Azure Batch

Azure Batch is a managed cloud service that enables you to efficiently run large-scale parallel and high-performance computing (HPC) applications without managing infrastructure.

Key Concepts

Azure Batch abstracts away the complexity of configuring, scheduling, and processing large datasets with supercomputing best practices. It consists of several key components:

Getting Started with Azure Batch

Follow these steps to get started with Azure Batch:

  1. Create an Azure Batch Account: You can do this through the Azure portal, Azure CLI, or PowerShell.
  2. Create a Pool: Define the size and configuration of your compute nodes.
  3. Create a Job: Group your tasks together.
  4. Add Tasks: Define the commands or programs to run for each task.
  5. Monitor Your Jobs: Track the progress and output of your tasks.
Tip: Consider using Azure Container Instances (ACI) for simpler, single-instance tasks, and Azure Batch for large-scale parallel workloads.

Common Scenarios

Azure Batch is ideal for a wide range of parallel processing scenarios, including:

Code Examples

Here's a simple example of how you might define a task to run a command:


# Example task definition using Azure CLI
az batch task create --job-id my-batch-job --batch-account my-batch-account \
    --task-id task1 --command-line "echo Hello from Azure Batch!"
            
Note: For more complex applications, you can package your code and dependencies as an Azure Batch Application package.

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