📖
WizStudio
  • 👋Welcome to WizStudio
  • Overview
    • 💡What we do
  • Kubeflow
    • ⚒️Introduction
    • ⚙️KF Pipelines
      • Hello World Pipeline
      • Components
        • Lightweight Python Components
        • Containerized Python Components
        • Container Components
      • Pipelines
        • Control Flow
    • ⚙️Notebooks
      • Quickstart
  • Visual Pipeline Builder
    • ⚒️Creating a pipeline
    • ⚙️Custom Step
      • Properties
      • Input Parameters
      • Outputs
      • Environment Variables
    • ⛓️Argument builder
    • ⏭️OnExit Step
    • 🚀Save and export
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  1. Kubeflow

Introduction

Overview of the Kubeflow user interfaces (UIs)

PreviousWhat we doNextKF Pipelines

Last updated 1 year ago

Your WizStudio deployment includes a central dashboard that provides quick access to the Kubeflow components deployed in your cluster. The dashboard includes the following features:

  • Shortcuts to specific actions, a list of recent pipelines and notebooks, and metrics, giving you an overview of your jobs and cluster in one view.

  • A housing for the UIs of the components running in the cluster, including Pipelines, Katib, Notebooks, MLFlow, Airbyte and more.

  • A that prompts new users to set up their namespace if necessary.

Overview of Kubeflow UIs

The Kubeflow UIs include the following:

  • Home: Home, the central hub to access recent resources, active experiments, and useful documentation.

  • Notebook Servers: To manage .

  • Models: To manage deployed .

  • Volumes: To manage the cluster’s Volumes.

  • Experiments (KFP): To manage experiments.

  • Pipelines: To manage KFP pipelines.

  • Runs: To manage KFP runs.

  • Recurring Runs: To manage KFP recurring runs.

  • MLFlow: To track ML Metadata, Experiments and register Models.

  • Airbyte: To configure and execute data ETL jobs.

  • Manage Contributors: To configure user access sharing across namespaces in the Kubeflow deployment.

The central dashboard looks like this:

Kubeflow central UI
⚒️
registration flow
Notebook servers
KFServing models
Kubeflow Pipelines (KFP)