Recovering JupyterLab on Google Cloud Vertex AI Workbench after Shutdown: A Guide

JupyterLab is a powerful web-based interactive development environment (IDE) for working with Jupyter notebooks, code, and data. It is widely used in the data science community for data exploration, visualization, and machine learning tasks. Google Cloud Vertex AI Workbench is a managed service that allows you to create and manage JupyterLab environments in the cloud. However, if you accidentally shut down your JupyterLab environment, you might wonder how to recover it.

In this article, we will guide you through the process of recovering JupyterLab on Google Cloud Vertex AI Workbench after shutdown. We will provide step-by-step instructions that are easy to understand for entry-level users. By the end of this article, you will be able to recover your JupyterLab environment and continue your data science projects.

Prerequisites

Before we begin, make sure you have the following:

• A Google Cloud account with a project that has Vertex AI Workbench API enabled.
• A JupyterLab environment created on Vertex AI Workbench.
• Access to the Google Cloud Console.

Recovering JupyterLab on Google Cloud Vertex AI Workbench

To recover JupyterLab on Google Cloud Vertex AI Workbench, follow these steps:

Step 1: Open the Google Cloud Console

Go to the Google Cloud Console (https://console.cloud.google.com/) and sign in to your Google Cloud account.

Step 2: Go to Vertex AI Workbench

In the Google Cloud Console, click on the hamburger menu in the top left corner and select "AI Platform" from the list. Then, click on "Vertex AI Workbench" from the submenu.

Step 3: Select Your Project

Select the project that contains the JupyterLab environment you want to recover. If you have multiple projects, use the drop-down menu to select the project.

Step 4: Go to the Environments Page

Click on "Environments" from the menu on the left side of the page.

Step 5: Select Your Environment

Find the JupyterLab environment you want to recover from the list of environments. Click on the environment name to go to the environment details page.

Step 6: Start the Environment

On the environment details page, click on the "Start" button. This will start the JupyterLab environment and take you to the JupyterLab login page.

Step 7: Log in to JupyterLab

Enter your Google Cloud account credentials to log in to JupyterLab. Once you are logged in, you will be able to access your JupyterLab environment and continue your data science projects.

In this article, we have provided a step-by-step guide to recovering JupyterLab on Google Cloud Vertex AI Workbench after shutdown. By following these steps, you can easily recover your JupyterLab environment and continue your data science projects. Remember, if you have any issues, you can always contact Google Cloud support for help.

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