SageMaker waste check
Oversized SageMaker Endpoint
oversized_sagemaker_endpoint
What it finds
Oversized SageMaker Endpoint: one of the SageMaker checks in the ml/ai optimization group. Checks in this group look for: machine learning endpoints and notebooks that are idle, stopped but still billing for storage, or larger than their workload needs.
Why it costs money
Hosted notebooks and endpoints bill for the instance hours and storage they hold, not for the models they serve.
How it is detected
Low CPU/memory utilization
Detection confidence: MEDIUM. This is the criterion from our public docs. It runs in a local scan with your own read-only credentials.
AWS's own tools
AWS has a check on the same resource, with narrower or different criteria.
Checked against the AWS documentation.
Run it yourself
Nothing leaves your machine. The local scan has no telemetry.