Add OpenTelemetry distributed tracing example for Azure Managed DTS

.github/workflows/codeql.yml

@@ -1,6 +1,6 @@
-# This workflow generates weekly CodeQL reports for this repo, a security requirements.
+# This workflow generates weekly CodeQL reports for this repo, a security requirement.
 # The workflow is adapted from the following reference: https://github.com/Azure-Samples/azure-functions-python-stream-openai/pull/2/files
-# Generic comments on how to modify these file are left intactfor future maintenance.
+# Generic comments on how to modify this file are left intact for future maintenance.
 
 name: "CodeQL"
 
@@ -30,7 +30,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        language: ['typescript']
+        language: ['javascript']
         # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
         # Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support
 
@@ -62,5 +62,3 @@ jobs:
       uses: github/codeql-action/analyze@v3
       with:
         category: "/language:${{matrix.language}}"
-
-        category: "/language:${{matrix.language}}"

examples/azure-managed-dts.ts

@@ -35,23 +35,23 @@ import { Task } from "../src/task/task";
   // These values should be set as environment variables
   const endpoint = process.env.AZURE_DTS_ENDPOINT;
   const taskHubName = process.env.AZURE_DTS_TASKHUB;
-  const connectionString = process.env.AZURE_DTS_CONNECTION_STRING;
+  const connectionString = process.env.DURABLE_TASK_SCHEDULER_CONNECTION_STRING;
 
   // Validate configuration
   if (!connectionString && (!endpoint || !taskHubName)) {
     logger.error(
-      "Error: Either AZURE_DTS_CONNECTION_STRING or both AZURE_DTS_ENDPOINT and AZURE_DTS_TASKHUB must be set.",
+      "Error: Either DURABLE_TASK_SCHEDULER_CONNECTION_STRING or both AZURE_DTS_ENDPOINT and AZURE_DTS_TASKHUB must be set.",
     );
     logger.info("\nUsage:");
     logger.info("  Option 1: Create a .env file in the examples directory (recommended):");
     logger.info(
-      "    AZURE_DTS_CONNECTION_STRING=Endpoint=https://myservice.durabletask.io;Authentication=DefaultAzure;TaskHub=myTaskHub",
+      "    DURABLE_TASK_SCHEDULER_CONNECTION_STRING=Endpoint=https://myservice.durabletask.io;Authentication=DefaultAzure;TaskHub=myTaskHub",
     );
     logger.info("    or");
     logger.info("    AZURE_DTS_ENDPOINT=https://myservice.durabletask.io");
     logger.info("    AZURE_DTS_TASKHUB=myTaskHub");
     logger.info("\n  Option 2: Set environment variables directly");
-    logger.info("    export AZURE_DTS_CONNECTION_STRING=...");
+    logger.info("    export DURABLE_TASK_SCHEDULER_CONNECTION_STRING=...");
     process.exit(1);
   }
 

examples/azure-managed/.env.emulator

@@ -0,0 +1,8 @@
+# Configuration for running with the local DTS Emulator + Jaeger
+# Copy this file to .env:  cp .env.emulator .env
+
+# DTS Emulator connection string (no authentication required)
+DURABLE_TASK_SCHEDULER_CONNECTION_STRING=Endpoint=http://localhost:8080;Authentication=None;TaskHub=default
+
+# OTLP endpoint for trace export (Jaeger's OTLP HTTP receiver)
+OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318

examples/azure-managed/.env.example

@@ -3,8 +3,8 @@
 # Option 1: Using connection string (recommended)
 # Supported authentication types: DefaultAzure, ManagedIdentity, WorkloadIdentity, 
 # Environment, AzureCli, AzurePowerShell, VisualStudioCode, InteractiveBrowser, None
-AZURE_DTS_CONNECTION_STRING=Endpoint=https://your-scheduler.eastus.durabletask.io;Authentication=DefaultAzure;TaskHub=your-taskhub
+DURABLE_TASK_SCHEDULER_CONNECTION_STRING=Endpoint=https://your-scheduler.eastus.durabletask.io;Authentication=DefaultAzure;TaskHub=your-taskhub
 # Option 2: Using explicit parameters (uses DefaultAzureCredential)
-# Uncomment these lines and comment out AZURE_DTS_CONNECTION_STRING above
+# Uncomment these lines and comment out DURABLE_TASK_SCHEDULER_CONNECTION_STRING above
 # AZURE_DTS_ENDPOINT=https://your-scheduler.eastus.durabletask.io
 # AZURE_DTS_TASKHUB=your-taskhub

examples/azure-managed/README.md

@@ -0,0 +1,252 @@
+# Distributed Tracing with Azure Managed Durable Task Scheduler
+
+This example demonstrates **OpenTelemetry distributed tracing** with the Durable Task JavaScript SDK and Azure Managed Durable Task Scheduler (DTS). Traces are exported to [Jaeger](https://www.jaegertracing.io/) so you can visualize the full orchestration lifecycle as connected spans.
+
+## What You'll See
+
+When you run this example, the SDK automatically produces [W3C Trace Context](https://www.w3.org/TR/trace-context/) spans for every stage of a durable orchestration:
+
+| Span | Kind | Description |
+|------|------|-------------|
+| `create_orchestration:<name>` | PRODUCER | Client scheduling a new orchestration |
+| `orchestration:<name>` | SERVER | Worker executing the orchestration |
+| `activity:<name>` (scheduling) | CLIENT | Orchestrator scheduling an activity |
+| `activity:<name>` (execution) | SERVER | Worker executing the activity |
+| `timer:<orchestrationName>` | INTERNAL | Timer created inside an orchestration |
+| `orchestration_event:<eventName>` | PRODUCER | Event raised to another orchestration |
+
+All spans are linked via `traceparent` propagation, giving you a single end-to-end trace from the client all the way through parallel activity fan-out and back.
+
+### Sample Trace in Jaeger
+
+```
+create_orchestration:dataPipelineOrchestrator  (PRODUCER)
+ └─ orchestration:dataPipelineOrchestrator     (SERVER)
+     ├─ activity:getDataSources                (CLIENT → SERVER)
+     ├─ activity:fetchData  ×4                 (CLIENT → SERVER, parallel)
+     ├─ activity:transformData  ×4             (CLIENT → SERVER, parallel)
+     └─ activity:saveResults                   (CLIENT → SERVER)
+```
+
+---
+
+## Prerequisites
+
+- **Node.js ≥ 22** (required by the monorepo)
+- **Docker** (for the DTS Emulator and Jaeger)
+- **npm** (for installing dependencies)
+
+---
+
+## Quick Start (Local with DTS Emulator)
+
+### 1. Start the DTS Emulator and Jaeger
+
+A `docker-compose.yml` is provided that starts both services:
+
+```bash
+cd examples/azure-managed
+docker compose up -d
+```
+
+This starts:
+
+| Service | Port | Purpose |
+|---------|------|---------|
+| **DTS Emulator** | `8080` | Local gRPC endpoint (no authentication) |
+| **Jaeger UI** | `16686` | Trace visualization dashboard |
+| **Jaeger OTLP (HTTP)** | `4318` | OpenTelemetry trace receiver |
+| **Jaeger OTLP (gRPC)** | `4317` | OpenTelemetry trace receiver (gRPC) |
+
+> **Tip:** You can also run just the DTS Emulator standalone:
+> ```bash
+> docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 \
+>   mcr.microsoft.com/dts/dts-emulator:latest
+> ```
+
+### 2. Configure Environment Variables
+
+Copy the provided emulator configuration:
+
+```bash
+cp .env.emulator .env
+```
+
+This sets:
+
+```env
+DURABLE_TASK_SCHEDULER_CONNECTION_STRING=Endpoint=http://localhost:8080;Authentication=None;TaskHub=default
+OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
+```
+
+### 3. Install OpenTelemetry Dependencies
+
+From the **repository root**, install the required OTel packages:
+
+```bash
+npm install --no-save \
+  @opentelemetry/api \
+  @opentelemetry/sdk-node \
+  @opentelemetry/sdk-trace-base \
+  @opentelemetry/exporter-trace-otlp-http \
+  @opentelemetry/resources \
+  @opentelemetry/semantic-conventions
+```
+
+> **Note:** `@opentelemetry/api` is an optional peer dependency of `@microsoft/durabletask-js`. When it's installed, the SDK automatically produces distributed tracing spans — no code changes needed in your orchestrations or activities.
+
+### 4. Build the SDK (if not already built)
+
+```bash
+npm run build
+```
+
+### 5. Run the Example
+
+```bash
+npm run example -- ./examples/azure-managed/distributed-tracing.ts
+```
+
+You should see output like:
+
+```
+OpenTelemetry SDK started – exporting traces to http://localhost:4318
+
+=== Sequence Orchestration ===
+Scheduled: abc123
+Completed – result: ["Hello, Tokyo!","Hello, Seattle!","Hello, London!"]
+
+=== Data Pipeline Orchestration ===
+Scheduled: def456
+Completed – result: {"sourcesProcessed":4,"resultsSaved":4,"data":["transformed(data-from-users-api)",...]}
+
+=== All orchestrations completed! ===
+Open Jaeger UI at http://localhost:16686 and search for service "durabletask-js-tracing-example" to view traces.
+```
+
+### 6. View Traces in Jaeger
+
+1. Open [http://localhost:16686](http://localhost:16686) in your browser.
+2. Select the service **`durabletask-js-tracing-example`** from the dropdown.
+3. Click **Find Traces**.
+4. Click on a trace to explore the span waterfall.
+
+---
+
+## Running Against Azure Managed DTS (Cloud)
+
+To run this example against a real Azure Managed Durable Task Scheduler endpoint instead of the local emulator:
+
+### 1. Create a `.env` file
+
+```env
+# Option A: Connection string
+DURABLE_TASK_SCHEDULER_CONNECTION_STRING=Endpoint=https://your-scheduler.eastus.durabletask.io;Authentication=DefaultAzure;TaskHub=your-taskhub
+
+# Option B: Explicit parameters (uses DefaultAzureCredential)
+# AZURE_DTS_ENDPOINT=https://your-scheduler.eastus.durabletask.io
+# AZURE_DTS_TASKHUB=your-taskhub
+
+# OTLP endpoint (Jaeger, Azure Monitor, Aspire Dashboard, etc.)
+OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
+```
+
+### 2. Authenticate
+
+Make sure you're logged in via Azure CLI:
+
+```bash
+az login
+```
+
+### 3. Run
+
+```bash
+npm run example -- ./examples/azure-managed/distributed-tracing.ts
+```
+
+---
+
+## Using Azure Monitor / Application Insights
+
+To export traces to **Azure Monitor** instead of Jaeger, replace the OTLP exporter with the Azure Monitor exporter:
+
+```bash
+npm install --no-save @azure/monitor-opentelemetry-exporter
+```
+
+Then modify the OpenTelemetry setup in `distributed-tracing.ts`:
+
+```typescript
+import { AzureMonitorTraceExporter } from "@azure/monitor-opentelemetry-exporter";
+
+const traceExporter = new AzureMonitorTraceExporter({
+  connectionString: process.env.APPLICATIONINSIGHTS_CONNECTION_STRING,
+});
+```
+
+---
+
+## DTS Emulator Docker Image Reference
+
+| Property | Value |
+|----------|-------|
+| **Image** | `mcr.microsoft.com/dts/emulator:latest` |
+| **gRPC Port** | `8080` |
+| **Dashboard Port** | `8082` |
+| **Authentication** | `None` (no credentials required) |
+| **Connection String** | `Endpoint=http://localhost:8080;Authentication=None;TaskHub=default` |
+
+### Running the Emulator Standalone
+
+```bash
+docker run -d \
+  --name dts-emulator \
+  -p 8080:8080 \
+  -p 8082:8082 \
+  mcr.microsoft.com/dts/emulator:latest
+```
+
+### Stopping the Emulator
+
+```bash
+docker stop dts-emulator && docker rm dts-emulator
+```
+
+---
+
+## How Distributed Tracing Works
+
+The Durable Task JavaScript SDK uses OpenTelemetry as an **optional peer dependency**. When `@opentelemetry/api` is installed and a `TracerProvider` is registered, the SDK automatically:
+
+1. **Creates spans** for orchestration scheduling, execution, activity scheduling/execution, timers, and events.
+2. **Propagates W3C `traceparent`** through the gRPC protocol so that spans from the client, orchestrator, and activities are all linked in a single trace.
+3. **Handles replay correctly** – on orchestration replay, the SDK carries forward the original span ID so all replay iterations correlate to the same logical orchestration execution.
+
+The tracer is registered under the name **`Microsoft.DurableTask`**, and spans include semantic attributes like:
+
+- `durabletask.type` – `orchestration`, `activity`, `timer`, `event`, etc.
+- `durabletask.task.name` – The function name.
+- `durabletask.task.instance_id` – The orchestration instance ID.
+- `durabletask.task.task_id` – The sequential task ID within an orchestration.
+
+---
+
+## Cleanup
+
+```bash
+cd examples/azure-managed
+docker compose down
+```
+
+---
+
+## Files in This Example
+
+| File | Description |
+|------|-------------|
+| `distributed-tracing.ts` | Main example – OTel setup + orchestrations |
+| `docker-compose.yml` | DTS Emulator + Jaeger stack |
+| `.env.emulator` | Pre-configured env vars for the local emulator |
+| `.env.example` | Template for Azure Managed DTS (cloud) |
+| `index.ts` | Basic example (no tracing) |