
    AWS Batch introduces resource aware scheduling, allowing jobs to consume limited resources like license tokens and bandwidth while reducing job failures and optimizing infrastructure utilization.


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<p>
AWS Batch has introduced resource aware scheduling, a new feature that enhances job management by tracking consumable resources (CRs).
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<ul>
<li>Supports tracking resources like license tokens, database bandwidth, and budgetary limits</li>
<li>Allows creating and managing consumable resources via AWS Batch Console and new APIs</li>
<li>Users can associate up to 5 consumable resources with AWS Batch jobs</li>
<li>Aims to reduce job failures and wasted compute time</li>
<li>Available across all AWS Batch compute environments and regions</li>
</ul>
<p>
The feature helps developers, scientists, and engineers optimize batch processing for machine learning, simulations, and analysis by intelligently managing limited resources.
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AWS Batch now supports resource aware scheduling

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