Question

A data science team runs several SageMaker notebook instances for interactive experimentation. Finance reports that these notebooks accumulate significant monthly charges because engineers frequently leave them running overnight and over weekends without active use. The ML engineer must reduce these idle costs while requiring minimal ongoing operational effort and without preventing engineers from resuming work quickly the next day. What is the MOST cost-effective approach?

Accepted Answer

Attach a lifecycle configuration script to the notebook instances that monitors kernel activity and automatically stops the instance after a configurable idle period.

Answer

Migrate all interactive work to a single large always-on notebook instance shared by the entire team to consolidate costs.

Answer

Replace the notebook instances with a SageMaker real-time endpoint that scales to zero when there is no traffic.

Answer

Send a daily email reminder asking engineers to manually stop their notebook instances before leaving work.