Azure Batch processing began with mainframe computers and punch cards. Today it still plays a central role in business, engineering, science, and other pursuits that require running lots of automated tasks—processing bills and payroll, calculating portfolio risk, designing new products, rendering animated films, testing software, searching for energy, predicting the weather, and finding new cures for disease. Previously only a few had access to the computing power for these scenarios. With Azure, that power is available to you when you need it, without a massive capital investment.
Batch runs the applications that you use on workstations and clusters today. It’s easy to cloud-enable your executables and scripts to scale out. Batch provides a queue to receive the work you want to run and executes your applications. Describe the data that need to be moved to the cloud for processing, how the data should be distributed, what parameters to use for each task, and the command line to start the process. Think about this like an assembly line with multiple applications. Batch makes it easy to share data between steps and manage the execution as a whole.
You use a workstation today, maybe a small cluster, or you wait in a queue to run your jobs. What if you had access to 16 cores, 100 cores, 10,000 cores, or even 100,000 cores when you needed them, and only had to pay for what you used? With Batch you can. Avoid the bottlenecks and waiting that limit your imagination. What could you do on Azure that you can’t do today?
At the core of Batch is a high-scale job scheduling engine, available to you as a managed service. Use our scheduler in your application to dispatch work. Batch can also work with cluster job schedulers or behind the scenes of your SaaS service. You don’t need to write your own work queue, dispatcher, or monitor. Batch provides you this as a service.
Batch takes care of starting a pool of compute virtual machines for you when you’re ready to run a job, installing applications and staging data, running jobs with as many tasks as you have, identifying failures and re-queuing work, and scaling down the pool as work completes. You have control over scale to meet deadlines, manage costs, and run at the right scale for your application.
Batch lets your processing happen on demand, not on a pre-defined schedule. Let your users run jobs on the cloud when they need to. You can easily provide them a solution with Batch and manage who can access it and how many resources they can use, and ensure that requirements such as encryption are met. Rich monitoring helps you to know what’s going and identify problems. Detailed reporting helps you track usage.
Run your rendering jobs in the cloud using Batch. Avoid the complexities of managing resources and reduce the time needed to complete your jobs. Check out the set of samples that let you use Batch together with Blender, a free open-source 3D animation suite that supports the entirety of the 3D pipeline—modeling, rigging, animation, simulation and motion tracking, even game creation. Whether you’re an individual or a studio, you can rely on Batch for photorealistic rendering, fast rigging, and amazing simulations and game creation. Batch provides the resources to render animation in a realistic timeframe to meet project deadlines.