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Overview
With the Datadog Flutter integration, spend less time triaging issues and more time releasing new features by:
Debugging the root cause of slow performance issues and application crashes in third-party libraries, network requests, or large media files
Improving application responsiveness, setting up service level indicators (SLIs), and diagnosing issues with out-of-the-box dashboards, real-time metrics, and deobfuscated crash reports
Intelligently grouping high-volume application errors into a manageable set of unique issues
Correlate the impact of the user experience on your business by:
Analyzing critical mobile user experience data such as screen engagement by demographics, version releases, or any custom attributes, to reach your business KPIs
Automatically correlating every user journey with a timeline of session events and attributes including ID, cellular activity, referral URL, and more
Understanding user behavior trends with customizable analytics and geographical maps
Monitor the end-to-end health of your Flutter application by:
Pivoting from your user experience data to backend traces, runtime metrics, and logs for the complete context when investigating issues
Debugging crashes faster by unifying client-side and server-side metrics, traces, and logs
Unifying full-stack monitoring in a single platform for frontend and backend teams
Setup
Collect RUM events
To start collecting Real User Monitoring events from your application, see Flutter Monitoring.
Collect traces
Your Flutter application automatically sends traces to Datadog.
Collect logs
To start forwarding your Flutter application’s logs to Datadog, see Flutter Log Collection.
Data Collected
Metrics
The Flutter integration does not include any metrics. To generate custom metrics from your RUM application, see Generate Metrics.
