A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard.
Which solution will meet this requirement?
A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard.
Which solution will meet this requirement?
The most efficient solution involves directly reacting to Amazon RDS storage autoscaling events and publishing them to a custom CloudWatch metric. Creating an Amazon EventBridge rule to react to these specific events and then using an AWS Lambda function to publish the events to a CloudWatch custom metric provides a straightforward way to visualize these metrics. This avoids the complexity and potential delay introduced by creating metric filters in CloudWatch Logs through CloudTrail. Thus, creating an Amazon EventBridge rule and a Lambda function offers a more streamlined and direct method, which is better suited for visualizing RDS storage autoscaling events on a CloudWatch dashboard.
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While CloudTrail can capture RDS events and send them to CloudWatch Logs, creating a metric filter in CloudWatch Logs is more complex and indirect compared to using EventBridge and a Lambda function to publish custom metrics directly to CloudWatch.