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Update create-custom-compute-resources.md
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docs/core-env/create-custom-compute-resources.md

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# Creating Custom Compute Resources
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Genomics is a data-heavy workload and requires some modification to the defaults
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used for batch job processing. In particular, we need to be able to scale the
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storage used by the instances Tasks/Jobs run on to meet unpredictable runtime
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demands.
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used for batch job processing. In particular, instances running the Tasks/Jobs need scalable storage to meet unpredictable runtime demands.
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By default, AWS Batch relies upon the [Amazon ECS-Optimized AMI](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-optimized_AMI.html)
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as the image used to for instances it launches to run jobs. What this image
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provides is sufficient in most cases. Specialized needs, such as the large
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to launch container instances for running jobs. This is sufficient in most cases, but specialized needs, such as the large
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storage requirements noted above, require customization of the base AMI.
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This section provides two methods for customizing the base ECS-Optimized AMI
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that adds an expandable working directory that the Jobs will use to write data.
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That directory will be monitored by a process that inspects the free space
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available and adds more EBS volumes and expands the filesystem on the fly, like so:
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that adds an expandable working directory for jobs to write data.
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A process will monitor the directory and add more EBS volumes on the fly to expand the free space
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based on the capacity threshold, like so:
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![Autoscaling EBS storage](images/ebs-autoscale.png)
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need this when creating compute resources in AWS Batch.
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!!! note
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This is considered advanced use. All documentation and CloudFormation templates hereon assumes use of EC2 Launch Templates.
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This is considered advanced use. All documentation and CloudFormation templates hereon assumes use of EC2 Launch Templates.

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