Docker Hub - container registry

Dataloop supports seamless integration with Docker Hub, allowing users to manage and deploy containerized applications within the platform. By integrating Docker Hub as a container registry, users can pull, store, and manage Docker Hub images for AI model deployment, automation pipelines, and custom processing tasks. This integration ensures a streamlined workflow for building, updating, and running containers directly within Dataloop’s infrastructure, enhancing scalability and efficiency in machine learning and data annotation projects.

Integration - Docker Hub container registry

1. Create an access token in the Docker

• Refer to the Create an access token documentation for detailed steps on generating a Docker access token
• Generate a username and personal access token, which will be used for integration with the Dataloop platform.
• Ensure you copy and securely store both the username and personal access token (which serves as the password for authentication in Dataloop).

2. Integrate Docker Hub container registry

1. Log in to your Dataloop Platform.
2. Navigate to the Integrations page.
3. Click Create Integration -> Create Registry Integration.
4. Integration Name: Enter a name for the integration.
5. Provider: Select the Docker Hub from the list.
6. Username: Enter the previously copied username.
7. Password: Enter the previously copied personal access token.
8. Click Create Integration to finalize the setup.

3. Test the configuration

1. In the Dataloop platform, navigate to the section where you use container images (e.g., Pipelines or Model Deployment).
2. Try pulling or referencing a Docker image from your Docker Hub repository.
3. Verify that the integration works correctly and that the image loads without any errors.
4. If issues arise, double-check the integration settings, credentials, and repository access permissions.