Early Adopter
Go to Metrics to open the Metrics browser, which is a cool tool for browsing all metrics available in your monitoring environment and making a quick metric-specific visualization.
Last 2 hours). Turn off Only show metrics reported after the start of the selected timeframe to see all metrics regardless of when they were last reported.Any, Yes, or No to filter the table by metrics that you have favorited.
Text—Select Text, enter a filter string, and then press Enter to list metrics that include the string in Metric name, Metric key, or Description.
Tag—Select Tag, enter a filter string, and then select a matching tag to list metrics that include the tag in Tags.
Unit—Select Unit, enter a filter string, and then select a matching metric unit (for example, Percent) to list metrics that have the selected Unit.
Favorites—Select Favorites and then select Yes (to list only favorited metrics) or No (to list only metrics that are not favorited).
Dimension—Select Dimension, enter a filter string, and then select a matching metric dimension (for example, Host) to list metrics that have the selected dimension.
If you combine filters, they are ANDed together. For example, if you set Dimension to Host and set Text to usage, the metrics browser lists all metrics with the Host dimension that also include the string usage in the Metric name, Metric key, or Description field.
Expand Details for any metric (row) in the table to see metric details and a visualization of the metric over the selected timeframe.
In this example, you can see values displayed in millions. This is order-of-magnitude notation (7.5M means "about 7.5 million" and not "exactly 7.5 million").
The order of magnitude here is selected automatically based on the size of the values. For example, the same metric measured over a shorter timeframe might be displayed in k values instead of M.

Examples of order-of-magnitude notation in Dynatrace:
For details, see Order-of-magnitude notation.
To add a metric to a classic dashboard
To provide contextual information for custom metrics (for example, to define the unit of measurement, or to provide display names or descriptions or even information such as lower and upper value ranges or Davis-relevant information), you can create metric metadata per metric key.
Once this information is provided, it becomes part of the metrics descriptor and can be queried via the API and used in the Metrics Browser and Data Explorer.
Metric metadata is fully configurable via API. For details, see Custom metric metadata.
To configure metric metadata for custom metrics via the web UI
score: A score metric is a metric where high values indicate a good situation, while low values indicate trouble. An example of such a metric is a success rate.error: An error metric is a metric where high values indicate trouble, while low values indicate a good situation. An example of such a metric is an error count.