Azure Batch¶
Azure Batch enables organizations to process large volumes of data and run compute-intensive tasks at scale. It is suitable for batch jobs, high-performance computing (HPC), and parallel workloads.
Scenario¶
A media production company needs to render high-definition videos, a compute-heavy task. On-premises servers are slow and costly to scale. Azure Batch distributes rendering jobs across many virtual machines (VMs), accelerating delivery and optimizing costs.
Challenges¶
Challenge | On-Premises | Azure Batch |
---|---|---|
Scalability | Limited | Elastic |
Cost | High | Optimized |
Speed | Slow | Fast |
Monitoring | Manual | Built-in |
Resource Usage | Fixed | Dynamic |
Solution Overview¶
Azure Batch is a cloud-native job scheduler for large-scale parallel and HPC workloads. It automates VM provisioning, job distribution, monitoring, and diagnostics. Low-priority VMs can be used for further cost savings.
Key Features:
- Automatic scaling of compute resources
- Job scheduling and orchestration
- Built-in monitoring and diagnostics
- Support for low-priority (discounted) VMs
Implementation Steps¶
-
Provision resources
- Create an Azure Batch account
- Set up an Azure Storage account for input/output data
- Configure a pool of VMs (choose VM size and count)
-
Secure credentials:
- Store secrets in Azure Key Vault
- Use managed identities for secure access
-
Submit jobs:
- Upload rendering tasks to Azure Batch
- Monitor progress via Azure Monitor and diagnostics
-
Optimize costs:
- Use low-priority VMs for non-urgent jobs
- Scale pools dynamically based on workload
Benefits¶
- Scalability: Instantly scale up or down based on demand
- Cost Efficiency: Use low-priority VMs and pay only for what you use
- Speed: Distribute workloads for faster completion
- Security: Manage credentials securely with Key Vault
- Observability: Monitor jobs and troubleshoot with built-in tools
Azure Resources¶
- Azure Batch Account
- Azure Storage Account
- Virtual Machines (VMs)
- Azure Key Vault
- Azure Monitor