Question

A media company needs to process nightly video rendering jobs. Each job is a self-contained executable that reads input files from Azure Blob Storage, produces output files, and requires no coordination with other jobs. The workload is highly parallel, runs for 3-4 hours each night, and has no work during the day. The company wants to minimize compute cost and eliminate the need to manage any VM infrastructure or scheduler themselves. Which Azure compute solution should the architect recommend?

Accepted Answer

Use Azure Batch with a pool configured to autoscale to zero when idle and provision low-priority (Spot) compute nodes.

Answer

Deploy a fixed set of Standard-tier VMs in an availability set and use a cron job on one VM to distribute rendering tasks.

Answer

Package each render job as an Azure Function and trigger them from a Blob Storage trigger on the Consumption plan.

Answer

Deploy an Azure Kubernetes Service cluster with a dedicated node pool that runs the rendering jobs continuously.