Vertex AI Pipelines
Serverless orchestration of Kubeflow and TFX machine learning pipelines.
- Provider
- gcp
- Kind
- CI/CD pipeline
- Category
- Operations
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| approvalRequired | boolean | — | no | — | ▸ false |
| artifactSigning | boolean | — | no | — | ▸ false |
| artifactStore | enum | cloud-storage | no | cloud-storage | inherited |
| concurrency | integer | — | no | — | inherited |
| executionCaching | boolean | — | no | true | inherited |
| managed | boolean | — | no | false | ▸ true |
| metadataStore | boolean | — | no | true | inherited |
| secretsFromVault | boolean | — | no | — | inherited |
| selfHostedRunners | boolean | — | no | — | ▸ false |
| trigger | enum | manual | commit | pull-request | schedule | no | — | ▸ manual |
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.
nodes:
- { id: "vertex-ai-pipelines", component: "google-vertex-ai-pipelines" }Alibaba Cloud DevOps Flowalibaba-devops-flowAWS CodeBuildaws-codebuildAmazon CodeCatalystaws-codecatalystAWS CodeDeployaws-codedeployAWS CodePipelineaws-codepipelineEC2 Image Builderaws-ec2-image-builderAWS Protonaws-protonAWS Telco Network Builder (TNB)aws-tnbAzure Deployment Environmentsazure-deployment-environmentsManaged DevOps Poolsazure-managed-devops-poolsAzure Operator Service Managerazure-operator-service-managerAzure Pipelinesazure-pipelinesAzure VM Image Builderazure-vm-image-builderArgo CDargo-cdAtlantisatlantisAutomation pipelineautomation-pipelineAnsible AWXawxAtlassian BamboobambooBuildkitebuildkiteChef InfrachefGeneric CI/CD pipelineci-pipelineCircleCIcircleciConcourseconcourseCrossplanecrossplaneDeepEvaldeepevalDronedroneFluxfluxGitHub Actionsgithub-actionsGitLab CI/CDgitlab-ciHCP Terraformhcp-terraformJenkinsjenkinsPipeCDpipecdpromptfoopromptfooPuppet EnterprisepuppetSalt ProjectsaltSpinnakerspinnakerJetBrains TeamCityteamcityTektontektonTravis CItravis-ciWoodpecker CIwoodpecker
and 16 more → CI/CD pipeline page# 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"