Configure Containers
When you start a container using the docker run
command, you can
configure its run time behavior. To do this, you can set environment variables inside
the container by using the -e
flag when you run the docker
run
command. This page describes some of the environment variables that
you can use to configure bat365® containers.
Configure Desktop Access Password
To change the password to access the desktop in the container via VNC or from a web browser in containers that allow this, you can use the following option:
-e PASSWORD=MyNewPassword
Add this option to the docker run
command when deploying the
container.
Configure Proxy Settings
If you are using a container inside a network that connects to the internet via a proxy server, you can specify your proxy server address when you run the container. If you are using MATLAB® with online licensing, you need to specify your proxy server to be a be able connect to the bat365 online licensing servers.
If you are using the MATLAB Container on Docker Hub, then specify the proxy server address using the environment variable
PROXY_SETTINGS
:-e PROXY_SETTINGS=<proxy-server-address>
If you are using the MATLAB Deep Learning Container on NVIDIA GPU Cloud for NVIDIA DGX, then specify the proxy server address using the environment variable
NGC_PROXY
:-e NGC_PROXY=<proxy-server-address>
Add these options to the docker run
command when deploying the
container.
You can specify the proxy server address using any of the following forms:
hostname:12345
shorthostname:12345
http://hostname:12345
http://username:password@hostname:12345
IPaddress:12345
where hostname
is the fully qualified domain name,
shorthostname
is the relative domain name, and
12345
is the port number.
Network License Manager
If your license is administrated via a network license manager, you can use this
license with bat365 containers. You can point to the location of the license in the
docker run
command. Add the option:
-e MLM_LICENSE_FILE=27000@MyLicenseServer
Add this option to the docker run
command when deploying the
container.
For more information, see License Requirements for MATLAB on Cloud Platforms.
Further Configuration Options
For advanced users, further configuration of the container deployment is available through additional Docker® options. For more information, see the Docker documentation.