Dashboard for Kubeflow
A dashboard for monitoring Kubeflow code pipelines to help data science better monitor their machine learning operations (MLOps).
Dashboards for Kubeflow
Metabase makes it easy for everyone to build a dashboard for Kubeflow.
What’s a Kubeflow dashboard?
A dashboard for monitoring Kubeflow code pipelines to help data science better monitor their machine learning operations (MLOps). Get Started

Why build a dashboard for Kubeflow?

Everything in one place
Get everyone on the same page by collecting your most important metrics into a single view.


Share your perspective
Take your data wherever it needs to go by embedding it in your internal wikis, websites, and content.

Unlock exploration
Empower your team to measure their own progress and explore new paths to achieve their goals.
What should I track on my dashboard for Kubeflow?
Every team is different, but sometimes it helps to start with some examples. Here are our top 8 Kubeflow metrics to start tracking on your dashboards.
Top 8 Kubeflow monitoring metrics
- Experiment tracking
- Model latency
- Regression analysis
- Training data
- Prediction data
- Artifact logs
- Code version tracking
- Errors logs
How to use Metabase to build Kubeflow dashboards

Step 1.
Skip the custom quoteThat's right, no sales calls necessary—just sign up, and get running in under 5 minutes.


Step 2.
Plugin your databaseWe connect to the most popular production databases and data warehouses.

Step 3.
Build your dashboardsInvite your team and start building dashboards—no SQL required.
Get started with Metabase
- Free, no-commitment trial
- Easy for everyone—no SQL required
- Up and running in 5 minutes