Vertex AI Pipelines

gcpCI/CD pipelinegoogle-vertex-ai-pipelines

Serverless orchestration of Kubeflow and TFX machine learning pipelines.

Provider
gcp
Category
Operations
Properties · 5 set by this component
propertytypevaluesrequiredkind defaultthis component
approvalRequiredboolean—no—▸ false
artifactSigningboolean—no—▸ false
artifactStore · component propertyenumcloud-storagenocloud-storageinherited
concurrencyinteger—no—inherited
executionCaching · component propertyboolean—notrueinherited
managedboolean—nofalse▸ true
metadataStore · component propertyboolean—notrueinherited
secretsFromVaultboolean—no—inherited
selfHostedRunnersboolean—no—▸ false
triggerenummanual | commit | pull-request | scheduleno—▸ manual
Rules that apply · 0

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

No rule reads this kind yet. That is a gap, not a guarantee.
Use it in a design
nodes:
  - { id: "vertex-ai-pipelines", component: "google-vertex-ai-pipelines" }
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and 16 more → CI/CD pipeline page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Vertex AI Pipelines: serverless orchestration of Kubeflow/TFX pipelines. Runs are submitted through
# the API and only scheduled when a schedule or Pub/Sub trigger is added, so the trigger is manual
# ("Introduction to Vertex AI Pipelines"). There are no runners to host and no approval gates.
schemaVersion: "1"
type: "component"
id: "google-vertex-ai-pipelines"
kind: "ci-pipeline"
provider: "gcp"
docs: "https://cloud.google.com/vertex-ai/docs/pipelines/introduction"
defaults:
  managed: true
  trigger: "manual"
  selfHostedRunners: false
  approvalRequired: false
  artifactSigning: false
properties:
  executionCaching:
    type: "boolean"
    default: true
  metadataStore:
    type: "boolean"
    default: true
  artifactStore:
    type: "enum"
    values: ["cloud-storage"]
    default: "cloud-storage"

The same page as markdown, for an agent: /catalogue/components/google-vertex-ai-pipelines.md