datadog_flutter_plugin 1.0.0-rc.1

Flutter bindings and tools for utilizing Datadog Mobile SDks

Flutter monitoring is in beta.

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 mobile Flutter Android and iOS applications.

Current Datadog SDK Versions

iOS SDK	Android SDK	Browser SDK
1.12.0-beta2	1.14.0-beta1	v4.11.2

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 Logging and RUM Browser SDKs. Note that the synchronous CDN-delivered version of the 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 Logging, Tracing, 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,
  ),
  tracingConfiguration: TracingConfiguration(
    sendNetworkInfo: 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.

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.

Troubleshooting

Cocoapods issues

If you have trouble building your iOS application after adding the Datadog SDK because of errors being thrown by Cocoapods, check which error you are getting. The most common error is an issue getting the most up-to-date native library from Cocoapods, which can be solved by running the following in your ios directory:

pod install --repo-update

Another common error is an issue loading the FFI library on Apple Silicon Macs. If you see an error similar to the following:

LoadError - dlsym(0x7fbbeb6837d0, Init_ffi_c): symbol not found - /Library/Ruby/Gems/2.6.0/gems/ffi-1.13.1/lib/ffi_c.bundle
/System/Library/Frameworks/Ruby.framework/Versions/2.6/usr/lib/ruby/2.6.0/rubygems/core_ext/kernel_require.rb:54:in `require'
/System/Library/Frameworks/Ruby.framework/Versions/2.6/usr/lib/ruby/2.6.0/rubygems/core_ext/kernel_require.rb:54:in `require'
/Library/Ruby/Gems/2.6.0/gems/ffi-1.13.1/lib/ffi.rb:6:in `rescue in <top (required)>'
/Library/Ruby/Gems/2.6.0/gems/ffi-1.13.1/lib/ffi.rb:3:in `<top (required)>'

Follow the instructions in the Flutter documentation for working with Flutter on Apple Silicon.

Set sdkVerbosity

If you're able to run your app, but you are not seeing the data you expect on the Datadog site, try adding the following to your code before calling DatadogSdk.initialize:

DatadogSdk.instance.sdkVerbosity = Verbosity.verbose;

This causes the SDK to output additional information about what it's doing and what errors it's encountering, which may help you and Datadog Support narrow down your issue.

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.

Further Reading

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