Azure Batch documentation

Azure Batch runs large-scale applications efficiently in the cloud. Schedule compute-intensive tasks and dynamically adjust resources for your solution without managing infrastructure.

• Batch documentation
• Overview
  • What is Azure Batch?
• Quickstarts
  • Create a Batch account and run a job - Azure CLI
  • Create a Batch account and run a job - Azure portal
  • Create a Batch account - Bicep
  • Create a Batch account - ARM template
  • Create a Batch account - Terraform
  • Create a Batch pool and run a job - .NET
  • Create a Batch pool and run a job - Python
  • Deploy a Batch account and two pools - Terraform
  • Deploy a Batch account and two pools with a start task - Terraform
• Tutorials
  • Parallel file processing - .NET
  • Parallel file processing - Python
  • OCR with Batch and Functions
  • Python scripts with Data Factory
• Samples
  • Code samples
    • Azure code samples
    • Batch samples repo
  • Azure CLI
    • Create a Batch account in Batch service mode
    • Create a Batch account in user subscription mode
    • Add an application to an Azure Batch account
    • Create and manage a Linux pool
    • Create and manage a Windows pool
    • Run a job and tasks
• Concepts
  • Security
    • Security controls by Azure Policy
    • Security baseline
    • Security best practices
  • Batch service workflow and resources
    • Batch accounts
    • Nodes and pools
    • Jobs and tasks
    • Files and directories
  • APIs and tools
  • Error handling and detection
  • Best practices
  • Quotas and limits
  • Supported VM sizes
  • Reliability in Azure Batch
  • Task runtime environment variables
  • Feature retirements
    • Active change, retirement, and end of life notices
    • Cloud Service Configuration Pools
    • Batch certificates
    • Pools without public IP addresses classic
    • Classic compute node communication model
    • VHD and Managed Images
    • TLS 1.0 and TLS 1.1
    • Job and pool lifetime statistics
    • Low-priority virtual machines
• How-to guides
  • Manage Batch accounts
    • Manage Batch accounts in the Azure portal
    • Manage Batch accounts with Batch Management .NET
    • Plan to manage costs for Azure Batch
    • Configure public network access with Batch accounts
    • Use private endpoints with Batch accounts
    • Manage private endpoint connections with Batch accounts
    • Configure customer-managed keys
    • Move between regions
    • Rotate Batch account keys
  • Authenticate with Microsoft Entra ID
    • Microsoft Entra ID with Batch service
    • Microsoft Entra ID with Batch Management
    • Securely access Key Vault with Batch
    • Role-based access control for Azure Batch service
  • Copy files and applications to pool nodes
    • Copying applications and data to pool nodes
    • Using application packages
    • Create resource files
  • Create and manage pools
    • Choose a VM size for compute nodes
    • Update pool properties
    • Create a pool in a virtual network
    • Use simplified compute node communication
    • Autoscale compute nodes
    • Configure access to compute nodes
    • Create a pool with Azure Compute Gallery
    • Create a pool with a managed image resource
    • Create a pool across Availability Zones
    • Create a pool with disk encryption enabled
    • Create a pool with public IP addresses
    • Create a simplified node communication pool without public IP addresses
    • Create a pool with ephemeral OS disk nodes
    • Create an Azure Batch pool with Auto OS Upgrade
    • Use extensions with pools
    • Configure managed identities
    • Enable certificate rotation
    • Mount a virtual file system
    • Mount an Azure file share
    • Use RDMA or GPU instances
    • Use Linux compute nodes
    • Use Azure Spot VMs
    • Checking for pool and node errors
  • Create a CI/CD pipeline for Batch
  • Manage jobs and tasks
    • Job preparation and completion tasks
    • Configure Container Data Isolation Task
    • Concurrent node tasks
    • Task dependencies
    • User accounts for running tasks
    • Submit a large number of tasks
    • Schedule jobs for efficiency
    • Check for job and task errors
  • Persist job and task output
    • Persist output with Batch API
    • Persist output with File Conventions library
  • Monitor Azure Batch
    • Monitor with Application Insights
    • Create efficient query lists
    • Count resources by state
  • Use scripting tools
    • Use Azure PowerShell
    • Use Azure CLI
    • Use Batch CLI templates
  • Use Batch JavaScript SDK
  • Run workloads
    • MPI
    • Container workloads
    • Rendering
      • Rendering using Azure
      • Batch rendering capabilities
      • Storage and data movement
      • Rendering architectures
    • Data processing with Batch and Data Factory
• Reference
  • Azure CLI
  • Azure PowerShell
  • .NET
  • Java
  • JavaScript
  • Python
  • REST
    • Batch Service
    • Batch Management
  • Resource Manager template
  • Monitoring data reference
  • Batch analytics
    • Pool create event
    • Pool delete start event
    • Pool delete complete event
    • Pool resize start event
    • Pool resize complete event
    • Pool autoscale event
    • Task start event
    • Task complete event
    • Task fail event
    • Task schedule fail event
  • Azure Policy built-ins
• Resources
  • Azure updates
  • Batch community
  • Batch Explorer
  • Batch feedback
  • Blog
  • HPC on Azure
  • Microsoft Q&A question page for Batch
  • Pricing
  • Pricing calculator
  • Resource Manager template
  • Service updates
  • Stack Overflow
  • Videos