[PLAT-76309]Add doc guide to create a gcp private service connect workspace.

docs/guides/gcp-private-service-connect-workspace.md

@@ -0,0 +1,162 @@
+---
+page_title: "Provisioning Databricks on Google Cloud with Private Service Connect"
+---
+
+# Provisioning Databricks workspaces on GCP with Private Service Connect
+
+Secure a workspace with private connectivity and mitigate data exfiltration risks by [enabling Google Private Service Connect (PSC) on the workspace](https://docs.gcp.databricks.com/administration-guide/cloud-configurations/gcp/private-service-connect.html). This guide assumes that you are already familiar with Hashicorp Terraform and provisioned some of the Google Compute Cloud infrastructure with it. 
+
+## Creating a GCP service account for Databricks Provisioning and Authenticate with Databricks account API
+
+To work with Databricks in GCP in an automated way, please create a service account and manually add it in the [Accounts Console](https://accounts.gcp.databricks.com/users) as an account admin. Databricks account-level APIs can only be called by account owners and account admins, and can only be authenticated using Google-issued OIDC tokens. The simplest way to do this would be via [Google Cloud CLI](https://cloud.google.com/sdk/gcloud). Please refer to [Provisioning Databricks workspaces on GCP](gcp_workspace.md) for details.
+
+## Creating a VPC network
+
+The very first step is VPC creation with necessary resources. Please consult [main documentation page](https://docs.gcp.databricks.com/administration-guide/cloud-configurations/gcp/customer-managed-vpc.html) for **the most complete and up-to-date details on networking**. A GCP VPC is registered as [databricks_mws_networks](../resources/mws_networks.md) resource.
+
+To enable [back-end Private Service Connect (data plane to control plane)](https://docs.gcp.databricks.com/administration-guide/cloud-configurations/gcp/private-service-connect.html#two-private-service-connect-options), configure network with the two back-end VPC endpoints:
+- Back-end VPC endpoint for [Secure cluster connectivity](https://docs.gcp.databricks.com/security/secure-cluster-connectivity.html) relay
+- Back-end VPC endpoint for REST APIs
+
+-> Note If you want to implement the front-end VPC endpoint as well for the connections from users to to the Databricks web application, REST API, and Databricks Connect API over a Virtual Private Cloud (VPC) endpoint, use the transit (bastion) VPC. Once the front-end endpoint is created, use the databricks_mws_private_access_settings resource to control which VPC endpoints can connect to the UI or API of any workspace that attaches this private access settings object.
+
+```hcl
+resource "google_compute_network" "dbx_private_vpc" {
+  project                 = var.google_project
+  name                    = "tf-network-${random_string.suffix.result}"
+  auto_create_subnetworks = false
+}
+
+resource "google_compute_subnetwork" "network-with-private-secondary-ip-ranges" {
+  name          = "test-dbx-${random_string.suffix.result}"
+  ip_cidr_range = "10.0.0.0/16"
+  region        = "us-central1"
+  network       = google_compute_network.dbx_private_vpc.id
+  secondary_ip_range {
+    range_name    = "pods"
+    ip_cidr_range = "10.1.0.0/16"
+  }
+  secondary_ip_range {
+    range_name    = "svc"
+    ip_cidr_range = "10.2.0.0/20"
+  }
+  private_ip_google_access = true
+}
+
+resource "google_compute_router" "router" {
+  name    = "my-router-${random_string.suffix.result}"
+  region  = google_compute_subnetwork.network-with-private-secondary-ip-ranges.region
+  network = google_compute_network.dbx_private_vpc.id
+}
+
+resource "google_compute_router_nat" "nat" {
+  name                               = "my-router-nat-${random_string.suffix.result}"
+  router                             = google_compute_router.router.name
+  region                             = google_compute_router.router.region
+  nat_ip_allocate_option             = "AUTO_ONLY"
+  source_subnetwork_ip_ranges_to_nat = "ALL_SUBNETWORKS_ALL_IP_RANGES"
+}
+
+resource "databricks_mws_vpc_endpoint" "backend_rest_vpce" {
+  account_id          = var.databricks_account_id
+  vpc_endpoint_name   = "vpce-backend-rest-${random_string.suffix.result}"
+  gcp_vpc_endpoint_info {
+    project_id        = var.google_project
+    psc_endpoint_name = var.backend_rest_psce
+    endpoint_region   = google_compute_subnetwork.network-with-private-secondary-ip-ranges.region
+  }
+}
+
+resource "databricks_mws_vpc_endpoint" "relay_vpce" {
+  account_id          = var.databricks_account_id
+  vpc_endpoint_name   = "vpce-relay-${random_string.suffix.result}"
+  gcp_vpc_endpoint_info {
+    project_id        = var.google_project
+    psc_endpoint_name = var.relay_psce
+    endpoint_region   = google_compute_subnetwork.network-with-private-secondary-ip-ranges.region
+  }
+}
+
+resource "databricks_mws_networks" "this" {
+  provider     = databricks.accounts
+  account_id   = var.databricks_account_id
+  network_name = "test-demo-${random_string.suffix.result}"
+  gcp_network_info {
+    network_project_id    = var.google_project
+    vpc_id                = google_compute_network.dbx_private_vpc.name
+    subnet_id             = google_compute_subnetwork.network-with-private-secondary-ip-ranges.name
+    subnet_region         = google_compute_subnetwork.network-with-private-secondary-ip-ranges.region
+    pod_ip_range_name     = "pods"
+    service_ip_range_name = "svc"
+  }
+  vpc_endpoints {
+    dataplane_relay = [databricks_mws_vpc_endpoint.relay_vpce.vpc_endpoint_id]
+    rest_api        = [databricks_mws_vpc_endpoint.backend_rest_vpce.vpc_endpoint_id]
+  }
+}
+```
+
+## Creating a Databricks Workspace
+
+Once [the VPC](#creating-a-vpc) is set up, you can create Databricks workspace through [databricks_mws_workspaces](../resources/mws_workspaces.md) resource.
+
+For a workspace to support any of the Private Service Connect connectivity scenarios, the workspace must be created with an attached [databricks_mws_private_access_settings](../resources/mws_private_access_settings.md) resource.
+
+Code that creates workspaces and code that [manages workspaces](workspace-management.md) must be in separate terraform modules to avoid common confusion between `provider = databricks.accounts` and `provider = databricks.created_workspace`. This is why we specify `databricks_host` and `databricks_token` outputs, which have to be used in the latter modules.
+
+-> **Note** If you experience technical difficulties with rolling out resources in this example, please make sure that [environment variables](../index.md#environment-variables) don't [conflict with other](../index.md#empty-provider-block) provider block attributes. When in doubt, please run `TF_LOG=DEBUG terraform apply` to enable [debug mode](https://www.terraform.io/docs/internals/debugging.html) through the [`TF_LOG`](https://www.terraform.io/docs/cli/config/environment-variables.html#tf_log) environment variable. Look specifically for `Explicit and implicit attributes` lines, that should indicate authentication attributes used. The other common reason for technical difficulties might be related to missing `alias` attribute in `provider "databricks" {}` blocks or `provider` attribute in `resource "databricks_..." {}` blocks. Please make sure to read [`alias`: Multiple Provider Configurations](https://www.terraform.io/docs/language/providers/configuration.html#alias-multiple-provider-configurations) documentation article.
+
+```hcl
+resource "databricks_mws_private_access_settings" "pas" {
+  account_id                   = var.databricks_account_id
+  private_access_settings_name = "pas-${random_string.suffix.result}"
+  region                       = google_compute_subnetwork.network-with-private-secondary-ip-ranges.region
+  public_access_enabled        = true
+  private_access_level         = "ACCOUNT"
+}
+
+resource "databricks_mws_workspaces" "this" {
+  provider       = databricks.accounts
+  account_id     = var.databricks_account_id
+  workspace_name = "tf-demo-test-${random_string.suffix.result}"
+  location       = google_compute_subnetwork.network-with-private-secondary-ip-ranges.region
+  cloud_resource_container {
+    gcp {
+      project_id = var.google_project
+    }
+  }
+
+  private_service_connect_id = databricks_mws_private_access_settings.pas.private_access_settings_id
+  network_id = databricks_mws_networks.this.network_id
+  gke_config {
+    connectivity_type = "PRIVATE_NODE_PUBLIC_MASTER"
+    master_ip_range   = "10.3.0.0/28"
+  }
+
+  token {
+    comment = "Terraform"
+  }
+
+  # this makes sure that the NAT is created for outbound traffic before creating the workspace
+  depends_on = [google_compute_router_nat.nat]
+}
+
+output "databricks_host" {
+  value = databricks_mws_workspaces.this.workspace_url
+}
+
+output "databricks_token" {
+  value     = databricks_mws_workspaces.this.token[0].token_value
+  sensitive = true
+}
+```
+
+### Data resources and Authentication is not configured errors
+
+*In Terraform 0.13 and later*, data resources have the same dependency resolution behavior [as defined for managed resources](https://www.terraform.io/docs/language/resources/behavior.html#resource-dependencies). Most data resources make an API call to a workspace. If a workspace doesn't exist yet, `default auth: cannot configure default credentials` error is raised. To work around this issue and guarantee a proper lazy authentication with data resources, you should add `depends_on = [databricks_mws_workspaces.this]` to the body. This issue doesn't occur if workspace is created *in one module* and resources [within the workspace](workspace-management.md) are created *in another*. We do not recommend using Terraform 0.12 and earlier, if your usage involves data resources.
+
+```hcl
+data "databricks_current_user" "me" {
+  depends_on = [databricks_mws_workspaces.this]
+}
+```