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Installing the Docker Server
To install and launch Axxon One using Docker, do the following:
- Install Docker using the official manuals:
- Debian: https://docs.docker.com/engine/install/debian/.
- Ubuntu: https://docs.docker.com/engine/install/ubuntu/.
Info title Note Minimum requirements to launch Axxon One using Docker on Ubuntu:
- dual-core CPU;
- 4 GB RAM;
- 200 GB HDD.
- Other distribution packages: https://docs.docker.com/engine/install/.
- Download the latest version of the Axxon One Docker image using the following command:
Code Block language bash sudo docker pull axxonsoft/axxon-one:latest
- Launch Docker using the following command:
Code Block language bash sudo docker run axxonsoft/axxon-one:latest
Info title Note If you need to install an earlier version of the Axxon One Docker image:
Open the link to select the required Axxon One Docker image.
Next to the required Docker image, click the button to copy the command.
Example of the command:Code Block language bash sudo docker pull axxonsoft/axxon-one:2.0.
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Paste the copied command into the terminal and run it.
Launch Docker using the following command:
Code Block language bash sudo docker run <image version>
For example:
Code Block language bash sudo docker run axxonsoft/axxon-one:2.0.
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Starting Axxon One
After installation, you can connect to the Docker Server with the separately installed Axxon One Client. To do this, when staring the Client, enter the IP address of the Docker Server, login and password in the authorization window (when you start Axxon One for the first time, enter the following login and password: root/root).
Commands that you might need:
- Determine the IP address to connect to:
Code Block docker inspect <container id> | grep "IPAddress"
- Learn <container id> as well as the container name and other information:
orCode Block docker ps
Code Block docker container ls
- Check the availability of the Server:
Code Block ping <ip address>
- View the running processes:
Code Block docker top <container name>
Installing and starting Axxon One using Docker is complete.