What are Datadog's "notebooks" used for?

Datadog's notebooks are specifically designed to facilitate collaborative sharing and presentation of data and insights. They allow teams to compile information from various sources, such as metrics, logs, and traces, into a cohesive format. This means users can create visualizations, annotate findings, and share these notebooks with colleagues, promoting better communication and collaboration within teams.

By combining data observations with detailed explanations, notebooks serve as a powerful tool for reporting and storytelling in data analysis. Teams can effectively present critical information and collaborate on insights in a more interactive and engaging manner, which enhances the overall understanding of application performance and operational metrics.

The other options focus on functionalities that are not part of what notebooks offer in Datadog, such as backups, machine learning model creation, or user interface design, which are managed through different features or tools within the platform.