Middleware Flutter OpenTelemetry SDK for Flutter

Middleware Flutter OTel is an OpenTelemetry SDK for Flutter applications built on the Middleware OpenTelemetry SDK, providing comprehensive observability for Flutter applications across all platforms.

Demo

The Wondrous OpenTelemetry project instruments the Wondrous App for observability with Middleware Flutter OTel. The main.dart and router.dart show how to set up your app with Middleware Flutter OpenTelemetry.

Overview

Flutterrific OpenTelemetry implements the OpenTelemetry specification for Flutter, enabling developers to collect traces, metrics, and logs from Flutter applications. OpenTelemetry is a vendor-neutral standard for observability and is the second most active Cloud Native Computing Foundation (CNCF) project, after Kubernetes.

Why OpenTelemetry for Flutter?

Report Errors: Get notified of errors in real time with structured context
App Lifecycle: Track when users launch, pause, resume, and quit
Watch Your Users: Understand navigation flows and improve conversion rates
Get Metrics: Measure route load times, frame rates, and APDEX scores in production
Structured Logs: Emit OTel Events for lifecycle, navigation, errors, and custom telemetry
Future-Proof: OpenTelemetry is an industry standard with broad ecosystem support
Vendor Neutral: Works with any OpenTelemetry-compatible backend (Grafana, Elastic, Datadog, etc.)
Cross-Platform: Supports all Flutter platforms (Android, iOS, Web, Desktop)
Performance: Designed for minimal overhead in production applications

Features

🚀 Simple Integration: Get started with just a few lines of code
👣 Automatic Instrumentation: Navigation, app lifecycle, and user interaction tracking
📹 Session Replay: Lightweight Session replay of application.
📊 Performance Metrics: Web vitals, APDEX scores, and custom performance metrics
🧩 Widget Extensions: Easy-to-use extensions for widget-level observability
🐞 Error Tracking: Comprehensive error handling and reporting
📐 Standards Compliant: Full adherence to OpenTelemetry specification
🌐 Multi-Platform: Supports Android, iOS, Web, and Desktop platforms
💪 Context Propagation: Seamless trace correlation across async boundaries
🔧 Configurable Sampling: Multiple sampling strategies for cost optimization
🧷 Type-Safe Semantics: Strongly-typed semantic conventions

Quick Start

1. Add Dependency

dependencies:
  middleware_flutter_opentelemetry: ^1.0.0

2. Initialize

import 'package:flutter/material.dart';
import 'package:middleware_flutter_opentelemetry/flutterrific_otel.dart';

  // Initialize error handling
  FlutterError.onError = (FlutterErrorDetails details) {
    FlutterOTel.reportError(
      'FlutterError.onError', details.exception, details.stack);
  };

  runZonedGuarded(() {
    // Initialize OpenTelemetry
    FlutterOTel.initialize(
      serviceName: 'my-flutter-app',
      serviceVersion: '1.0.0',
      tracerName: 'main',
      middlewareAccountKey: "*****", // Obtain from RUM Flutter installation page
      endpoint: 'https://<account>.middleware.io',  
      // Configure your exporter endpoint
      resourceAttributes: {
        'env': 'production',
        'service.namespace': 'mobile-apps',
      }
    );
    
    runApp(MyApp());
  }, (error, stack) {
    FlutterOTel.reportError('Zone Error', error, stack);
  });
}

3. Add the Route Observer

For GoRouter:

final router = GoRouter(
  observers: [FlutterOTel.routeObserver],
  routes: [ /* ... */ ],
);

For standard Navigator:

MaterialApp(
  navigatorObservers: [FlutterOTel.routeObserver],
  // ...
);

That's it. With these three steps, your app automatically emits traces, metrics, and log events for all lifecycle changes, navigation, and errors.

Signals In Depth

Traces

Every auto-instrumented event creates a short, independent span with its own trace ID. This avoids the problem of a single long-running trace spanning the entire app session.

// Access the tracer for custom spans
final tracer = FlutterOTel.tracer;

// Create a custom span
final span = tracer.startSpan('fetch_user_data',
  kind: SpanKind.client,
  attributes: {'user.id': userId}.toAttributes(),
);
try {
  final result = await apiClient.getUser(userId);
  span.setStatus(SpanStatusCode.Ok);
  return result;
} catch (e, stackTrace) {
  span.recordException(e, stackTrace: stackTrace);
  span.setStatus(SpanStatusCode.Error, e.toString());
  rethrow;
} finally {
  span.end();
}

The UITracer provides convenience methods:

Method	Description
`startSpan()`	Start a span (must be ended manually)
`recordNavChange()`	Record a navigation change (starts and ends span)
`recordUserInteraction()`	Record a user interaction (starts and ends span)
`recordError()`	Record an error with stack trace
`recordPerformanceMetric()`	Record a performance measurement
`startNavigationChangeSpan()`	Start a navigation span (caller ends it)
`startAppLifecycleSpan()`	Start a lifecycle span (caller ends it)

Metrics

Metrics are automatically collected via OTelMetricsBridge:

Metric	Type	Description
`flutter.frame.duration`	Histogram	Frame rendering times (ms)
`flutter.page.load_time`	Histogram	Page load times (ms)
`flutter.navigation.duration`	Histogram	Navigation transition times (ms)
`flutter.errors.count`	Counter	Error count
`flutter.interaction.response_time`	Histogram	User interaction response times (ms)
`flutter.paint.duration`	Histogram	Paint operation durations (ms)
`flutter.layout.shift_score`	Histogram	Layout shift scores
`flutter.apdex.score`	Gauge	APDEX performance index

You can also record custom metrics:

// Using FlutterOTelMetrics
FlutterOTelMetrics.recordMetric(
  name: 'my_custom_metric',
  value: 42,
  unit: 'ms',
  metricType: 'histogram',
);

// Or directly with a Meter
final meter = FlutterOTel.meter(name: 'my-feature');
meter.createCounter(name: 'feature.usage', unit: '{count}')
  .add(1, {'feature.name': 'dark_mode'}.toAttributes());

Logs (OTel Events)

The Log Signal emits structured OTel Events — log records with an EventName field that identifies the event type. This follows the emerging OTel client instrumentation standard.

UILogger

UILogger wraps the SDK Logger with Flutter-specific convenience methods:

final logger = FlutterOTel.logger('my-feature');

// Standard log levels
logger.info('Feature loaded');
logger.warn('Cache miss');
logger.error('Failed to fetch data');

// Structured OTel Events
logger.emitEvent('user.action',
  body: 'Button tapped',
  attributes: {'button.id': 'submit'}.toAttributes(),
);

// Flutter error logging
FlutterError.onError = (details) {
  logger.emitFlutterError(details);
};

// Lifecycle events (auto-emitted when enableAutoLogEvents is true)
logger.emitLifecycleEvent('resumed', previousState: 'paused');

// Navigation events (auto-emitted when enableAutoLogEvents is true)
logger.emitNavigationEvent('/details', fromRoute: '/home', action: 'push');

Auto Log Events

When enableAutoLogEvents is true (the default), Flutterrific automatically emits structured log events for:

Event Name	Trigger	Key Attributes
`device.app.lifecycle`	App lifecycle state change	`app_lifecycle.state`, `app_lifecycle.previous_state`, `app_lifecycle.duration`
`browser.navigation`	Route change	`navigation.route.name`, `navigation.previous_route_name`, `navigation.action`
`device.app.error`	`FlutterOTel.reportError()`	`error.type`, `error.message`, `exception.stacktrace`

Set enableAutoLogEvents: false in initialize() to disable automatic log events while keeping manual logger access.

Semantic Conventions

Flutterrific uses strongly-typed semantic enums for all attribute keys, following OTel conventions.

From the OTel Spec (via Dartastic API)

These enums come from the standard OTel semantic conventions:

NavigationSemantics — navigation.route.name, navigation.action, etc.
AppLifecycleSemantics — app_lifecycle.state, app_lifecycle.duration, etc.
ErrorSemantics — error.type, error.message, etc.
InteractionSemantics — interaction.type, interaction.target, etc.
PerformanceSemantics — render.duration, frame.rate, etc.
SessionViewSemantics — view.name, session.id, etc.
UserSemantics — user.id, user.role, etc.

Flutter-Specific Proposals

These enums are defined in FlutterSemantics and are proposed additions to the OTel client instrumentation spec. They cover areas not yet standardized:

FlutterErrorSemantics — error.context, error.widget, error.widget_context, error.location
FlutterPerformanceSemantics — perf.metric.name, perf.duration_ms
FlutterUISemantics — ui.type
FlutterScrollSemantics — scroll.position
FlutterRedirectSemantics — redirect.to
FlutterLifecycleMetricSemantics — lifecycle.state (metric context)
FlutterRouteMetricSemantics — route.name, route.action, navigation.from_route, navigation.to_route
FlutterEventNames — device.app.lifecycle, device.app.error, browser.navigation

Configuration

Initialize Options

await FlutterOTel.initialize(
  // Required
  serviceName: 'my-app',

  // Optional — all have sensible defaults
  appName: 'My App',                    // defaults to serviceName
  serviceVersion: '1.0.0',
  endpoint: 'https://collector:4317',   // defaults to localhost:4317

  // Traces
  spanProcessor: null,                  // auto-creates BatchSpanProcessor
  sampler: AlwaysOnSampler(),
  flushTracesInterval: Duration(seconds: 30),

  // Metrics
  enableMetrics: true,
  metricExporter: null,                 // auto-creates platform-specific exporter
  metricReader: null,                   // auto-creates PeriodicExportingMetricReader

  // Logs
  enableLogs: true,
  logRecordExporter: null,              // auto-creates platform-specific exporter
  logRecordProcessor: null,
  logPrint: false,                      // bridge Dart print() to OTel logs
  enableAutoLogEvents: true,            // auto-emit lifecycle/nav/error events

  // Resources
  resourceAttributes: null,
  detectPlatformResources: true,
  commonAttributesFunction: null,       // called on every span creation

  // Security
  secure: true,
  dartasticApiKey: null,
  tenantId: null,
);

Platform-Specific Exporters

Flutterrific automatically selects the right protocol:

Platform	Traces	Metrics	Logs
Android, iOS, Desktop	OTLP/gRPC	OTLP/gRPC	OTLP/gRPC
Web	OTLP/HTTP	OTLP/HTTP	OTLP/HTTP

Web browsers cannot use gRPC due to browser limitations, so Flutterrific automatically switches to HTTP for web builds.

Common Attributes

Use commonAttributesFunction to add attributes to every span (e.g., user ID, session info):

await FlutterOTel.initialize(
  serviceName: 'my-app',
  commonAttributesFunction: () => {
    UserSemantics.userId.key: currentUser.id,
    UserSemantics.userRole.key: currentUser.role,
    SessionViewSemantics.sessionId.key: sessionManager.currentSessionId,
  }.toAttributes(),
);

Environment Variables

Standard OpenTelemetry environment variables are supported via --dart-define:

flutter run \
  --dart-define=OTEL_SERVICE_NAME=my-flutter-app \
  --dart-define=OTEL_SERVICE_VERSION=1.0.0 \
  --dart-define=OTEL_EXPORTER_OTLP_ENDPOINT=https://collector:4317 \
  --dart-define=OTEL_EXPORTER_OTLP_PROTOCOL=grpc \
  --dart-define=OTEL_EXPORTER_OTLP_HEADERS=api-key=your-api-key

Variable	Description	Default
`OTEL_EXPORTER_OTLP_ENDPOINT`	Collector endpoint	`http://localhost:4317`
`OTEL_EXPORTER_OTLP_PROTOCOL`	Protocol (`grpc` or `http/protobuf`)	`grpc`
`OTEL_EXPORTER_OTLP_HEADERS`	Additional headers	None
`OTEL_SERVICE_NAME`	Service name	None
`OTEL_SERVICE_VERSION`	Service version	None
`OTEL_LOG_LEVEL`	SDK internal log level	`INFO`
`OTEL_CONSOLE_EXPORTER`	Add console exporter for debugging	`false`

Signal-specific variables (OTEL_EXPORTER_OTLP_TRACES_*, OTEL_EXPORTER_OTLP_METRICS_*) are also supported and take precedence.

Developer's Guide

Widget-Level Tracking

// Track button interactions
ElevatedButton(
  onPressed: handleSubmit,
  child: Text('Submit'),
).withOTelButtonTracking('submit_form');

// Error boundaries
RiskyWidget().withOTelErrorBoundary('risky_operation');

// Track interactions via the interaction tracker
FlutterOTel.interactionTracker.trackButtonClick(context, 'submit_btn');
FlutterOTel.interactionTracker.trackScroll(context, 'feed_list', scrollPosition);
FlutterOTel.interactionTracker.trackSwipeGesture(context, 'card', 'left');

Manual Screen Spans

// Start a screen span (creates a new trace)
final span = FlutterOTel().startScreenSpan('checkout');

// ... user interacts with screen ...

// End when leaving
FlutterOTel().endScreenSpan('checkout');

Error Reporting

// Report errors from any zone
FlutterOTel.reportError('network_error', error, stackTrace,
  attributes: {'endpoint': '/api/users'},
);

// In Flutter error handler
FlutterError.onError = (details) {
  FlutterOTel.reportError(
    'FlutterError', details.exception, details.stack);
};

// For async errors
PlatformDispatcher.instance.onError = (error, stack) {
  FlutterOTel.reportError('PlatformError', error, stack);
  return true;
};

Custom OTel Events

final logger = FlutterOTel.logger('checkout');

// Emit a structured event
logger.emitEvent('checkout.completed',
  body: 'Order placed successfully',
  attributes: {
    'order.id': orderId,
    'order.total': total,
    'payment.method': 'credit_card',
  }.toAttributes(),
);

Testing

For widget tests, use SimpleSpanProcessor with ConsoleExporter to avoid gRPC timer conflicts with FakeAsync:

import 'package:flutterrific_opentelemetry/flutterrific_opentelemetry.dart';

Future<void> initializeForTest() async {
  await FlutterOTel.initialize(
    endpoint: 'http://localhost:4317',
    serviceName: 'test-service',
    spanProcessor: SimpleSpanProcessor(ConsoleExporter()),
    enableMetrics: false,
    enableLogs: false,
    flushTracesInterval: null,   // No periodic timer in tests
    detectPlatformResources: false,
  );
}

// In tests:
setUp(() async {
  await FlutterOTel.reset();
  await initializeForTest();
});

tearDown(() async {
  await FlutterOTel.reset();
});

Local Development

Run an OpenTelemetry collector locally:

# Grafana LGTM stack (Loki, Grafana, Tempo, Mimir) — all-in-one
docker run -p 3000:3000 -p 4317:4317 -p 4318:4318 --rm -ti grafana/otel-lgtm

Then open Grafana at http://localhost:3000 to see traces, metrics, and logs.

Flushing Data

// Force flush all pending data (traces, metrics, logs)
FlutterOTel.forceFlush();

By default, traces are flushed every 30 seconds. Set flushTracesInterval to change this, or null to disable periodic flushing.

Cleanup

// Clean up on app shutdown
FlutterOTel().dispose();

3. Session Replay

Flutter SDK has the capability of session recording, to start session recording call FlutterOTel.startSessionRecording();
& to stop session recording call FlutterOTel.stopSessionRecording()

class MyAppState extends State<MyApp> {
  
  @override
  void initState() {
    Timer(Duration(milliseconds: 500), () {
      FlutterOTel.startSessionRecording();
    });
    super.initState();
  }
  
  @override
  void dispose(){
    try {
      FlutterOTel.stopSessionRecording();
    } catch (e) {}
    super.dispose();
  }

  @override
  Widget build(BuildContext context) {
    return RepaintBoundary(
        key: FlutterOTel.repaintBoundaryKey,
        child: ...;
  }
}

Recording Quality

Control the session replay frame quality with RecordingOptions, passed to FlutterOTel.initialize. The defaults are tuned for low bandwidth; raise qualityValue (and optionally minShortSidePx) for a sharper replay.

import 'package:middleware_flutter_opentelemetry/middleware_flutter_opentelemetry.dart';

FlutterOTel.initialize(
  serviceName: 'my-flutter-app',
  tracerName: 'main',
  middlewareAccountKey: '*****',
  endpoint: 'https://<account>.middleware.io',
  // Medium quality preset (good balance of clarity vs. bandwidth):
  recordingOptions: const RecordingOptions(
    qualityValue: 35,    // JPEG quality 1–100 (default 10). ~35 is medium.
    minShortSidePx: 480, // Frame short-side resolution (default 320).
  ),
);

RecordingOptions knobs:

Option	Default	Description
`qualityValue`	`10`	JPEG quality (1–100). Low ≈ 10, medium ≈ 35, high ≈ 60.
`minShortSidePx`	`320`	Frames are scaled so the short side is this many pixels.
`screenshotInterval`	`500 ms`	How often a frame is captured.
`archiveChunkSize`	`10`	Frames bundled per upload batch.

Tip: bandwidth grows quickly with quality. Avoid qualityValue above ~60 unless you also lower minShortSidePx.

Platform Support

Platform	Support Level	Protocol	Notes
Android	Full	OTLP/gRPC	Complete feature support
iOS	Full	OTLP/gRPC	Complete feature support
Web	Full	OTLP/HTTP	Auto-switches due to browser limitations
Windows	Beta	OTLP/gRPC	Desktop support
macOS	Beta	OTLP/gRPC	Desktop support
Linux	Beta	OTLP/gRPC	Desktop support

Environment Variables

Middleware OpenTelemetry supports standard OpenTelemetry environment variables as defined in the OpenTelemetry Specification.

These environment variables can be set to configure the SDK behavior without changing code. Signal-specific variables take precedence over general ones.

Service Configuration

Variable	Description	Example
`OTEL_SERVICE_NAME`	Sets the service name	`my-dart-app`
`OTEL_SERVICE_VERSION`	Sets the service version	`1.0.0`
`OTEL_RESOURCE_ATTRIBUTES`	Additional resource attributes as comma-separated key=value pairs	`environment=production,region=us-west`

OTLP Exporter Configuration

Variable	Description	Default	Example
`OTEL_EXPORTER_OTLP_ENDPOINT`	The OTLP endpoint URL	`http://localhost:4317` for gRPC, `http://localhost:4318` for HTTP	`https://otel-collector:4317`
`OTEL_EXPORTER_OTLP_PROTOCOL`	The protocol to use	`http/protobuf`	`grpc`, `http/protobuf`, `http/json`
`OTEL_EXPORTER_OTLP_HEADERS`	Additional headers as comma-separated key=value pairs	None	`api-key=secret,tenant=acme`
`OTEL_EXPORTER_OTLP_INSECURE`	Whether to use insecure connection	`false`	`true`
`OTEL_EXPORTER_OTLP_TIMEOUT`	Export timeout in milliseconds	`10000`	`5000`
`OTEL_EXPORTER_OTLP_COMPRESSION`	Compression to use	None	`gzip`

Signal-Specific Configuration

Traces

Variable	Description	Default	Example
`OTEL_TRACES_EXPORTER`	Trace exporter to use	`otlp`	`console`, `none`
`OTEL_EXPORTER_OTLP_TRACES_ENDPOINT`	Traces-specific endpoint	Uses general endpoint	`https://traces.example.com`
`OTEL_EXPORTER_OTLP_TRACES_PROTOCOL`	Traces-specific protocol	Uses general protocol	`grpc`
`OTEL_EXPORTER_OTLP_TRACES_HEADERS`	Traces-specific headers	Uses general headers	`trace-key=value`
`OTEL_EXPORTER_OTLP_TRACES_INSECURE`	Traces-specific insecure setting	Uses general setting	`true`
`OTEL_EXPORTER_OTLP_TRACES_TIMEOUT`	Traces-specific timeout	Uses general timeout	`30000`
`OTEL_EXPORTER_OTLP_TRACES_COMPRESSION`	Traces-specific compression	Uses general compression	`gzip`

Metrics

Variable	Description	Default	Example
`OTEL_METRICS_EXPORTER`	Metrics exporter to use	`otlp`	`console`, `none`
`OTEL_EXPORTER_OTLP_METRICS_ENDPOINT`	Metrics-specific endpoint	Uses general endpoint	`https://metrics.example.com`
`OTEL_EXPORTER_OTLP_METRICS_PROTOCOL`	Metrics-specific protocol	Uses general protocol	`http/protobuf`
`OTEL_EXPORTER_OTLP_METRICS_HEADERS`	Metrics-specific headers	Uses general headers	`metric-key=value`
`OTEL_EXPORTER_OTLP_METRICS_INSECURE`	Metrics-specific insecure setting	Uses general setting	`false`
`OTEL_EXPORTER_OTLP_METRICS_TIMEOUT`	Metrics-specific timeout	Uses general timeout	`60000`
`OTEL_EXPORTER_OTLP_METRICS_COMPRESSION`	Metrics-specific compression	Uses general compression	`gzip`

Logging Configuration

Variable	Description	Example
`OTEL_LOG_LEVEL`	SDK internal log level	`TRACE`, `DEBUG`, `INFO`, `WARN`, `ERROR`, `FATAL`
`OTEL_LOG_METRICS`	Enable metrics logging	`true`, `1`, `yes`, `on`
`OTEL_LOG_SPANS`	Enable spans logging	`true`, `1`, `yes`, `on`
`OTEL_LOG_EXPORT`	Enable export logging	`true`, `1`, `yes`, `on`
`OTEL_CONSOLE_EXPORTER`	Add console exporter for debugging	`true`, `1`, `yes`, `on`

Usage Example with Flutter

When running a Flutter app:

flutter run \
  --dart-define=OTEL_SERVICE_NAME=my-flutter-app \
  --dart-define=OTEL_SERVICE_VERSION=1.0.0 \
  --dart-define=OTEL_EXPORTER_OTLP_ENDPOINT=https://otel-collector:4317 \
  --dart-define=OTEL_EXPORTER_OTLP_PROTOCOL=grpc \
  --dart-define=OTEL_EXPORTER_OTLP_HEADERS=Authorization=your-api-key

Advanced Usage

Custom Tracing

void fetchUserData() async {
  final tracer = FlutterOTel.tracer;
  
  final span = tracer.startSpan('fetch_user_data', attributes: {
    'user.id': userId,
    'api.endpoint': '/users',
  });
  
  try {
    final result = await apiClient.getUser(userId);
    span.setStatus(SpanStatusCode.Ok);
    return result;
  } catch (e, stackTrace) {
    span.recordException(e, stackTrace: stackTrace);
    span.setStatus(SpanStatusCode.Error, e.toString());
    rethrow;
  } finally {
    span.end();
  }
}

Widget-Level Tracking

// Track button interactions
ElevatedButton(
  onPressed: handleSubmit,
  child: Text('Submit'),
).withOTelButtonTracking('submit_form');

// Track text field
TextField(
  decoration: const InputDecoration(
    labelText: 'Enter something',
    border: OutlineInputBorder(),
  ),
).withOTelTextFieldTracking('demo_text_field')

// Error boundaries
RiskyWidget().withOTelErrorBoundary('risky_operation');

## Configuration

### Environment Variables

Standard OpenTelemetry environment variables are supported:

```bash
# Exporter endpoint
--dart-define=OTEL_EXPORTER_OTLP_ENDPOINT=https://your-collector:4317

# Protocol selection (default is http/protobuf as per OTel spec)
--dart-define=OTEL_EXPORTER_OTLP_PROTOCOL=grpc

# Service information
--dart-define=OTEL_SERVICE_NAME=my-flutter-app
--dart-define=OTEL_SERVICE_VERSION=1.0.0
```

### Local Development

For local development, run an OpenTelemetry collector on localhost:4317, the default. 

```bash
docker run -p 3000:3000 -p 4317:4317 -p 4318:4318 --rm -ti grafana/otel-lgtm
```

Examples

Basic Integration Example
Flutter_Wonderous OpenTelemetry - Complete app example based on Wonderous

Contributing

We are looking for contributors and maintainers! Please see our Contributing Guide for details.

Development Setup

# Clone the repository
git clone https://github.com/middleware-labs/flutter-sdk.git
cd flutter-sdk

# Install dependencies
make install

# Run tests
make test

# Run all checks
make all

Governance

This project follows the CNCF Code of Conduct and maintains open governance. We welcome community participation and contributions.

Security

Security vulnerabilities should be reported privately to the maintainers. See our Security Policy for details.

Roadmap

See our Roadmap for planned features and improvements.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Community

GitHub Issues - Bug reports and feature requests
OpenTelemetry Community - Broader OpenTelemetry community

Acknowledgments

Built on the foundation of:

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
.github		.github
demo		demo
example/lib		example/lib
lib		lib
test		test
tool		tool
.coveragerc		.coveragerc
.gitignore		.gitignore
.lcovrc		.lcovrc
.metadata		.metadata
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
DEVELOPMENT.md		DEVELOPMENT.md
GOVERNANCE.md		GOVERNANCE.md
LICENSE		LICENSE
Makefile		Makefile
PUBLICATION_CHECKLIST.md		PUBLICATION_CHECKLIST.md
README.md		README.md
SECURITY.md		SECURITY.md
VERSIONING.md		VERSIONING.md
analysis_options.yaml		analysis_options.yaml
pubspec.yaml		pubspec.yaml
run_coverage.sh		run_coverage.sh

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Middleware Flutter OpenTelemetry SDK for Flutter

Demo

Overview

Why OpenTelemetry for Flutter?

Features

Quick Start

1. Add Dependency

2. Initialize

3. Add the Route Observer

Signals In Depth

Traces

Metrics

Logs (OTel Events)

UILogger

Auto Log Events

Semantic Conventions

From the OTel Spec (via Dartastic API)

Flutter-Specific Proposals

Configuration

Initialize Options

Platform-Specific Exporters

Common Attributes

Environment Variables

Developer's Guide

Widget-Level Tracking

Manual Screen Spans

Error Reporting

Custom OTel Events

Testing

Local Development

Flushing Data

Cleanup

3. Session Replay

Recording Quality

Platform Support

Environment Variables

Service Configuration

OTLP Exporter Configuration

Signal-Specific Configuration

Traces

Metrics

Logging Configuration

Usage Example with Flutter

Advanced Usage

Custom Tracing

Widget-Level Tracking

Examples

Contributing

Development Setup

Governance

Security

Roadmap

License

Community

Acknowledgments

About

Resources

License

Contributing

Security policy

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