Batch

Azure Batch allows customers to distribute workloads over groups of VMs to leverage Azure’s scalability and utility computing model to run tasks that benefit from distributed computing power. The service is useful for running jobs such as payroll processing, software builds and test passes, media file encoding, graphics rendering, and artificial intelligence (AI) modeling. Batch handles tasks that comprise the traditional programming pattern of batch processing, such as managing and scaling compute instances, ingesting application and data files, and returning output files.

Service Overview 

The main benefit of Batch is its ability to distribute a workload across a collection of VMs, called a pool, which can range in scale from dozens to hundreds of thousands of VMs. The service has an Autoscale feature (separate from Azure Monitor‘s Autoscale capability) that customers configure to define how the service adds or removes VMs in a pool to arrive at results more quickly or avoid unnecessary