John-Mark Agosta shows how to use mrsdeploy to send R batch jobs up to an Azure VM:
Alternately there are other Azure platforms for operationalization using R Server in the Marketplace, with other operating systems and platforms including HDInsight, Microsoft’s Hadoop offering. Or, equivalently one could use the Data Science VM available in the Marketplace, since it has a copy of R Server installed. Configuration of these platforms is similar to the example covered in this posting.
- Microsoft R Server 2016 (version 9.0.1) for Linux (CentOS version 7.2)
- R Server Enterprise
- R Server for HDInsight
Provisioning an R Server VM, as reference in the documentation, takes a few steps that are detailed here, which consist of configuring the VM and setting up the server account to authorize remote access. To set up the server you’ll use the system account you set up as a user of the Linux machine. The server account is used for client interaction with the R Server, and should not be confused with the Linux system account. This is a major difference with the Windows version of the R Server VM that uses Active Directory services for authentication.
You can also use mrsdeploy to run batch jobs against Microsoft R Server on a local Hadoop cluster.