Create Server Instance Using Command Line
Before you can deploy MATLAB® code with MATLAB
Production Server™, you must create a server instance to host your deployable archive. A server
instance is one unique configuration of the MATLAB
Production Server product. Each configuration has its own parameter settings file
main_config), as well as its own set of diagnostic files.
Before creating a server instance using the command line, ensure you have:
You can also run server commands from the
$MPS_INSTALL is the location where MATLAB
Production Server is installed. For example, on Windows, the default location is
C:\Program Files\MATLAB\MATLAB Production
ver is the version of MATLAB
To create a server instance from the command line, enter the
mps-new command from the system prompt. Specify the name of the
server that you want to create as an argument to the
mps-new [path\]server_name [-v]
path— path to the server instance and configuration that you want to create for use with the MATLAB Production Server product.
If you want to create a server instance in the current folder, you do not need to specify a full path; only specify the server name.
server_name— name of the server instance and configuration that you want to create.
-v— enable verbose output to get the information and status about each folder created in the server configuration.
For example, to create a server instance with the name
prod_server_1 located in
C:\tmp and use the
verbose mode, run the following on your system command prompt.
C:\tmp>mps-new prod_server_1 -v
The command generates the following output.
prod_server_1\.mps_version...ok prod_server_1\config\main_config...ok prod_server_1\.mps_socket...ok prod_server_1\auto_deploy...ok prod_server_1\endpoint...ok prod_server_1\log...ok prod_server_1\old_logs...ok prod_server_1\pid...ok prod_server_1\x509...ok The UUID of the newly created instance is 4876f876-56a6-40ef-a4e3-96a69b39cb49
For more information on the folders created in a server configuration, see Server Diagnostic Tools.
For creating server instances on the cloud, see Cloud Deployment.