Overview
These samples showcase common scale-out strategies within Azure Batch, including:
- Job Pools with Scale Units: Demonstrates how to configure and manage job pools using scale units to dynamically adjust compute resources.
- Parallel Processing: Examples illustrating the execution of multiple tasks concurrently to leverage the parallel processing capabilities of Azure Batch.
- Task Dependencies: Shows how to define and manage task dependencies to ensure tasks are executed in the correct order.
- Dynamic Scaling: Samples demonstrating the use of Azure Batch's dynamic scaling features for optimized resource utilization.
Sample Links
Scale-Out Job Pool
A sample demonstrating the creation and management of a scale-out job pool with dynamic scale units.
Parallel Processing Example
An example showcasing the execution of multiple tasks in parallel.
Task Dependencies Example
Illustrates how to define and manage task dependencies using the TaskDependencies element.
Dynamic Scaling Example
Demonstrates the use of dynamic scaling to adapt compute resources based on workload demands.