What happens to high-resolution data after the retention period in Dynatrace?

In Dynatrace, after the retention period for high-resolution data expires, the data is typically aggregated for long-term trending. This process allows organizations to maintain valuable insights and trends over time without consuming as much storage space as high-resolution data would require.

Aggregating data includes summarizing detailed metrics into broader categories or time frames, which helps in preserving the overall performance trends and patterns while reducing the granularity of the data. For instance, minute-by-minute data may be aggregated to hourly averages. This practices not only conserves storage but also keeps essential performance insights accessible for analysis without the need for extensive data storage costs or management.

The other options generally do not align with how Dynatrace manages high-resolution data after its retention period. While it's important to retain certain insights, direct deletion or archiving may not serve the needs for ongoing performance monitoring and analysis, which is why aggregation is the chosen method.