Azure Batch Documentation

Advanced Topics for Azure Batch

This section covers advanced patterns, performance tuning, security, and integration techniques for Azure Batch.

Performance Tuning
Security
Autoscaling
Integration

Performance Tuning

Optimizing Azure Batch for high‑throughput workloads involves careful configuration of compute node sizing, task parallelism, and data locality.

# Sample PowerShell script to set node size and enable task scheduling
$pool = New-AzBatchPool -Id "myPool" -VmSize "Standard_D4s_v3" -TargetDedicated 10 -TargetLowPriority 20
$pool | Set-AzBatchPool -EnableAutoScale $true -AutoScaleFormula "`n$TargetDedicated = $TargetLowPriority = 0;\n$NodeIdleTimeout = 1800;\n$TaskTimeout = 7200;\n$MinDedicated = 5;\n$MaxDedicated = 20;`n"`

Security Best Practices

# Example: Assign a Managed Identity to a Batch pool
az batch pool create \
  --id securePool \
  --vm-size Standard_D2s_v3 \
  --target-dedicated-nodes 2 \
  --identity-type SystemAssigned

Autoscaling Strategies

Define dynamic scaling formulas based on pending tasks, CPU usage, or custom metrics.

# Auto-scale formula example
$TargetDedicated = $PendingTaskCount > 0 ? 10 : 2;
$TargetLowPriority = $PendingTaskCount > 0 ? 20 : 5;

Integrating with Other Azure Services

Leverage Azure Functions, Event Grid, and Storage to build end‑to‑end pipelines.

// Azure Function trigger example (C#)
public static async Task Run([BlobTrigger("batch-input/{name}", Connection = "AzureWebJobsStorage")] Stream myBlob, string name, ILogger log)
{
    // Submit a Batch job when a new blob arrives
    await BatchClient.SubmitJobAsync(name, myBlob);
}