Docker Deployment Complete Process
DataLine uses a containerized solution to dramatically simplify the complexity of the installation, with the following implementation steps:
- Preparation of the basic environment: Ensure that Docker Engine is installed on the host (version 20.10+ recommended)
- Mirror Image Acquisition: Implementation
docker pull ramiawar/dataline:latestGet the latest stable version - Container initialization: Configure key parameters via standard run commands:
docker run -p 7377:7377 -v dataline:/home/.dataline --name dataline -e AUTH_USERNAME=admin -e AUTH_PASSWORD=admin ramiawar/dataline:latest
Key Configuration Description
- port mapping: 7377 is both the default service port for containers and is also recommended as the host mapping port
- Data persistence: Ensure persistent storage of configuration and data by mounting the volume with the -v parameter
- safety certification: the AUTH_USERNAME/AUTH_PASSWORD environment variable must be set (certificate authentication will be supported in subsequent releases)
caveat
When deployed in a production environment, it is recommended that you 1) change the default authentication credentials 2) configure an HTTPS reverse proxy and 3) back up the volume data on a regular basis.Windows users can use the provided installer (GitHub Releases), but some of the containerization features will be missing.
This answer comes from the articleDataLine: AI Data Analysis and Visualization Client for Fast Chart and Report GenerationThe
May not be reproduced without permission:AI productivity tools " How to deploy DataLine via Docker and what are the key configurations to look for in a deployment?
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