Add TypeScript implementations for all workflow examples

.gitignore

@@ -1,15 +1,22 @@
 .env
 .DS_Store
+
+# Python
 __pycache__/
 *.py[cod]
 *.pyo
 *.pyd
 .Python
 build/
-dist/
 *.egg-info/
 env/
 venv/
 .venv/
 .pytest_cache/
 .coverage
+
+# TypeScript / Node
+node_modules/
+dist/
+*.tsbuildinfo
+package-lock.json

README.md

@@ -4,11 +4,9 @@ A curated collection of production-ready workflow examples demonstrating various
 
 ## Overview
 
-These examples demonstrate how to build robust, scalable workflows using Render's Python SDK. All examples follow best practices for production deployments and include comprehensive documentation.
+These examples demonstrate how to build robust, scalable workflows using Render's SDK. Each example is available in both **Python** and **TypeScript**, with implementations side by side in `python/` and `typescript/` subdirectories. All examples follow best practices for production deployments and include comprehensive documentation.
 
-**Important Notes:**
-- **Python-only**: Render Workflows are currently only supported in Python via `render-sdk`
-- **Service Type**: All workflow services must be deployed as Workflow services on Render
+**Service type**: All workflow services must be deployed as Workflow services on Render.
 
 ## Examples
 

data-pipeline/README.md

@@ -45,67 +45,63 @@ run_data_pipeline (orchestrator)
      └── aggregate_insights
 ```
 
-## Local Development
+## Local development
 
 ### Prerequisites
-- Python 3.10+
 
-### Setup and Run
+- Python 3.10+ (for the Python version)
+- Node.js 18+ (for the TypeScript version)
 
-```bash
-# Navigate to example directory
-cd data-pipeline
+### Python
 
-# Install dependencies
+```bash
+cd data-pipeline/python
 pip install -r requirements.txt
-
-# Run the workflow service
 python main.py
 ```
 
-## Deploying to Render
-
-### Service Configuration
-
-**Service Type**: Workflow
+### TypeScript
 
-**Build Command**:
 ```bash
-cd data-pipeline && pip install -r requirements.txt
+cd data-pipeline/typescript
+npm install
+npm run dev
 ```
 
-**Start Command**:
-```bash
-cd data-pipeline && python main.py
-```
+## Deploying to Render
+
+### Service configuration
+
+**Service type**: Workflow
 
-### Environment Variables
+**Python:**
 
-Required:
-- `RENDER_API_KEY` - Your Render API key (from Render dashboard)
+| Setting | Value |
+|---|---|
+| Build command | `cd data-pipeline/python && pip install -r requirements.txt` |
+| Start command | `cd data-pipeline/python && python main.py` |
 
-Optional (if using real APIs):
-- Any API keys for external services you integrate
+**TypeScript:**
 
-### Deployment Steps
+| Setting | Value |
+|---|---|
+| Build command | `cd data-pipeline/typescript && npm install && npm run build` |
+| Start command | `cd data-pipeline/typescript && npm start` |
 
-1. **Create Workflow Service**
-   - Go to Render Dashboard
-   - Click "New +" → "Workflow"
-   - Connect your repository
-   - Name: `data-pipeline-workflows`
+### Environment variables
 
-2. **Configure Build Settings**
-   - Build Command: `cd data-pipeline && pip install -r requirements.txt`
-   - Start Command: `cd data-pipeline && python main.py`
+| Variable | Description |
+|---|---|
+| `RENDER_API_KEY` | Your Render API key (from Render Dashboard) |
 
-3. **Set Environment Variables**
-   - Add `RENDER_API_KEY` in the Environment section
-   - Get API key from: Render Dashboard → Account Settings → API Keys
+### Deployment steps
 
-4. **Deploy**
-   - Click "Create Workflow"
-   - Render will build and start your workflow service
+1. Go to Render Dashboard.
+1. Click **New +** > **Workflow**.
+1. Connect your repository.
+1. Set the build and start commands for your chosen language.
+1. Add `RENDER_API_KEY` in the Environment section.
+1. Click **Create Workflow**.
 
 ## Testing in Render Dashboard
 
@@ -373,11 +369,9 @@ async def send_pipeline_notification(result: dict) -> dict:
 4. **Timeout Settings**: HTTP client configured with 30s timeout
 5. **Error Isolation**: One source failure doesn't block others
 
-## Important Notes
+## Important notes
 
-- **Python-only**: Workflows are only supported in Python via render-sdk
-- **No Blueprint Support**: Workflows don't support render.yaml blueprint configuration
-- **Mock Data**: Example uses simulated data; replace with real API calls in production
-- **Idempotency**: Design pipeline to be safely re-runnable
-- **Monitoring**: Add logging and metrics for production deployments
-- **Cost**: Consider API rate limits and costs for external services
+- **Mock data**: This example uses simulated data. Replace with real API calls in production.
+- **Idempotency**: Design pipeline to be safely re-runnable.
+- **Monitoring**: Add logging and metrics for production deployments.
+- **Cost**: Consider API rate limits and costs for external services.

data-pipeline/typescript/package.json

@@ -0,0 +1,19 @@
+{
+  "name": "data-pipeline-workflow",
+  "version": "1.0.0",
+  "description": "Data Pipeline - Multi-source customer analytics with Render Workflows (TypeScript)",
+  "type": "module",
+  "scripts": {
+    "build": "tsc",
+    "start": "node dist/main.js",
+    "dev": "tsx src/main.ts"
+  },
+  "dependencies": {
+    "@renderinc/sdk": "latest",
+    "dotenv": "^16.4.7"
+  },
+  "devDependencies": {
+    "tsx": "^4.19.0",
+    "typescript": "^5.7.0"
+  }
+}