Metrics powered by Grail overview (DPS)

  • Latest Dynatrace
  • Overview
  • 7-min read

For information about how usage of a specific capability translates to consumption of your DPS license commit, see

Metrics - Ingest & Process feature overview

Here's what's included with the Ingest & Process data-usage dimension:

ConceptExplanation

Data delivery

Delivery of metrics via OneAgent, extensions or ingest API

Topology enrichment

Enrichment of metrics with data source and topology metadata

Data transformation

  • Rollup of data to reduced granularity to optimize queries for longer timeframes
  • Use of efficient data structures to derive metrics from high volume spans like service response time metrics

Data-retention control

Manage data retention period of incoming metrics based on bucket assignment rules

Metrics - Retain feature overview

Here's what's included with the Retain data-usage dimension:

ConceptExplanation

Data availability

Retained data is accessible for analysis and querying until the end of the retention period. Metrics retention is defined at the bucket level, ensuring tailored retention periods for specific metrics.

Retention periods

Choose a desired retention period. For the default metrics bucket, the available retention period ranges from 15 months (462 days) to 10 years (3,657 days).

Metrics - Query feature overview

Here's what's included with the Query data-usage dimension:

ConceptExplanation
DQL query executionA DQL query scans and fetches data that is stored in Grail. Querying metrics using the timeseries command is always included.
App usageDQL queries can be executed by:

- Apps such as Notebooks Notebooks, Dashboards Dashboards, Workflows Workflows, and Anomaly Detection - new Anomaly Detection.
- Dashboard tiles that are based on metrics trigger the execution of DQL queries on refresh
- Custom apps
- The Dynatrace API
Related tags
Dynatrace Platform