# Running jobs
<a name="jobs"></a>

After you provision your application, submit jobs to the application. This section covers how to use the AWS CLI to run these jobs. This section also identifies the default values for each type of application that is available on EMR Serverless.

**Topics**
+ [Job run states](job-states.md)
+ [EMR Serverless job run cancellation with grace period](job-cancellation-grace-period.md)
+ [Running jobs from the EMR Studio console](jobs-studio.md)
+ [Running jobs from the AWS CLI](jobs-cli.md)
+ [Execution IAM policy](jobs-cli-execution.md)
+ [Using shuffle-optimized disks](jobs-shuffle-optimized-disks.md)
+ [Using serverless storage for Amazon EMR Serverless](jobs-serverless-storage.md)
+ [Streaming jobs for processing continuously streamed data](jobs-streaming.md)
+ [Using Spark configurations when you run EMR Serverless jobs](jobs-spark.md)
+ [Using Hive configurations when you run EMR Serverless jobs](jobs-hive.md)
+ [EMR Serverless Job resiliency](jobs-resiliency.md)
+ [Metastore configuration for EMR Serverless](metastore-config.md)
+ [Accessing S3 data in another AWS account from EMR Serverless](jobs-s3-access.md)
+ [Troubleshooting errors in EMR Serverless](jobs-troubleshoot.md)
+ [Enabling Job Level Cost Allocation](jobs-job-level-cost-allocation.md)