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Reehal","email":"jag@jagreehal.com","url":"https://jagreehal.com"},"license":"Apache-2.0","homepage":"https://github.com/jagreehal/autotel#readme","keywords":["opentelemetry","otel","autotel","backend","honeycomb","datadog","google-cloud","gcp","configuration","observability","tracing","telemetry","vendor"],"repository":{"type":"git","url":"git+https://github.com/jagreehal/autotel.git","directory":"packages/autotel-backends"},"description":"Vendor backend configurations for Autotel (Honeycomb, Datadog, etc.)","maintainers":[{"name":"jagreehal","email":"jag.reehal@gmail.com"}],"readme":"# Autotel Backends\n\nVendor backend configurations for [Autotel](../autotel) - simplified setup helpers for popular observability platforms.\n\n## What are Backends?\n\n**Backends** are vendor-specific configuration helpers that simplify setting up Autotel with observability platforms like Honeycomb, Datadog, New Relic, etc.\n\nThey handle:\n\n- Correct endpoint URLs for each vendor\n- Authentication headers and API key formats\n- Protocol selection (gRPC vs HTTP)\n- Region-specific configurations\n- Best practice defaults\n\n### Backends vs Plugins\n\n| Package              | Purpose                                               | Examples                    |\n| -------------------- | ----------------------------------------------------- | --------------------------- |\n| **autotel-backends** | Configure **where** telemetry goes (outputs)          | Honeycomb, Datadog, Grafana |\n| **autotel-plugins**  | Instrument **libraries** to create telemetry (inputs) | Drizzle ORM, custom SDKs    |\n\n**Think of it this way**: Plugins create the data, backends send it somewhere.\n\n## Installation\n\n```bash\nnpm install autotel autotel-backends\n```\n\n## Quick Start\n\n### Honeycomb\n\n```typescript\nimport { init } from 'autotel';\nimport { createHoneycombConfig } from 'autotel-backends/honeycomb';\n\ninit(\n  createHoneycombConfig({\n    apiKey: process.env.HONEYCOMB_API_KEY!,\n    service: 'my-app',\n  }),\n);\n```\n\n### Datadog\n\n```typescript\nimport { init } from 'autotel';\nimport { createDatadogConfig } from 'autotel-backends/datadog';\n\n// Direct cloud ingestion (serverless, edge)\ninit(\n  createDatadogConfig({\n    apiKey: process.env.DATADOG_API_KEY!,\n    service: 'my-lambda',\n  }),\n);\n\n// Or use local Datadog Agent (Kubernetes, long-running services)\ninit(\n  createDatadogConfig({\n    service: 'my-api',\n    useAgent: true,\n  }),\n);\n```\n\n## Available Backends\n\n### 🍯 Honeycomb\n\n[Honeycomb](https://honeycomb.io) provides powerful distributed tracing and observability.\n\n```typescript\nimport { createHoneycombConfig } from 'autotel-backends/honeycomb';\n\ninit(\n  createHoneycombConfig({\n    apiKey: process.env.HONEYCOMB_API_KEY!,\n    service: 'my-app',\n    environment: 'production',\n    version: '1.0.0',\n    dataset: 'my-dataset', // Optional: for classic accounts\n  }),\n);\n```\n\n**Features**:\n\n- Auto-configures gRPC protocol (Honeycomb's preferred)\n- Supports both classic datasets and modern service-based routing\n- Environment and version tagging\n- Head-based sampling configuration\n\n[View full Honeycomb configuration options →](./src/honeycomb.ts)\n\n### 🐕 Datadog\n\n[Datadog](https://datadoghq.com) provides comprehensive APM, infrastructure monitoring, and logs.\n\n```typescript\nimport { createDatadogConfig } from 'autotel-backends/datadog';\n\n// Cloud ingestion (best for serverless/edge)\ninit(\n  createDatadogConfig({\n    apiKey: process.env.DATADOG_API_KEY!,\n    site: 'datadoghq.com', // or 'datadoghq.eu', 'us3.datadoghq.com', etc.\n    service: 'my-lambda',\n    environment: 'production',\n    enableLogs: true, // Optional: also send logs\n  }),\n);\n\n// Agent-based (best for Kubernetes/VMs)\ninit(\n  createDatadogConfig({\n    service: 'my-api',\n    useAgent: true,\n    agentHost: 'localhost', // or 'datadog-agent.default.svc.cluster.local'\n    agentPort: 4318,\n  }),\n);\n```\n\n**Features**:\n\n- Direct cloud ingestion OR local agent\n- Multi-region support (US1, US3, US5, EU, AP1, FedRAMP)\n- Unified service tagging (service, env, version)\n- Optional log export via OTLP\n- Kubernetes-friendly agent configuration\n\n[View full Datadog configuration options →](./src/datadog.ts)\n\n## Why Use Backend Configs?\n\n### Without backend configs (manual):\n\n```typescript\nimport { init } from 'autotel';\n\ninit({\n  service: 'my-app',\n  endpoint: 'https://api.honeycomb.io:443',\n  protocol: 'grpc',\n  otlpHeaders: {\n    'x-honeycomb-team': process.env.HONEYCOMB_API_KEY!,\n    'x-honeycomb-dataset': 'production',\n  },\n  environment: 'production',\n  version: '1.0.0',\n});\n```\n\n### With backend configs:\n\n```typescript\nimport { init } from 'autotel';\nimport { createHoneycombConfig } from 'autotel-backends/honeycomb';\n\ninit(\n  createHoneycombConfig({\n    apiKey: process.env.HONEYCOMB_API_KEY!,\n    service: 'my-app',\n    environment: 'production',\n    version: '1.0.0',\n  }),\n);\n```\n\n**Benefits**:\n\n- Less code, fewer mistakes\n- Vendor best practices built-in\n- Validated configurations\n- Easy to switch vendors\n\n## Using Environment Variables\n\nAll backends work great with environment variables:\n\n```typescript\nimport { createHoneycombConfig } from 'autotel-backends/honeycomb';\n\ninit(\n  createHoneycombConfig({\n    apiKey: process.env.HONEYCOMB_API_KEY!,\n    service: process.env.SERVICE_NAME || 'my-app',\n    environment: process.env.NODE_ENV,\n  }),\n);\n```\n\nOr use Autotel's built-in env var support:\n\n```bash\n# .env\nOTEL_SERVICE_NAME=my-app\nOTEL_EXPORTER_OTLP_ENDPOINT=https://api.honeycomb.io\nOTEL_EXPORTER_OTLP_HEADERS=x-honeycomb-team=YOUR_API_KEY\n```\n\n```typescript\nimport { init } from 'autotel';\n\n// Reads from env vars automatically\ninit({});\n```\n\n## Migration from autotel/presets\n\nIf you were using `autotel/presets/*`, migration is simple:\n\n**Before** (v1.x):\n\n```typescript\nimport { createHoneycombConfig } from 'autotel/presets/honeycomb';\n```\n\n**After** (v2.x):\n\n```bash\nnpm install autotel-backends\n```\n\n```typescript\nimport { createHoneycombConfig } from 'autotel-backends/honeycomb';\n```\n\nThe configuration options are **identical** - only the import path changed.\n\n## Philosophy\n\nAutotel follows the principle: **\"Write once, observe everywhere\"**.\n\nBackend configurations are:\n\n- **Optional**: Use raw `init()` config if you prefer\n- **Vendor-agnostic at core**: Keeping these separate maintains the vendor-neutral philosophy\n- **Best practices**: Configurations follow vendor recommendations\n- **Tree-shakeable**: Import only what you need\n\n## TypeScript\n\nFull type safety with TypeScript:\n\n```typescript\nimport type {\n  HoneycombPresetConfig,\n  DatadogPresetConfig,\n} from 'autotel-backends';\n\nconst honeycombConfig: HoneycombPresetConfig = {\n  apiKey: process.env.HONEYCOMB_API_KEY!,\n  service: 'my-app',\n};\n\nconst datadogConfig: DatadogPresetConfig = {\n  apiKey: process.env.DATADOG_API_KEY!,\n  service: 'my-app',\n  site: 'datadoghq.com',\n};\n```\n\n## Contributing\n\nWant to add a new backend configuration? Please [open an issue](https://github.com/jagreehal/autotel/issues) to discuss.\n\nPopular backends we'd love to support:\n\n- Grafana Cloud\n- New Relic\n- Lightstep\n- Elastic APM\n- AWS X-Ray\n- Google Cloud Trace\n\n## License\n\nApache-2.0\n","readmeFilename":"README.md"}