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Google today 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, Google says, via actionable and automatic recommendations powered by machine learning algorithms.
In enterprise environments, it’s not uncommon for cloud resources to occasionally be forgotten about. Not only can these resources can be difficult to identify, but they also tend to create a lot of headaches for product teams down the road — including unnecessary waste. A recent Anodot survey found fewer than 20% of companies were able to immediately detect spikes in cloud costs and 77% of companies with over $2 million in cloud costs were often surprised by how much they spent.
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. As product managers Dima Melnyk and Bakh Inamov explain in a blog post, the tool was first tested with teams at Google over the course of 2021, where it was used to clean up internal unattended projects and eventually the…