Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Homepage
  • List Projects
  • List Feature Stores
  • Create
    • Create Project
      • Container Status Message
    • Create Feature Store
  • Registered Models and APIs
  • Settings
  • Trash
  • Tabs for a DSL Project
    • Workspace
      • Workspace Folders
        • Repo Folder Attributes
        • Repo Folder Attributes for a Repo Sync Project
        • Utils Folder Attributes
          • Utility Actions
        • Files Attributes
      • Working with the Workspace tab
        • Create
        • Import
          • Importing Notebook
          • Pull from Git
        • Adding File and Folders
      • Linter
      • Git Console
      • Adjustable Repository Panel
    • Data
      • Adding Data
      • Data List Page
    • Model
      • Import Model
      • Explainer Generator
      • Export to GIT/ Model Migration
      • Share a Model
      • Register a Model
      • Unregister a Model
      • Register a Model as an API Service
      • Delete a Model
    • AutoML
      • Creating AutoML Experiment
      • AutoML List Page
        • View Explanation
          • Model Summary
          • Model Interpretation
            • Classification Model Explainer
            • Regression Model Explainer
            • Forecasting Model Explainer
          • Dataset Explainer
  • Data Science Notebook
    • Preview File
    • Save as Notebook
    • .ipynb File Cells
      • Using a Code Cell
      • Using a Markdown Cell
        • Expanding and Collapsing Markdown Cell
      • Using an Assist Cell
    • Resource Utilization Graph
    • Taskbar
    • Actions Icons from Header
    • Notebook Actions
      • Register
        • Export
        • Register as a Job
      • Notebook Version Control
      • Share
      • Delete
      • Information
  • Model Creation using Data Science Notebook
  • Notebook Operations
    • Data
      • Reading Data
      • Copy Path Functionality
    • Secrets
    • Algorithms
    • Transforms
    • Artifacts
    • Variable Explorer
    • Writers
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  1. Create
  2. Create Project

Container Status Message

A DSL Project displays various status of the container on the top right side of the header panel.

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The user gets all the updates regarding container status through color coded message display for a specific DSL Project. After creating a new project and opening it the user gets to see various status messages on the top right side of the page.

Steps to see the container message:

  • Open an active Data Science Project.

  • The user gets redirected to create or import Notebook.

  • The container status message gets displayed on the top right side of this screen.

  • The following status messages get displayed till the container gets created and comes into the running status.

Please Note: A container status message appears when container is not available. An error message also appears to inform user that the Project container is not up and running.

  • Container status message when container is getting created, and it is initializing.

  • Container status message when container is running.

Please Note: The user can click on the branch icon to get the latest branch related configuration.

Project Container is inactive
Project container is initializing
Project container is active