Datafor can be easily deployed using Docker. This guide provides the steps and commands to deploy the free version of Datafor.

Prerequisites

Before you start, ensure you have the following:

• Docker installed on your machine. If you don't have Docker installed, you can download and install it from the Docker website.

Deployment Steps

1. Open a Terminal or Command Prompt:

   • On Windows, you can use Command Prompt or PowerShell.
   • On macOS or Linux, you can use the Terminal.

2. Pull the Datafor Docker Image:

   • If you haven't already pulled the Datafor Docker image, you can do so by running:

     docker pull datafor123/datafor-ee

   • This command downloads the Datafor Docker image to your local machine.

3. Run the Docker Container:

   • Use the following command to run the Datafor Docker container:

     docker run -itd --name datafor-ee -p 28080:28080 -p 28081:28081 -p 25432:25432 datafor123/datafor-ee

   • Command explanation:

     • docker run: This command is used to create and start a new Docker container.
     • -itd: These flags tell Docker to run the container in interactive mode (-i), allocate a pseudo-TTY (-t), and run it in detached mode (-d), which means it will run in the background.
     • --name datafor-ee: Names the container datafor-ee for easy reference.
     • -p 28080:28080: Maps port 28080 on your local machine to port 28080 in the container.This port is used for the web access.
     • -p 28081:28081: Maps port 28081 on your local machine to port 28081 in the container.This port is used for the AI agent service.
     • -p 25432:25432: Maps port 25432 on your local machine to port 25432 in the container.This port is used for the built-in database service.It is recommended to restrict the port to be accessible only from the local machine for security reasons.
     • datafor123/datafor-ee: Specifies the Docker image to use.

4. Verify the Deployment:

   • Once the container is running, you can check the container status with the following command to verify that Datafor is deployed correctly:

     docker ps

   • This command lists all running containers. You should see datafor-ee in the list and its status.

5. Access datafor-ee:

   • Open your web browser and navigate to http://localhost:28080.

Stopping and Removing the Container

• To stop the container, use:

  docker stop datafor-ee

• To remove the container, use:

  docker rm datafor-ee

By following these steps, you should be able to deploy and run datafor-ee on your local machine using Docker.