What does automated baselining in Dynatrace aim to determine?

Automated baselining in Dynatrace is focused on determining the best reference values for incoming application and service traffic. This process involves collecting extensive historical data about the performance of applications and services, enabling Dynatrace to define normal behavior patterns over time. By establishing these baselines, Dynatrace can effectively monitor deviations from expected performance, which allows for quicker identification of anomalies or performance issues.

When the system learns and adapts to traffic patterns, it ensures that these reference values reflect the typical load conditions, helping teams to recognize when performance deviates from what is considered normal. This insight is crucial for proactive performance management and helps in maintaining optimal application health.

The other options, while related to various aspects of application and service management, do not align with the primary goal of automated baselining in Dynatrace.