Dashboard Overview
How to use ZenML's native dashboard to monitor your pipelines
ZenML comes with a native dashboard that allows you to monitor your pipelines and their runs. It is a great way to get a quick overview of your stacks and their components, and to inspect the artifacts that were produced by your pipeline runs.
The ZenML dashboard is served via the ZenML server. You must be connected to a local or deployed server in order to use the dashboard.
The new ZenML Dashboard is now bundled into the ZenML Python package and can be launched directly from Python. The source code lives in the ZenML Dashboard repository.
To launch it locally, simply run
zenml up on your machine and follow the instructions:$ zenml up
Deploying a local ZenML server with name 'local'.
Connecting ZenML to the 'local' local ZenML server (http://127.0.0.1:8237).
Updated the global store configuration.
Connected ZenML to the 'local' local ZenML server (http://127.0.0.1:8237).
The local ZenML dashboard is available at 'http://127.0.0.1:8237'. You can
connect to it using the 'default' username and an empty password.
The Dashboard will be available at
http://localhost:8237 by default:
ZenML Dashboard Preview
The ZenML Server is a FastAPI application, so can be run also directly with FastAPI using
uvicorn zenml.zen_server.zen_server_api:app --reload after cloning the repository.To connect to a deployed instance of the ZenML server use the
zenml connect CLI command. To connect to a ZenML server, you can either pass the configuration as command line arguments or as a YAML file:zenml connect --url=https://zenml.example.com:8080 --username=admin --no-verify-ssl
or
zenml connect --config=/path/to/zenml_server_config.yaml
The dashboard serves as a visual interface to see pipelines, pipeline runs, stacks and stack components. It also gives you a way to inspect the artifacts produced through the pipeline runs.
ZenML DAG artifact inspection
Last modified 2d ago