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Implementation:Kubeflow Pipelines Helm Pipeline Template

From Leeroopedia
Knowledge Sources
Domains Deployment, Pipeline_Management, Helm
Last Updated 2026-02-13 14:00 GMT

Overview

Helm template for the core KFP pipeline control plane resources in the GCP Marketplace deployment, defining the API server, UI, persistence agent, and supporting services.

Description

This is the largest and most critical Marketplace template (877 lines), containing the entire KFP control plane. It defines CRDs (ScheduledWorkflow, Viewer), and all Kubernetes resources for: the KFP API server, persistence agent, scheduled workflow controller, viewer CRD controller, visualization server, UI frontend, and metadata writer. Each component includes its own ServiceAccount, Role, RoleBinding, Service, and Deployment.

Usage

This template is rendered during Helm-based GCP Marketplace installation. It provisions all KFP control plane components that handle pipeline run execution, scheduling, UI serving, and metadata tracking.

Code Reference

Source Location

Signature

# Key Kubernetes resources defined:
# - CRD: scheduledworkflows.kubeflow.org (v1beta1, Namespaced)
# - CRD: viewers.kubeflow.org (v1beta1, Namespaced)
# - Deployment: ml-pipeline (API server)
# - Deployment: ml-pipeline-persistenceagent
# - Deployment: ml-pipeline-scheduledworkflow
# - Deployment: ml-pipeline-viewer-crd
# - Deployment: ml-pipeline-visualizationserver
# - Deployment: ml-pipeline-ui
# - Deployment: metadata-writer
# - Services, Roles, RoleBindings, ServiceAccounts for each component

Import

# Rendered via Helm during GCP Marketplace installation
helm install kubeflow-pipelines chart/kubeflow-pipelines/

I/O Contract

Inputs

Name Type Required Description
.Release.Name Helm value Yes Helm release name for resource labeling
.Release.Namespace Helm value Yes Target Kubernetes namespace
Component images Helm values Yes Container images for each KFP component

Outputs

Name Type Description
KFP CRDs CustomResourceDefinition ScheduledWorkflow and Viewer CRDs
API Server Deployment + Service Central pipeline management API (ml-pipeline)
UI Deployment + Service Frontend web application (ml-pipeline-ui)
Agents Deployments Persistence, scheduling, viewer, visualization, metadata writer

Usage Examples

Verifying KFP Control Plane

# Check all KFP deployments are running
kubectl get deployments | grep ml-pipeline

# Verify API server service
kubectl get svc ml-pipeline

# Check KFP CRDs
kubectl get crd | grep kubeflow.org

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