This topic explains how to use the Metrics list to view, search, and filter metrics in your project.
The Metrics list is the central location for reviewing and managing all metrics in a project. From this list, you can find metrics by name, tag, maintainer, or type, and understand how they connect to experiments, guarded rollouts, and metric groups. To learn how to create, edit, archive, or delete metrics, read Creating and managing metrics.
The list displays indicators that help you understand how each metric is performing, how many experiments and guarded rollouts use the metric, which feature last used the metric, and whether the metric is still receiving event data.
By default, LaunchDarkly hides archived metrics from the Metrics list, experiment setup screens, and metric selection menus. To view them, turn on the Show archived filter in the Metrics list.
In the left sidebar, expand Data, then select Metrics to open the metrics list.
Metrics in the list are labeled by their type: “Page view”, “Clicked or tapped”, “Binary”, “Count”, or “Numeric”. Metrics that are connected to a guarded rollout are labeled with “Release guardrail”.
Each row in the list provides high-level information about a metric’s usage and activity within the selected project and environment.
By default, the table displays the following columns for both individual metrics and metric groups:
You can also display additional columns:
You can show or hide any of the columns, including the default ones.
Use tooltips to learn more about each column. For example, hovering over Connected experiments or Connected guarded releases shows the count of active connections grouped by environment.
Open the Metrics list from the left sidebar under Data.
You can use the Metrics list to search, filter, sort, and customize how metrics appear in your project.
You can search for metrics by any of the following attributes:
This allows you to find metrics even when you only remember their underlying event or partial description.
Select a metric name to open its details page and review its configuration, connections, and activity. To learn more about metric details, read Creating and managing metrics.
Filters help you focus the list on metrics most relevant to your work. You can apply multiple filters at the same time.
Available filters include:
The filter bar remains visible while you browse so you can adjust filters without leaving the list.
Sorting helps you prioritize metrics based on activity and usage.
By default, the list sorts metrics by Most active connections, which ranks metrics according to how many active experiments or guarded rollouts they are part of.
You can also sort metrics by:
Sorting by activity surfaces the most widely used and trusted metrics, so you can reuse proven definitions instead of creating new ones.
Use options in the Display menu to customize columns to show or hide in the table for both metrics and metric groups. By default, the table displays Experiments, Guarded releases, Last used in, Events seen, and Sources. You can also display Total connections and Created on.
Your selections are stored in your browser’s local storage and persist between sessions. This lets you tailor the list to focus on the information that matters most to your role or workflow.
The Metrics list provides rich information at a glance to help you understand each metric’s activity and connections across your project. Tooltips for column values provide additional details about metrics and their use in LaunchDarkly features. You can also perform quick actions with metrics that you discover in the Metrics list.
Entries in the “Name” column show the metric name and type, as well as any tags associated with the metric. Clicking a tag automatically filters the metric list by that tag. Tooltips show the complete definition for the metric.
Entries in the “Experiments” and “Guarded releases” columns highlight the metric’s use and activity in LaunchDarkly features, to promote discoverability and trust. Tooltips show the environment(s) where the metric is active in an experiment or guarded rollout.
You can use the drop-down menu in the “Actions” column to copy a metric’s key or clone the metric definition, creating a new metric. You can archive the metric if was never connected to an experiment or guarded rollout. Active, event-rich metrics are generally safer to reuse across teams.
The metrics section includes several tabs for viewing related resources:
These tabs help you navigate between related metrics resources in one place.
After you find the metric you want to work with, you can: