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Flutter bindings and tools for utilizing Datadog Mobile SDks

Overview #

Datadog Real User Monitoring (RUM) enables you to visualize and analyze the real-time performance and user journeys of your Flutter application’s individual users.

RUM supports monitoring for Flutter Android and iOS applications for Flutter 2.8+.

Current Datadog SDK Versions #

iOS SDK Android SDK Browser SDK
1.14.0 1.16.0 4.x.x

iOS #

Your iOS Podfile must have use_frameworks! (which is true by default in Flutter) and target iOS version >= 11.0.

Android #

On Android, your minSdkVersion must be >= 19, and if you are using Kotlin, it should be version >= 1.5.31.

Web #

⚠️ Datadog support for Flutter Web is still in early development

On Web, add the following to your index.html under your head tag:

<script type="text/javascript" src="https://www.datadoghq-browser-agent.com/datadog-logs-v4.js"></script>
<script type="text/javascript" src="https://www.datadoghq-browser-agent.com/datadog-rum-slim-v4.js"></script>

This loads the CDN-delivered Datadog Browser SDKs for Logs and RUM. The synchronous CDN-delivered version of the Datadog Browser SDK is the only version supported by the Flutter plugin.

Setup #

Specify application details in the UI #

  1. In the Datadog app, navigate to UX Monitoring > RUM Applications > New Application.
  2. Choose Flutter as the application type.
  3. Provide an application name to generate a unique Datadog application ID and client token.

{{< img src="real_user_monitoring/flutter/image_flutter.png" alt="Create a RUM application in Datadog workflow" style="width:90%;">}}

To ensure the safety of your data, you must use a client token. For more information about setting up a client token, see the Client Token documentation.

Create configuration object #

Create a configuration object for each Datadog feature (such as Logs and RUM) with the following snippet. By not passing a configuration for a given feature, it is disabled.

// Determine the user's consent to be tracked
final trackingConsent = ...
final configuration = DdSdkConfiguration(
  clientToken: '<CLIENT_TOKEN>',
  env: '<ENV_NAME>',
  site: DatadogSite.us1,
  trackingConsent: trackingConsent,
  nativeCrashReportEnabled: true,
  loggingConfiguration: LoggingConfiguration(
    sendNetworkInfo: true,
    printLogsToConsole: true,
  ),
  rumConfiguration: RumConfiguration(
    applicationId: '<RUM_APPLICATION_ID>',
  )
);

For more information on available configuration options, see the DdSdkConfiguration object documentation.

Initialize the library #

You can initialize RUM using one of two methods in the main.dart file.

  1. Use DatadogSdk.runApp, which automatically sets up error reporting and resource tracing.

    await DatadogSdk.runApp(configuration, () async {
      runApp(const MyApp());
    })
    
  2. Alternatively, you can manually set up error tracking and resource tracking. Because DatadogSdk.runApp calls WidgetsFlutterBinding.ensureInitialized, if you are not using DatadogSdk.runApp, you need to call this method prior to calling DatadogSdk.instance.initialize.

    runZonedGuarded(() async {
      WidgetsFlutterBinding.ensureInitialized();
      final originalOnError = FlutterError.onError;
      FlutterError.onError = (details) {
        FlutterError.presentError(details);
        DatadogSdk.instance.rum?.handleFlutterError(details);
        originalOnError?.call(details);
      };
    
      await DatadogSdk.instance.initialize(configuration);
    
      runApp(const MyApp());
    }, (e, s) {
      DatadogSdk.instance.rum?.addErrorInfo(
        e.toString(),
        RumErrorSource.source,
        stackTrace: s,
      );
    });
    

Send Logs #

After initializing Datadog with a LoggingConfiguration, you can use the default instance of logs to send logs to Datadog.

DatadogSdk.instance.logs?.debug("A debug message.");
DatadogSdk.instance.logs?.info("Some relevant information?");
DatadogSdk.instance.logs?.warn("An important warning…");
DatadogSdk.instance.logs?.error("An error was met!");

You can also create additional loggers with the createLogger method:

final myLogger = DatadogSdk.instance.createLogger(
  LoggingConfiguration({
    loggerName: 'Additional logger'
  })
);

myLogger.info('Info from my additional logger.');

Tags and attributes set on loggers are local to each logger.

Track RUM views #

The Datadog Flutter Plugin can automatically track named routes using the DatadogNavigationObserver on your MaterialApp.

MaterialApp(
  home: HomeScreen(),
  navigatorObservers: [
    DatadogNavigationObserver(DatadogSdk.instance),
  ],
);

This works if you are using named routes or if you have supplied a name to the settings parameter of your PageRoute.

Alternately, you can use the DatadogRouteAwareMixin property in conjunction with the DatadogNavigationObserverProvider property to start and stop your RUM views automatically. With DatadogRouteAwareMixin, move any logic from initState to didPush.

Note that, by default, DatadogRouteAwareMixin uses the name of the widget as the name of the View. However, this does not work with obfuscated code as the name of the Widget class is lost during obfuscation. To keep the correct view name, override rumViewInfo:

class _MyHomeScreenState extends State<MyHomeScreen>
    with RouteAware, DatadogRouteAwareMixin {

  @override
  RumViewInfo get rumViewInfo => RumViewInfo(name: 'MyHomeScreen');
}

Automatic Resource Tracking #

You can enable automatic tracking of resources and HTTP calls from your RUM views using the Datadog Tracking HTTP Client package. Add the package to your pubspec.yaml, and add the following to your initialization:

final configuration = DdSdkConfiguration(
  // configuration
  firstPartyHosts: ['example.com'],
)..enableHttpTracking()

In order to enable Datadog Distributed Tracing, the DdSdkConfiguration.firstPartyHosts property in your configuration object must be set to a domain that supports distributed tracing. You can also modify the sampling rate for Datadog distributed tracing by setting the tracingSamplingRate on your RumConfiguration.

Data Storage #

Android #

Before data is uploaded to Datadog, it is stored in cleartext in your application's cache directory. This cache folder is protected by Android's Application Sandbox, meaning that on most devices, this data can't be read by other applications. However, if the mobile device is rooted, or someone tampers with the Linux kernel, the stored data might become readable.

iOS #

Before data is uploaded to Datadog, it is stored in cleartext in the cache directory (Library/Caches) of your application sandbox, which can't be read by any other app installed on the device.

Contributing #

Pull requests are welcome. First, open an issue to discuss what you would like to change.

For more information, read the Contributing guidelines.

License #

For more information, see Apache License, v2.0.