doAzureParallel Lightweight R Package Built on Azure Batch, DSv2-Fs-Series VMs in US Gov Virginia Announced

Instant file recovery preview for Azure Linux VM backups, flexible compute directly from R session with new doAzureParallel.

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Instant file recovery for Azure Linux Virtual Machine backups now in preview, enables you to restore files immediately from the Azure Recovery Services Vault with no additional cost and no infrastructure.

Last month, the feature also became available for Azure Windows VM backups.

The general availability of DSv2-Series and Fs-Series virtual machines (VMs) are now available in the US Gov Virginia.

Customers who are already utilizing DS-Series VMs in US Gov Virginia, "DSv2 offers similar memory and disk," but with "more powerful CPUs based on 2.4 GHz Intel Xeon E5-2673 v3 (Haswell) processors and run about 35 percent faster," says Azure team.

And other, Fs-Series VMs announced, also having similar CPU and memory configurations as F-Series, but additionally provide the "ability to utilize SSDs."

In addition the team said, DSv2 and FS VM sizes will also be available in US Gov Arizona and US Gov Texas regions at launch.

Below you can see the DSv2 and FS series instances:

DSv2-Series Azure Gov VMs
DSv2-Series Azure Gov VMs
New Fs-Series Azure Gov VMs
New Fs-Series Azure Gov VMs

doAzureParallel, a lightweight R package built on top of Azure Batch, that allows you to easily use Azure's flexible compute resources right from your R session is now available.

doAzureParallel package complements Microsoft R Server and provides infrastructure to run massively parallel simulations for "the popular foreach package that let execute multiple processes across a cluster of Azure virtual machines."

With doAzureParallel, there is no need to manually create, configure and manage a cluster of individual VMs. With just a few lines of code, it "helps to create and manage a cluster in Azure, and register it as a parallel backend to be used with foreach," the Azure team said.

And, with Azure Batch's autoscaling capabilities, "it's also possible to increase or decrease cluster size to fit workloads."

doAzureParallel also uses Azure Data Science Virtual Machine (DSVM), "allowing Azure Batch to easily and quickly configure the appropriate environment in as little time as possible," added Azure team.

R Session with doAzureParallel
R Session with doAzureParallel