Supervisely
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  • 🤖What's Supervisely
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  • 📌Getting started
    • How to import
    • How to annotate
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  • 🔁Import and Export
    • Import
      • Overview
      • Import using Web UI
      • Supported annotation formats
        • Images
          • 🤖Supervisely JSON
          • 🤖Supervisely Blob
          • COCO
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          • Cityscapes
          • Images with PNG masks
          • Links from CSV, TXT and TSV
          • PDF files to images
          • Multiview images
          • Multispectral images
          • Medical 2D images
          • LabelMe
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        • Videos
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          • Supervisely
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          • .PCD, .PLY, .LAS, .LAZ pointclouds
          • Lyft
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          • KITTI 360
        • Volumes
          • Supervisely
          • .NRRD, .DCM volumes
          • NIfTI
      • Import sample dataset
      • Import into an existing dataset
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      • Roboflow to Supervisely
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  • 📂Data Organization
    • Core concepts
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        • How to use advanced filters
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        • Convert to COCO
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    • Data Commander
      • Clone Project Meta
  • 📝Labeling
    • Labeling Toolboxes
      • Images
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      • 3D Point Clouds
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      • Multiview images
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    • Labeling Tools
      • Navigation & Selection Tools
      • Point Tool
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      • Graph (Keypoints) Tool
      • Frame-based tagging
    • Labeling Jobs
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    • Labeling with AI-Assistance
  • 🤝Collaboration
    • Admin panel
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  • 🖥️Agents
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    • How agents work
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    • Overview
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      • Overview
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      • Overview
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    • Legacy
      • Starting with Neural Networks
      • Train custom Neural Networks
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  • 👔Enterprise Edition
    • Get Supervisely
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      • Overview
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    • Advanced Tuning
      • HTTPS
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      • Generating Troubleshoot Archive
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      • Managed Postgres
      • Scalability Tuning
  • 🔧Customization and Integration
    • Supervisely .JSON Format
      • Project Structure
      • Project Meta: Classes, Tags, Settings
      • Tags
      • Objects
      • Single-Image Annotation
      • Single-Video Annotation
      • Point Cloud Episodes
      • Volumes Annotation
    • Developer Portal
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  • 💡Resources
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On this page
  • Step 1. Find where your Supervisely data and configuration is located
  • Step 2. Stop the original server
  • Step 3. Transfer files to the new server
  • Step 4. Install Supervisely on a new machine

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  1. Enterprise Edition
  2. Advanced Tuning

Moving Instance

One of the most frequently asked questions is how to move an existing Supervisely instance from one machine/cloud to another machine/cloud? It's actually very easy.

Step 1. Find where your Supervisely data and configuration is located

First, we need to transfer data and configuration files to the new machine. Run the following commands:

  • sudo supervisely where — where your instance configuration is at

  • sudo supervisely where config — where your cli configuration is at

  • sudo supervisely where data — where your data is at

Step 2. Stop the original server

Run sudo supervisely stop on the first machine to stop the original instance. You can run it back again via sudo supervisely up -d after completing this manual.

Step 3. Transfer files to the new server

Create the same folders on the new server and copy contents. For example, your command to move data could look like this:

rsync -azP /opt/supervisely new_server:/opt/supervisely
# rsync -azP /opt/supervisely/config new_server:/opt/supervisely/config
# rsync -azP /opt/supervisely/data new_server:/opt/supervisely/data

Step 4. Install Supervisely on a new machine

Install supervisely-cli, run sudo sueprvisely install-all and run supervisely init. Your license has already been copied on the previous step — just wait a bit for the installation to complete and you are good to go!

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Last updated 2 years ago

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