Which type of data might be modeled under the Performance data model in ES?

The Performance data model in Splunk Enterprise Security is specifically designed to handle data related to the performance and health of systems and applications. System resource utilization metrics fit perfectly into this category as they provide insights into how resources such as CPU, memory, disk I/O, and network bandwidth are used by systems. Monitoring these metrics is crucial for identifying performance bottlenecks, ensuring optimal resource allocation, and maintaining overall system health.

In contrast, the other types of data mentioned, such as network connection timings, user login attempts, and error logs from applications, fall into different categories that are better suited for other data models. Network connection timings are typically related to network performance, user login attempts pertain to authentication and user behavior, and error logs from applications focus on application stability and issues. These types of data would be managed within their respective data models rather than the Performance data model, which is explicitly tailored for resource utilization and system performance insights.