dt-obs-predictive-analytics

To forecast Dynatrace metrics for capacity planning, this Skill applies statistical models and time series analysis to predict future resource saturation. It relies on DQL queries to retrieve data and the timeseries-forecast tool to generate predictions.

To detect anomalies in Dynatrace time series data, this Skill characterizes signal behavior to identify unusual patterns across hosts and services. It processes metric data retrieved via DQL to pinpoint deviations from expected trends.

Yes, you need the timeseries-forecast tool to run predictive analytics on Dynatrace metrics with this Skill. It is a required dependency for executing the statistical forecasting and trend detection logic.

The best way to predict CPU saturation in Dynatrace hosts is using this Skill to forecast future metric values for the next 30 days. It applies time series analysis to DQL-retrieved data to identify upcoming capacity issues.

Yes, you can forecast service request volume and detect unusual error rates using Dynatrace data. This Skill applies time series forecasting to analyze trends and characterize signal behavior across your infrastructure.