Skip to main content
Phase out notice

Nebari is evolving. The original Nebari project is now called Nebari Classic, and is in maintenance mode.

We'll continue to provide security updates and key bug fixes; however, no new features are planned at this time. We're using the lessons learned from Nebari Classic to build a new Nebari ecosystem of tools, on a more robust foundation with a modular architecture. Nebari Classic's maintenance window will remain open until the new architecture reaches stability and feature parity, and current users are able to migrate, expected through the end of 2026.

See the current Nebari documentation for details on the new platform.

Telemetry

note

Nebari does NOT collects telemetry data from its installations. This document is for using telemetry for users/organization's private usage/visualization/processing of data for JupyterLab events.

Telemetry in Nebari enables the collection, processing, and visualization of data related to Jupyter Lab events. This documentation provides a guide on setting up and utilizing telemetry features effectively.

Nebari uses jupyterlab-pioneer for enabling telemetry on JupyterLab usage data.

JupyterLab Pioneer​

JupyterLab Pioneer is a JupyterLab extension for generating and exporting JupyterLab event telemetry data.

Installation​

Telemetry can be enabled on Nebari via JupyterLab Pioneer by adding the following in the nebari-config.yml:

telemetry:
  jupyterlab_pioneer:
    enabled: true

Configuration​

Since the telemetry events for JupyterLab is emitted in the pod logs, you may want to configure the format for the same. This can configure logging format via log_format variable: The syntax for this is same as the format param in python's logging.basicConfig method, which is defined in the docs here.

telemetry:
  jupyterlab_pioneer:
    enabled: true
    log_format: "%(asctime)s %(levelname)9s %(lineno)4s %(module)s: %(message)s"

Usage​

Enabling jupyterlab_pioneer in telemetry will start emitting telemetry data in the JupyterLab pods, which can be seen either via kubectl or k9s. Below are some logs for some jupyterlab events.

2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "ActiveCellChangeEvent", "eventTime": 1699962682425, "eventInfo": {"cells": [{"id": "83a72108-db56-43e3-b938-4aca6667484f", "index": 5}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "CellEditEvent", "eventTime": 1699962682296, "eventInfo": {"index": 6, "doc": [""]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "CellRemoveEvent", "eventTime": 1699962682286, "eventInfo": {"cells": [{"index": 7}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "ActiveCellChangeEvent", "eventTime": 1699962682284, "eventInfo": {"cells": [{"id": "2f4e6013-6729-4e01-8419-4feeda64cd48", "index": 6}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "CellEditEvent", "eventTime": 1699962682122, "eventInfo": {"index": 7, "doc": [""]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "CellRemoveEvent", "eventTime": 1699962682112, "eventInfo": {"cells": [{"index": 8}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "ActiveCellChangeEvent", "eventTime": 1699962682109, "eventInfo": {"cells": [{"id": "8edeabdf-fdd1-4465-af5b-ca13c314eea4", "index": 7}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "CellEditEvent", "eventTime": 1699962681958, "eventInfo": {"index": 8, "doc": [""]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "CellRemoveEvent", "eventTime": 1699962681950, "eventInfo": {"cells": [{"index": 9}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "ActiveCellChangeEvent", "eventTime": 1699962681948, "eventInfo": {"cells": [{"id": "6b8d84a5-c72c-4c8e-9125-39bd8cf0bee5", "index": 8}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "CellEditEvent", "eventTime": 1699962681786, "eventInfo": {"index": 9, "doc": [""]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "CellRemoveEvent", "eventTime": 1699962681775, "eventInfo": {"cells": [{"index": 10}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}
2023-11-14 12:00:29.039 {"eventDetail": {"eventName": "ActiveCellChangeEvent", "eventTime": 1699962681773, "eventInfo": {"cells": [{"id": "f5c73955-fc57-438c-9b81-2b197f5ce609", "index": 9}]}}, "notebookState": {"sessionID": "09ceefc2-82af-41d0-b806-a76369748020", "notebookPath": "alpha.ipynb", "notebookContent": null}}