VertexAIEndpoint

---

Property	Value
Google Cloud Service Name	Vertex AI
Google Cloud Service Documentation	/vertex-ai/docs
Google Cloud REST Resource Name	v1beta1.projects.locations.endpoints
Google Cloud REST Resource Documentation	/vertex-ai/docs/reference/rest/v1beta1/projects.locations.endpoints
Config Connector Resource Short Names	gcpvertexaiendpoint gcpvertexaiendpoints vertexaiendpoint
Config Connector Service Name	aiplatform.googleapis.com
Config Connector Resource Fully Qualified Name	vertexaiendpoints.vertexai.cnrm.cloud.google.com
Can Be Referenced by IAMPolicy/IAMPolicyMember	No
Config Connector Default Average Reconcile Interval In Seconds	600

Custom Resource Definition Properties

Spec

Schema

description: string
displayName: string
encryptionSpec:
  kmsKeyNameRef:
    external: string
    name: string
    namespace: string
networkRef:
  external: string
  name: string
  namespace: string
projectRef:
  external: string
  name: string
  namespace: string
region: string
resourceID: string

Fields
description Optional	string The description of the Endpoint.
displayName Required	string Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.
encryptionSpec Optional	object Immutable. Customer-managed encryption key spec for an Endpoint. If set, this Endpoint and all sub-resources of this Endpoint will be secured by this key.
encryptionSpec.kmsKeyNameRef Required*	object Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
encryptionSpec.kmsKeyNameRef.external Optional	string Allowed value: The `selfLink` field of a `KMSCryptoKey` resource.
encryptionSpec.kmsKeyNameRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
encryptionSpec.kmsKeyNameRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
networkRef Optional	object Optional. The full name of the Google Compute Engine network to which the Endpoint should be peered. Private services access must already be configured for the network. If left unspecified, the Endpoint is not peered with any network. Only one of the fields, network or enablePrivateServiceConnect, can be set. Format: projects/{project_id}/global/networks/{network_name}.
networkRef.external Optional	string Allowed value: string of the format `projects/{{project}}/global/networks/{{value}}`, where {{value}} is the `name` field of a `ComputeNetwork` resource.
networkRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
networkRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
projectRef Required	object The project that this resource belongs to.
projectRef.external Optional	string Allowed value: The `name` field of a `Project` resource.
projectRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
projectRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
region Required	string Immutable. The region for the resource.
resourceID Optional	string Immutable. Optional. The name of the resource. Used for creation and acquisition. When unset, the value of `metadata.name` is used as the default.

* Field is required when parent field is specified

Status

Schema

conditions:
- lastTransitionTime: string
  message: string
  reason: string
  status: string
  type: string
observedGeneration: integer
observedState:
  createTime: string
  modelDeploymentMonitoringJob: string

Fields
conditions	list (object) Conditions represent the latest available observation of the resource's current state.
conditions[]	object
conditions[].lastTransitionTime	string Last time the condition transitioned from one status to another.
conditions[].message	string Human-readable message indicating details about last transition.
conditions[].reason	string Unique, one-word, CamelCase reason for the condition's last transition.
conditions[].status	string Status is the status of the condition. Can be True, False, Unknown.
conditions[].type	string Type is the type of the condition.
observedGeneration	integer ObservedGeneration is the generation of the resource that was most recently observed by the Config Connector controller. If this is equal to metadata.generation, then that means that the current reported status reflects the most recent desired state of the resource.
observedState	object The observed state of the underlying GCP resource.
observedState.createTime	string Output only. Timestamp when this Endpoint was created.
observedState.modelDeploymentMonitoringJob	string Output only. Resource name of the Model Monitoring job associated with this Endpoint if monitoring is enabled by CreateModelDeploymentMonitoringJob. Format: 'projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}'.

Sample YAML(s)

VertexAI Endpoint Encryptionkey

# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

apiVersion: vertexai.cnrm.cloud.google.com/v1beta1
kind: VertexAIEndpoint
metadata:
  name: vertexaiendpoint-sample-encryptionkey
  labels:
    label-one: "value-one"
spec:
  displayName: "vertexai-endpoint-encryptionkey"
  description: "example vertex AI endpoint with encryption key"
  region: us-central1
  encryptionSpec:
    kmsKeyNameRef:
      name: vertexaiendpoint-dep-encryptionkey
  projectRef:
    # Replace ${PROJECT_ID?} with your project ID.
    external: ${PROJECT_ID?}
---
# Replace ${PROJECT_ID?} and ${PROJECT_NUMBER?} below with your desired project
# ID and project number.
apiVersion: iam.cnrm.cloud.google.com/v1beta1
kind: IAMPolicyMember
metadata:
  name: vertexaiendpoint-dep-encryptionkey
spec:
  memberFrom:
    serviceIdentityRef:
      name: vertexaiendpoint-dep-encryptionkey
  role: roles/cloudkms.cryptoKeyEncrypterDecrypter # required by vertex AI service agent to access KMS keys
  resourceRef:
    apiVersion: resourcemanager.cnrm.cloud.google.com/v1beta1
    kind: Project
    external: projects/${PROJECT_ID?}
---
apiVersion: kms.cnrm.cloud.google.com/v1beta1
kind: KMSCryptoKey
metadata:
  name: vertexaiendpoint-dep-encryptionkey
spec:
  keyRingRef:
    name: vertexaiendpoint-dep-encryptionkey
  purpose: ENCRYPT_DECRYPT
---
apiVersion: kms.cnrm.cloud.google.com/v1beta1
kind: KMSKeyRing
metadata:
  name: vertexaiendpoint-dep-encryptionkey
spec:
  location: us-central1
---
apiVersion: serviceusage.cnrm.cloud.google.com/v1beta1
kind: ServiceIdentity
metadata:
  name: vertexaiendpoint-dep-encryptionkey
  annotations:
    cnrm.cloud.google.com/deletion-policy: "abandon"
spec:
  projectRef:
    # Replace ${PROJECT_ID?} with your project ID.
    external: ${PROJECT_ID?}
  resourceID: aiplatform.googleapis.com

VertexAI Endpoint Network

# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

apiVersion: vertexai.cnrm.cloud.google.com/v1beta1
kind: VertexAIEndpoint
metadata:
  name: vertexaiendpoint-sample-network
  labels:
    label-one: "value-one"
spec:
  displayName: "vertexai-endpoint-network"
  description: "example vertex AI endpoint with network peering"
  region: us-central1
  networkRef:
    name: vertexaiendpoint-dep-network
  projectRef:
    # Replace ${PROJECT_ID?} with your project ID.
    external: ${PROJECT_ID?}
---
apiVersion: compute.cnrm.cloud.google.com/v1beta1
kind: ComputeAddress
metadata:
  name: vertexaiendpoint-dep-network
spec:
  location: global
  purpose: VPC_PEERING
  addressType: INTERNAL
  prefixLength: 24
  networkRef:
    name: vertexaiendpoint-dep-network
---
apiVersion: compute.cnrm.cloud.google.com/v1beta1
kind: ComputeNetwork
metadata:
  name: vertexaiendpoint-dep-network
spec:
  autoCreateSubnetworks: false
---
apiVersion: servicenetworking.cnrm.cloud.google.com/v1beta1
kind: ServiceNetworkingConnection
metadata:
  name: vertexaiendpoint-dep-network
spec:
  networkRef:
    name: vertexaiendpoint-dep-network
  service: "servicenetworking.googleapis.com"
  reservedPeeringRanges:
    - name: vertexaiendpoint-dep-network

Note: If you have any trouble with instantiating the resource, refer to Troubleshoot Config Connector.