> For the complete documentation index, see [llms.txt](https://docs.scanner.dev/scanner/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.scanner.dev/scanner/using-scanner-complete-feature-reference/data-ingestion/sources/aws-aurora.md).

# AWS Aurora

Scanner supports AWS Aurora logs, which is log data related to serverless databases in AWS. In order for Scanner to see them, you can publish these logs to CloudWatch, forward to Kinesis Data Firehose, and then write them into an S3 bucket that Scanner is linked to.

## Collect logs in S3

{% stepper %}
{% step %}

### Aurora to CloudWatch

Follow the AWS documentation to configure your Aurora database to export some or all of its log types to CloudWatch. This will create one or more new CloudWatch log groups.

See: [Publishing Amazon Aurora MySQL logs to Amazon CloudWatch Logs](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Integrating.CloudWatch.html).
{% endstep %}

{% step %}

### CloudWatch to Kinesis Data Firehose

Configure your new CloudWatch log groups to push their logs to a Kinesis Data Firehose.

See: [Send CloudWatch Logs to Firehose](https://docs.aws.amazon.com/firehose/latest/dev/writing-with-cloudwatch-logs.html).
{% endstep %}

{% step %}

### Kinesis Data Firehose to S3

A Kinesis Data Firehose can push logs to various destinations. We want to push to an S3 bucket that Scanner is linked to. Follow the AWS documentation to configure the Firehose to write to an S3 bucket.

See: [Understand data delivery in Amazon Data Firehose](https://docs.aws.amazon.com/firehose/latest/dev/basic-deliver.html).
{% endstep %}
{% endstepper %}

## Create an Index Rule

Once Aurora logs are landing in your S3 bucket, [Create an Index Rule](/scanner/using-scanner-complete-feature-reference/data-ingestion/create-an-index-rule.md) to ingest the logs via Scanner Collect for fast search and detections.


---

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