Logging and monitoring in DataBrew
Monitoring is an important part of maintaining the reliability, availability, and performance of DataBrew and your AWS solutions. You should collect monitoring data from all of the parts of your AWS solution so that you can more easily debug a multipoint failure if one occurs. AWS provides several tools for monitoring your DataBrew resources and responding to potential incidents:
- Amazon CloudWatch Alarms
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Using Amazon CloudWatch alarms, you watch a single metric over a time period that you specify. If the metric exceeds a given threshold, a notification is sent to an Amazon SNS topic or AWS Auto Scaling policy. CloudWatch alarms don't invoke actions because they are in a particular state. Rather, the state must have changed and been maintained for a specified number of periods.
- AWS CloudTrail Logs
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CloudTrail provides a record of actions taken by a user, role, or an AWS service in DataBrew. Using the information collected by CloudTrail, you can determine the request that was made to DataBrew, the IP address from which the request was made, who made the request, when it was made, and additional details.
