What does Dynatrace's automatic root-cause analysis focus on?

Dynatrace's automatic root-cause analysis primarily focuses on commits, queries, and modifications because it is designed to provide insights into the performance and quality of applications by analyzing changes and their impact on application behavior. This includes monitoring the interactions between various components of an application, such as databases and the codebase itself, which can lead to performance issues or failures. By correlating these changes with performance metrics, Dynatrace can identify the underlying causes of problems more effectively.

In this context, understanding how commits and modifications affect application performance is crucial for developers and operators. It enables them to trace back performance degradations or errors to specific changes, making troubleshooting more efficient. The ability to analyze queries executed against databases also helps in identifying issues like slow response times or incorrect data handling.

The other options focus on narrower aspects that do not encompass the depth of analysis provided by Dynatrace. User interface interactions are certainly important, but they are just a part of the bigger picture. Service uptime is vital for availability but does not delve into the specifics of why an issue occurs. Network latency issues are critical as well, but they represent only one aspect of application performance, rather than the comprehensive approach offered by analyzing commits, queries, and modifications.