kubernetes_version='1.18.14', linux_profile={ 'admin_username': 'adminuser', 'ssh': { 'public_keys': [{ 'key_data': "ssh-rsa AAA..." }] }, }, location=resource_group.location, network_profile={ 'load_balancer_sku': 'standard', 'network_plugin': 'azure', 'network_policy': 'calico', 'outbound_type': 'loadBalancer', 'service_cidr': '', 'dns_service_ip': '', 'docker_bridge_cidr': '' }, node_resource_group='nodeResourceGroup') # Export the cluster's kubeconfig kubeconfig = pulumi.Output.all(resource_group.name, aks_cluster.name).apply( lambda args: containerservice.list_managed_cluster_user_credentials( resource_group_name=args[0], resource_name=args[1])).apply(lambda creds: creds.kubeconfigs[0].value.s) pulumi.export('kubeconfig', kubeconfig)

    This program does the following:

    • Creates an Azure Resource Group, which is a logical container that holds related resources for an Azure solution.
    • Defines a virtual network (VNet) and a subnet within that VNet where our AKS cluster's nodes will live. This network configuration enables us to apply network controls for better security.
    • Deploys an AKS cluster within the specified subnet. The agent_pool_profiles section describes the configuration of the nodes that will run our container workloads, including the size, count, and the subnet they'll be connected to. The enable_rbac flag ensures that role-based access control (RBAC) is enabled for the cluster, enhancing security.
    • The linux_profile section specifies the admin username and SSH public key for secure access to the Kubernetes nodes.
    • The network_profile section configures the network policy for the ingress and egress of the containers in our cluster. Calico is specified to handle network policy implementation, which gives us the ability to implement network segmentation and enforce policy-based security. It's used to define which containers (or pods) can communicate with each other and which ones are blocked.

    Lastly, we export the kubeconfig required to interact with our AKS cluster via kubectl or any Kubernetes-compatible client.

    Since Proxmox is not directly supported, you would need to use a more general tool, such as Ansible or Terraform, to script the Proxmox-specific parts of your infrastructure otherwise, or perform these steps manually after the Azure infrastructure is provisioned using Pulumi.