SingleStore Notebooks are web-based Jupyter notebooks that enable developers to create, explore, visualize and collaborate on data analysis and workflows using SQL or Python code within the SingleStore environment. They support scheduled runs, can be shared with other users and run in separate containers for security, and enhance Jupyter Notebook capabilities by allowing direct querying of SingleStore's distributed SQL database. The notebooks facilitate routine checks and records the results, providing suggestions for common performance improvement scenarios such as plan warnings, shard and sort key summary, pipeline lag, and queries with repartitioning or broadcasting operations. To run the notebook, users need to import it into the notebooks section on the cloud portal, select the workspace and database, click Run All, provide a management API key, and download the generated reports in HTML format. The notebooks can be customized by modifying query information and HTML templates, which are exposed via S3 public buckets. SingleStore Notebooks also support scheduling, with only shared notebooks able to be scheduled, and offer features such as Secrets for handling sensitive data. By automating database performance checks on a schedule, users can proactively identify and address potential performance issues, ensuring optimal database system functioning.