Set Up Metrics

Learn how to measure the data points you care about by configuring Metrics in your React Native app.

Sentry Metrics is currently in open beta, so be gentle - features are still in-progress and may have bugs. We recognize the irony. For any questions or feedback, you can reach us on Discord or GitHub.

Metrics for React Native are supported in Sentry React Native SDK version 5.19.0 and above.

Sentry metrics help you pinpoint and solve issues that impact user experience and app performance by measuring the data points that are important to you. You can track things like processing time, event size, user signups, and conversion rates, then correlate them back to tracing data in order to get deeper insights and solve issues faster.

Metrics work out of the box by calling Sentry.init, no further setup is required.

  dsn: '',
  // Only needed for SDK versions < 8.0.0
  // integrations: [
  //   Sentry.metrics.metricsAggregatorIntegration(),
  // ],

Counters are one of the more basic types of metrics and can be used to count certain event occurrences.

To emit a counter, do the following:

// Increment a counter by one for each button click.
Sentry.metrics.increment("button_click", 1, {
  tags: { browser: "Firefox", app_version: "1.0.0" },

Distributions help you get the most insights from your data by allowing you to obtain aggregations such as p90, min, max, and avg.

To emit a distribution, do the following:

// Add '15.0' to a distribution used for tracking the loading times for component.
Sentry.metrics.distribution("component_load_time", 15.0, {
  tags: { type: "important" },
  unit: "millisecond",

Sets are useful for looking at unique occurrences and counting the unique elements you added.

To emit a set, do the following:

// Add 'jane' to a set used for tracking the number of users that viewed a page.
Sentry.metrics.set("user_view", "jane");

Gauges let you obtain aggregates like min, max, avg, sum, and count. They can be represented in a more space-efficient way than distributions, but they can't be used to get percentiles. If percentiles aren't important to you, we recommend using gauges.

To emit a gauge, do the following:

// Add 2 to a gauge tracking CPU usage.
Sentry.metrics.gauge("cpu_usage", 34, {
  tags: { os: "MacOS" },
  unit: "percent",

Adding a unit as a metric parameter will give meaning to what may otherwise look like abstract numbers. It also allows Sentry to offer controls - unit conversions, filters, and so on - based on the unit you select. You can pass a unit as an optional parameter of the third argument of the increment, distribution, set, and gauge methods. If a value has no units, you can supply an empty string or none.

The following units are understood by the Sentry backend, but you can add any arbitrary unit you want.

  • nanosecond
  • microsecond
  • millisecond
  • second
  • minute
  • hour
  • day
  • week

  • bit
  • byte
  • kilobyte
  • kibibyte
  • megabyte
  • mebibyte
  • gigabyte
  • gibibyte
  • terabyte
  • tebibyte
  • petabyte
  • pebibyte
  • exabyte
  • exbibyte

  • ratio
  • percent

You can find additional details about supported units in our event ingestion documentation.

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