Azure Batch
Overview
Azure Batch runs large-scale parallel and high-performance computing (HPC) applications efficiently in the cloud.
Real-life Use Cases
Cloud Architect: Design scalable scientific computing pipelines.
DevOps Engineer: Automate nightly ETL jobs for data warehouses.
Terraform Example
resource "azurerm_batch_account" "main" {
name = "mybatchaccount"
location = azurerm_resource_group.main.location
resource_group_name = azurerm_resource_group.main.name
}
Bicep Example
resource batchAccount 'Microsoft.Batch/batchAccounts@2023-05-01' = {
name: 'mybatchaccount'
location: resourceGroup().location
}
Azure CLI Example
az batch account create --name mybatchaccount --resource-group my-rg --location westeurope
Best Practices
Use pools for efficient resource allocation.
Monitor job queues for stuck jobs.
Common Pitfalls
Insufficient quotas for large jobs.
Not scaling compute pools appropriately.
Joke: Why did the batch job go to Azure? It heard it could process its feelings in parallel!
Last updated