Google announced Unattended Project Recommender, a new feature of Active Assist, Google’s collection of tools designed to help optimize Google Cloud environments. Unattended Project Recommender is intended to provide a “a one-stop shop” for discovering, reclaiming, and shutting down unattended cloud computing projects, via actionable and automatic recommendations powered by machine learning algorithms. Unattended Project Recommender, which is available through Google Cloud’s Recommender API, aims to address this by identifying projects that are likely abandoned based on API and networking activity, billing, usage of cloud services, and other signals. Unattended Project Recommender analyzes usage activity across all projects within an organization, including items like service accounts with authentication activity, API calls consumed, network ingress and egress, services with billable usage, active project owners, the number of active virtual machines, BigQuery jobs, and storage requests. Google Cloud customers can automatically export recommendations for investigation or use spreadsheets to interact with the data, as well as Google Workspace.