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Auto-instruments RUM, Logs, Error Tracking, Performance Monitoring, and provisions Dashboards, Monitors & SLOs.","maintainers":[{"name":"edurand-perceptyx","email":"edurand@perceptyx.com"}],"readme":"# datadog-frontend-toolkit\n\n> Enterprise-grade, framework-agnostic frontend observability toolkit for Datadog.\n\nOne `init()` call to auto-instrument **RUM**, **Logs**, **Error Tracking**, **Performance Monitoring**, and auto-provision **Dashboards**, **Monitors**, **SLOs** & **Burn Rate Alerts** in Datadog.\n\n---\n\n## Features\n\n- **Zero-config observability** — single `init()` bootstraps everything\n- **Framework agnostic** — works with React, Vue, Angular, Svelte, vanilla JS\n- **Full TypeScript support** — complete type declarations and IntelliSense\n- **Structured LoggerService** — `debug`, `info`, `warn`, `error`, `critical` with auto-forwarding to Datadog\n- **Global Error Boundary** — catches unhandled errors + promise rejections automatically\n- **Web Vitals tracking** — LCP, CLS, FID, INP, FCP, TTFB with threshold alerts\n- **Network interception** — monitors XHR/Fetch for failures and slow requests\n- **PII sanitization** — auto-redacts emails, credit cards, passwords from logs\n- **Resource provisioning CLI** — auto-creates Dashboards, Monitors, SLOs, and Burn Rate Alerts\n- **Environment-aware SLO targets** — 99.5% for production, 95% for non-production\n- **Google SRE burn rate alerts** — multi-window, multi-burn-rate alerting with auto-clamped thresholds\n- **Traffic-aware thresholds** — `--load-size` calibrates monitor thresholds to your app's traffic volume\n- **Resource teardown** — `--remove` flag deletes all managed resources for a service/environment\n- **Plugin system** — extend with custom integrations\n- **Lifecycle hooks** — `beforeInit`, `afterInit`, `beforeLog`, `beforeError`\n- **Child loggers** — scoped context for module-specific logging\n- **Session replay** — configurable recording with privacy controls\n- **Consent mode** — GDPR-friendly opt-in tracking\n- **Retry with backoff** — resilient API communication\n- **Throttling** — prevents log flooding during error storms\n\n---\n\n## Installation\n\n```bash\nnpm install datadog-frontend-toolkit\n```\n\n> `@datadog/browser-rum` and `@datadog/browser-logs` are included as dependencies — no need to install them separately.\n\n---\n\n## Quick Start\n\n```typescript\nimport { init } from 'datadog-frontend-toolkit';\n\nconst observatory = init({\n  clientToken: 'pub-xxxxxxxxxxxxxxxxxxxx',\n  applicationId: 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',\n  service: 'my-frontend-app',\n  env: 'production',\n  version: '1.2.3',\n});\n\n// That's it! RUM, Logs, Error Tracking, and Performance Monitoring are now active.\n\n// Use the logger anywhere\nobservatory.logger.info('Application started');\nobservatory.logger.error('Payment failed', new Error('timeout'), { orderId: 'abc-123' });\n```\n\n---\n\n## API Reference\n\n### `init(config): ObservabilitySDK`\n\nInitializes the SDK. Call once at application bootstrap.\n\n```typescript\nimport { init } from 'datadog-frontend-toolkit';\n\nconst observatory = init({\n  // Required\n  clientToken: 'pub-xxx',\n  applicationId: 'xxx-xxx',\n  service: 'my-app',\n  env: 'production',\n\n  // Optional\n  version: '1.0.0',\n  site: 'datadoghq.com',\n  debug: false,\n  logLevel: 'warn',\n\n  // Sampling\n  sampling: {\n    sessionSampleRate: 100,\n    sessionReplaySampleRate: 20,\n    traceSampleRate: 100,\n  },\n\n  // Error tracking\n  errorTracking: {\n    enabled: true,\n    unhandledRejections: true,\n    consoleErrors: true,\n    ignorePatterns: ['ResizeObserver loop'],\n    maxErrorsPerMinute: 100,\n  },\n\n  // Performance\n  performance: {\n    webVitals: true,\n    longTasks: true,\n    resourceTiming: true,\n  },\n\n  // Network\n  network: {\n    enabled: true,\n    excludeUrls: [/analytics/, 'hotjar.com'],\n    failedOnly: false,\n  },\n\n  // Privacy\n  privacy: {\n    defaultPrivacyLevel: 'mask-user-input',\n    piiFields: ['ssn', 'dob'],\n    requireConsent: false,\n  },\n\n  // User context\n  user: {\n    id: 'user-123',\n    name: 'John Doe',\n    email: 'john@example.com',\n    plan: 'enterprise',\n  },\n\n  // Global context for all events\n  globalContext: {\n    team: 'frontend',\n    region: 'us-east-1',\n  },\n\n  tags: ['team:frontend', 'product:checkout'],\n\n  // APM correlation\n  allowedTracingUrls: ['https://api.myapp.com'],\n\n  // Lifecycle hooks\n  hooks: {\n    beforeLog: (level, message) => {\n      // Return false to skip this log\n      return !message.includes('noisy-module');\n    },\n    afterInit: () => {\n      console.log('Observability ready!');\n    },\n  },\n});\n```\n\n### Logger\n\n```typescript\nconst logger = observatory.logger;\n\n// Standard levels\nlogger.debug('Detailed info for development');\nlogger.info('User signed in', { userId: '123' });\nlogger.warn('Deprecation notice', { feature: 'old-api' });\nlogger.error('Request failed', new Error('500'), { endpoint: '/api/users' });\nlogger.critical('Database unreachable', new Error('ECONNREFUSED'));\n\n// Timed operations\nconst result = await logger.time('fetchUsers', async () => {\n  return await fetch('/api/users');\n});\n\n// Child loggers with scoped context\nconst authLogger = logger.child({ module: 'auth' });\nauthLogger.info('Login attempt'); // includes { module: 'auth' } in every log\n\n// Scoped context\nlogger.setContext({ requestId: 'req-456' });\nlogger.info('Processing'); // includes requestId in context\nlogger.clearContext();\n```\n\n### User Context\n\n```typescript\n// Set user after login\nobservatory.setUser({\n  id: 'user-123',\n  name: 'Jane Doe',\n  email: 'jane@example.com',\n  plan: 'enterprise',\n});\n\n// Clear on logout\nobservatory.clearUser();\n```\n\n### SPA View Tracking\n\n```typescript\n// Call on route change\nobservatory.setView('/dashboard');\nobservatory.setView('/settings/profile');\n```\n\n### Custom Actions\n\n```typescript\nobservatory.trackAction('add_to_cart', {\n  productId: 'prod-456',\n  price: 29.99,\n  currency: 'USD',\n});\n```\n\n### Error Capture\n\n```typescript\ntry {\n  await riskyOperation();\n} catch (error) {\n  observatory.captureError(error, {\n    operation: 'riskyOperation',\n    userId: 'user-123',\n  });\n}\n\n// Capture a message\nobservatory.captureMessage('Feature flag evaluation failed', {\n  flag: 'new-checkout',\n});\n```\n\n### Performance Marks\n\n```typescript\nobservatory.mark('checkout-start');\n// ... checkout logic ...\nobservatory.mark('checkout-end');\nconst duration = observatory.measure('checkout', 'checkout-start', 'checkout-end');\n```\n\n### Session Replay\n\n```typescript\nobservatory.startSessionReplay();\nobservatory.stopSessionReplay();\n```\n\n### Global Context\n\n```typescript\nobservatory.addGlobalContext('tenant', 'acme-corp');\nobservatory.removeGlobalContext('tenant');\n```\n\n### Events\n\n```typescript\nimport { SDKEvent } from 'datadog-frontend-toolkit';\n\nobservatory.onEvent(SDKEvent.ERROR_CAPTURED, (payload) => {\n  console.log('Error captured:', payload.data);\n});\n\nobservatory.onEvent(SDKEvent.PERFORMANCE_ENTRY, (payload) => {\n  console.log('Web Vital:', payload.data);\n});\n```\n\n### Global Access\n\n```typescript\n// From anywhere in your app\nimport { getInstance, getLogger } from 'datadog-frontend-toolkit';\n\nconst sdk = getInstance(); // returns null if not initialized\nconst logger = getLogger(); // throws if not initialized\n```\n\n### Destroy\n\n```typescript\nawait observatory.destroy(); // Cleans up all handlers\n```\n\n---\n\n## Plugins\n\n```typescript\nimport { init, ObservabilityPlugin } from 'datadog-frontend-toolkit';\n\nconst myPlugin: ObservabilityPlugin = {\n  name: 'my-custom-plugin',\n  version: '1.0.0',\n  setup(sdk) {\n    sdk.addGlobalContext('plugin', 'active');\n    sdk.onEvent('sdk:error_captured', (payload) => {\n      // Custom error processing\n    });\n  },\n  teardown() {\n    // Cleanup\n  },\n};\n\ninit({\n  clientToken: '...',\n  applicationId: '...',\n  service: 'my-app',\n  env: 'production',\n  plugins: [myPlugin],\n});\n```\n\n---\n\n## CLI — Resource Provisioning\n\nThe CLI provisions Datadog resources (dashboards, monitors, SLOs, and burn rate alerts) for your service automatically with an **interactive wizard**.\n\n> **Note:** This uses Datadog API/App keys and runs server-side only. Never expose these keys in the browser.\n>\n> - **API Key:** [Organization Settings → API Keys](https://app.datadoghq.com/organization-settings/api-keys)\n> - **Application Key:** [Organization Settings → Application Keys](https://app.datadoghq.com/organization-settings/application-keys)\n\n### Setup Resources\n\n```bash\n# Interactive mode — prompts for everything\nnpx datadog-frontend-toolkit setup\n\n# With CLI arguments\nnpx datadog-frontend-toolkit setup \\\n  --service my-app \\\n  --env production \\\n  --api-key $DD_API_KEY \\\n  --app-key $DD_APP_KEY \\\n  --team frontend \\\n  --load-size medium\n\n# Using environment variables (prompted for the rest)\nexport DD_API_KEY=your-api-key\nexport DD_APP_KEY=your-app-key\nnpx datadog-frontend-toolkit setup -s my-app -e production\n\n# Dry run (preview only)\nnpx datadog-frontend-toolkit setup -s my-app -e production --dry-run\n\n# Force update existing resources (keeps same URLs/IDs)\nnpx datadog-frontend-toolkit setup -s my-app -e production --force\n\n# Skip specific resources\nnpx datadog-frontend-toolkit setup -s my-app -e production --no-slos\n\n# Specify traffic load (skips interactive prompt)\nnpx datadog-frontend-toolkit setup -s my-app -e production --load-size high -y\n\n# With Slack notification channel\nnpx datadog-frontend-toolkit setup -s my-app -e production \\\n  --notify alerts-channel@company.slack.com\n\n# Multiple notification targets (Slack + email + PagerDuty)\nnpx datadog-frontend-toolkit setup -s my-app -e production \\\n  --notify alerts@company.slack.com \\\n  --notify oncall@company.com \\\n  --notify @pagerduty-frontend-service\n```\n\n### Remove Resources\n\nDelete all toolkit-managed resources for a given service/environment:\n\n```bash\n# Interactive confirmation before deleting\nnpx datadog-frontend-toolkit setup -s my-app -e production --remove\n\n# Skip confirmation\nnpx datadog-frontend-toolkit setup -s my-app -e production --remove -y\n```\n\nThis finds and deletes all monitors, SLOs, burn rate alerts, and dashboards tagged with `managed:datadog-frontend-toolkit` for the specified service and environment.\n\n### Check Status\n\n```bash\nnpx datadog-frontend-toolkit status -s my-app -e production\n```\n\n### What Gets Provisioned\n\n**Dashboard (1):**\n- Frontend Observability overview with RUM metrics, Web Vitals, error tracking, API endpoint errors, and performance panels\n\n**Monitors (5):** — thresholds adapt to your `--load-size` profile\n- Poor LCP Performance (avg LCP > 3s)\n- High CLS Score (avg CLS > 0.2)\n- JS Error Spike\n- Failed API Calls (4xx/5xx, excludes 404)\n- Slow Page Load (avg loading time > 5s)\n\n### Traffic Load Profiles (`--load-size`)\n\nMonitor thresholds and evaluation windows are automatically calibrated based on the selected traffic profile:\n\n| Profile | Users/min | JS Spike | Failed API Calls | Web Vitals Window |\n|---------|-----------|----------|------------------|-------------------|\n| `low` | 1–50 | >25 in 15m | >15 in 15m | 4h |\n| `medium` | 50–500 | >100 in 10m | >75 in 10m | 1h |\n| `high` | 500–5,000 | >500 in 5m | >300 in 5m | 30m |\n| `very-high` | 5,000+ | >1,000 in 5m | >750 in 5m | 15m |\n\nIf `--load-size` is not provided via flag, the CLI prompts interactively:\n\n```\nExpected traffic load for this service:\n  › 1) Low  (1–50 users/min)  — internal tools, admin panels, staging envs\n    2) Medium  (50–500 users/min)  — B2B SaaS, department-level apps\n    3) High  (500–5,000 users/min)  — company-wide apps, B2C products\n    4) Very High  (5,000+ users/min)  — high-traffic consumer apps\n```\n\nWhen using `-y` (skip prompts) without `--load-size`, defaults to `low`.\n\n### Notification Channels (`--notify`)\n\nConfigure where monitors and burn rate alerts send notifications when triggered. The `--notify` flag auto-detects the channel type from the target format:\n\n| Format | Detected Type | Example |\n|--------|---------------|---------|\n| `*@*.slack.com` | Slack (email integration) | `alerts@company.slack.com` |\n| `@slack-*` | Slack (native) | `@slack-frontend-alerts` |\n| `@pagerduty-*` | PagerDuty | `@pagerduty-frontend-oncall` |\n| `@opsgenie-*` | OpsGenie | `@opsgenie-frontend-team` |\n| `@webhook-*` | Webhook | `@webhook-deploy-tracker` |\n| `user@domain.com` | Email | `oncall@company.com` |\n\nThe flag is **repeatable** — pass multiple `--notify` flags for multiple targets:\n\n```bash\nnpx datadog-frontend-toolkit setup -s my-app -e production \\\n  --notify alerts@company.slack.com \\\n  --notify @pagerduty-frontend-oncall\n```\n\nIf `--notify` is not provided, the CLI prompts interactively:\n\n```\n📣 Notification Channels\n   Monitors and burn rate alerts will notify these targets when triggered.\n   Supported formats:\n     • Slack email:    alerts-channel@company.slack.com\n     • Slack native:   @slack-alerts-channel\n     • Email:          user@company.com\n     • PagerDuty:      @pagerduty-my-service\n\nNotification target (leave empty to skip): alerts@company.slack.com\n   ✓ Added: 🔔 Slack → alerts@company.slack.com\nAdd another notification target? (y/N):\n```\n\nWhen using `-y` (skip prompts) without `--notify`, no notification channels are configured.\n\n### Dashboard Filters (`--filter`)\n\nAdd template variable dropdowns to the dashboard for filtering RUM data by custom context attributes. By default, four filters are included based on common RUM global context properties:\n\n| Filter | RUM Attribute | Description |\n|--------|---------------|-------------|\n| `user` | `@context.user` | Filter by user ID |\n| `survey` | `@context.survey` | Filter by survey ID |\n| `crossProject` | `@context.crossProject` | Filter by cross-project ID |\n| `companyId` | `@context.companyId` | Filter by company ID |\n\nThese defaults match the standard `datadogRum.setGlobalContextProperty()` calls:\n\n```typescript\ndatadogRum.setGlobalContextProperty('user', userId);\ndatadogRum.setGlobalContextProperty('survey', surveyId);\ndatadogRum.setGlobalContextProperty('crossProject', crossProjectId);\ndatadogRum.setGlobalContextProperty('companyId', companyId);\n```\n\nThe `--filter` flag is **repeatable** and uses the format `name:@context.attribute`:\n\n```bash\n# Use default filters (user, survey, crossProject, companyId)\nnpx datadog-frontend-toolkit setup -s my-app -e production --force\n\n# Custom filters (replaces defaults)\nnpx datadog-frontend-toolkit setup -s my-app -e production \\\n  --filter user:@context.user \\\n  --filter org:@context.orgId \\\n  --filter tenant:@context.tenantId\n\n# Disable all filters\nnpx datadog-frontend-toolkit setup -s my-app -e production --no-filters\n```\n\nWhen `--filter` is provided, only the specified filters are used (defaults are replaced). When neither `--filter` nor `--no-filters` is provided, the four default filters are applied automatically.\n\n> **Note:** Filters only work if your frontend sets the corresponding RUM global context properties via `datadogRum.setGlobalContextProperty()`. The dashboard dropdowns will show `*` (all) by default and populate with actual values once data flows in.\n\n**SLOs (2) — environment-aware targets:**\n\n| SLO | Type | Metric | Production | Non-production |\n|-----|------|--------|------------|----------------|\n| Frontend Availability | metric | `view.error_free / view` | 99.5% | 95% |\n| Core Web Vitals (LCP) | time-slice | `p75 LCP < 2.5s` | 75% | 75% |\n\n**Burn Rate Alerts (4) — Google SRE multi-window, multi-burn-rate:**\n\nFor each SLO, two burn rate alert monitors are created:\n\nFor high-target SLOs (~99.5%+) the standard Google SRE thresholds apply directly. For lower-target SLOs (e.g. a 75% time-slice for LCP, where the theoretical max burn rate is only `1/(1-0.75)=4×`), each alert is capped to a different fraction of that max so **High** and **Slow** stay asymmetric:\n\n- **High Burn Rate** is capped at 90% of `maxBurnRate` (aggressive — paging signal).\n- **Slow Burn Rate** is capped at 40% of `maxBurnRate` (conservative — ticket signal, always lower than High).\n\n| Alert | Burn Rate | Window | Action |\n|-------|-----------|--------|--------|\n| High Burn Rate | ~14× (budget exhausted in ~2 days) | 1h long / 5m short | 🔥 Investigate immediately |\n| Slow Burn Rate | ~6× (budget exhausted in ~5 days) | 6h long / 30m short | ⚠️ Create ticket, investigate within 24h |\n\n> Burn rate thresholds are automatically clamped per-alert based on each SLO's target (`max = 1/(1-target)`), preserving the High > Slow asymmetry even when the SLO target is low.\n\n### Direct Access Links\n\nAfter provisioning, the CLI outputs **clickable direct links** to every resource in Datadog:\n\n```\n✅ Dashboards:\n   my-app - Frontend Observability\n   https://app.datadoghq.com/dashboard/abc-def-ghi/...\n✅ Monitors:\n   my-app (production) - JS Error Spike\n   https://app.datadoghq.com/monitors/123456789\n   my-app (production) - Frontend Availability - High Burn Rate\n   https://app.datadoghq.com/monitors/123456790\n   ...\n✅ SLOs:\n   my-app (production) - Frontend Availability\n   https://app.datadoghq.com/slo?slo_id=abcdef123456\n   my-app (production) - Core Web Vitals (LCP)\n   https://app.datadoghq.com/slo?slo_id=abcdef789012\n```\n\n### Markdown Summary\n\nA `datadog-observability-{service}.md` file is generated in the current directory with a full summary of all provisioned resources, descriptions, and direct links. You can commit this to your repo or share it with your team.\n\n### Idempotent Execution\n\nThe CLI is safe to run multiple times. If a resource already exists (matched by name), it will be reused instead of duplicated. Individual resource failures are handled gracefully — one failing resource won't block the rest.\n\n### Force Update (`--force`)\n\nUse the `--force` flag to update existing resources in-place instead of skipping them. This preserves the same URLs and IDs, so your bookmarks and shared links remain valid.\n\n```bash\n# Update all resources with latest templates (keeps same URLs)\nnpx datadog-frontend-toolkit setup -s my-app -e production --force -y\n```\n\nThis is useful when:\n- Dashboard templates have been updated with new widgets or sections\n- Monitor thresholds or queries need to be refreshed\n- SLO targets or burn rate configurations have changed\n\n---\n\n## Framework Examples\n\n### React\n\n```typescript\n// src/index.tsx\nimport { init } from 'datadog-frontend-toolkit';\n\nconst observatory = init({\n  clientToken: process.env.REACT_APP_DD_CLIENT_TOKEN!,\n  applicationId: process.env.REACT_APP_DD_APP_ID!,\n  service: 'react-app',\n  env: process.env.NODE_ENV,\n  version: process.env.REACT_APP_VERSION,\n});\n\nexport { observatory };\n```\n\n### Vue\n\n```typescript\n// src/main.ts\nimport { init } from 'datadog-frontend-toolkit';\n\nconst observatory = init({\n  clientToken: import.meta.env.VITE_DD_CLIENT_TOKEN,\n  applicationId: import.meta.env.VITE_DD_APP_ID,\n  service: 'vue-app',\n  env: import.meta.env.MODE,\n});\n\napp.config.errorHandler = (err) => {\n  observatory.captureError(err instanceof Error ? err : new Error(String(err)));\n};\n```\n\n### Angular\n\n```typescript\n// src/main.ts\nimport { init } from 'datadog-frontend-toolkit';\n\ninit({\n  clientToken: environment.ddClientToken,\n  applicationId: environment.ddAppId,\n  service: 'angular-app',\n  env: environment.production ? 'production' : 'development',\n});\n```\n\n### Next.js\n\n```typescript\n// src/lib/observability.ts\nimport { init } from 'datadog-frontend-toolkit';\n\nexport const observatory =\n  typeof window !== 'undefined'\n    ? init({\n        clientToken: process.env.NEXT_PUBLIC_DD_CLIENT_TOKEN!,\n        applicationId: process.env.NEXT_PUBLIC_DD_APP_ID!,\n        service: 'nextjs-app',\n        env: process.env.NODE_ENV,\n      })\n    : null;\n```\n\n---\n\n## Architecture\n\n```\n┌─────────────────────────────────────────────────┐\n│                  init(config)                    │\n│                ObservabilitySDK                  │\n│  ┌──────────┐  ┌──────────┐  ┌───────────────┐  │\n│  │   RUM    │  │   Logs   │  │    Logger     │  │\n│  │ Manager  │  │ Manager  │  │   Service     │  │\n│  └──────────┘  └──────────┘  └───────────────┘  │\n│  ┌──────────┐  ┌──────────┐  ┌───────────────┐  │\n│  │  Error   │  │  Perf    │  │   Network     │  │\n│  │ Boundary │  │ Monitor  │  │ Interceptor   │  │\n│  └──────────┘  └──────────┘  └───────────────┘  │\n│  ┌──────────┐  ┌──────────┐  ┌───────────────┐  │\n│  │ Context  │  │ Bootstrap│  │    Event      │  │\n│  │ Manager  │  │  Guard   │  │   Emitter     │  │\n│  └──────────┘  └──────────┘  └───────────────┘  │\n└─────────────────────────────────────────────────┘\n         │\n         ▼  (CLI only, server-side)\n┌─────────────────────────────────────────────────┐\n│           Resource Provisioner                   │\n│  ┌──────────┐  ┌──────────┐  ┌───────────────┐  │\n│  │Dashboard │  │ Monitor  │  │     SLO       │  │\n│  │Templates │  │Templates │  │  Templates    │  │\n│  └──────────┘  └──────────┘  └───────────────┘  │\n└─────────────────────────────────────────────────┘\n```\n\n**Design Patterns Used:**\n- **Singleton** — SDK instance management\n- **Facade** — Single entry point for all features\n- **Observer** — Event system for loose coupling\n- **Adapter** — Log level normalization\n- **Builder** — Configuration resolution\n- **Chain of Responsibility** — Error processing pipeline\n- **Proxy/Decorator** — Network interception\n- **Template Method** — Resource provisioning\n\n---\n\n## License\n\nMIT\n","readmeFilename":"README.md"}