SingleStoreDB is a high-performance database that allows users to transact, analyze, and contextualize data in real-time. It uses Universal Storage, which employs three storage tiers: in-memory rowstore, on-disk columnar store, and object storage. The on-disk columnar store stores warm data, while cold data resides solely in object storage. However, certain situations may result in no data being stored on the disk cache, impacting query performance. These scenarios include resuming a workspace or attaching an existing database to a new workspace. To address this issue, users can "warm up" their cluster by querying their data, which involves reading blobs from object storage and persisting them to disk. This process can be automated using a notebook provided by SingleStoreDB. By warming up the disk cache, users can avoid latency penalties when querying data that resides on disk versus object storage.