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Updated Batch intro to remove reference to serverless execution
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content/06-batch-automation/_index.md

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@@ -33,7 +33,7 @@ AWS Batch provisions compute resources and optimizes the job distribution based
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This lab requires an AWS Cloud9 IDE. If you do not have an AWS Cloud9 IDE set up, complete the **[Prepartion](/02-aws-getting-started.html)** section of the workshop
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{{% /notice %}}
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In this workshop, you will learn how to use container orchestrators like AWS Batch and deploy an architecture for automated job submission in AWS Batch using serverless functions.
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In this workshop, you will learn how to use container orchestrators like AWS Batch and deploy an architecture for genomics pipeline execution on AWS Batch.
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In this lab you will run a basic pipeline for quantification of genomic features from short read data implemented with [Nextflow](https://www.nextflow.io/index.html)
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This includes the following steps:
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- Create an object store bucket in S3 to store your results.
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- Set up the infrastructure for AWS Batch.
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- Run a sample genomics pipeline on AWS Batch.
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- Setup automation of job submission using Amazon CloudWatch and Amazon S3.
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- Run automated simulations on AWS Batch.
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- Monitor your jobs
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- Cleanup
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