Azure Application Insights Tracing fixes

daprdocs/content/en/operations/observability/tracing/otel-collector/open-telemetry-collector-appinsights.md

@@ -6,42 +6,42 @@ weight: 1000
 description: "How to push trace events to Azure Application Insights, using the OpenTelemetry Collector."
 ---
 
-Dapr integrates with [OpenTelemetry (OTEL) Collector](https://github.com/open-telemetry/opentelemetry-collector) using the Zipkin API. This guide walks through an example using Dapr to push trace events to Azure Application Insights, using the OpenTelemetry Collector.
+Dapr integrates with [OpenTelemetry (OTEL) Collector](https://github.com/open-telemetry/opentelemetry-collector) using the OpenTelemetry protocol (OTLP). This guide walks through an example using Dapr to push traces to Azure Application Insights, using the OpenTelemetry Collector.
 
 ## Prerequisites
 
 - [Install Dapr on Kubernetes]({{< ref kubernetes >}})
-- [Set up an App Insights resource](https://docs.microsoft.com/azure/azure-monitor/app/create-new-resource) and make note of your App Insights connection string.
+- [Create an Application Insights resource](https://learn.microsoft.com/azure/azure-monitor/app/create-workspace-resource) and make note of your Application Insights connection string.
 
 ## Set up OTEL Collector to push to your App Insights instance
 
-To push events to your App Insights instance, install the OTEL Collector to your Kubernetes cluster.
+To push traces to your Application Insights instance, install the OpenTelemetry Collector on your Kubernetes cluster.
 
-1. Check out the [`open-telemetry-collector-appinsights.yaml`](/docs/open-telemetry-collector/open-telemetry-collector-appinsights.yaml) file. 
+1. Download and inspect the [`open-telemetry-collector-appinsights.yaml`](/docs/open-telemetry-collector/open-telemetry-collector-appinsights.yaml) file.
 
 1. Replace the `<CONNECTION_STRING>` placeholder with your App Insights connection string.
 
-1. Apply the configuration with: 
+1. Deploy the OpenTelemetry Collector into the same namespace where your Dapr-enabled applications are running:
 
-   ```sh 
+   ```sh
    kubectl apply -f open-telemetry-collector-appinsights.yaml
    ```
 
-## Set up Dapr to send trace to OTEL Collector
+## Set up Dapr to send traces to the OpenTelemetry Collector
 
-Set up a Dapr configuration file to turn on tracing and deploy a tracing exporter component that uses the OpenTelemetry Collector.
+Create a Dapr configuration file to enable tracing and send traces to the OpenTelemetry Collector via [OTLP](https://opentelemetry.io/docs/specs/otel/protocol/).
 
-1. Use this [`collector-config.yaml`](/docs/open-telemetry-collector/collector-config.yaml) file to create your own configuration.
+1. Download and inspect the [`collector-config-otel.yaml`](/docs/open-telemetry-collector/collector-config-otel.yaml). Update the `namespace` and `otel.endpointAddress` values to align with the namespace where your Dapr-enabled applications and OpenTelemetry Collector are deployed.
 
-1. Apply the configuration with: 
+1. Apply the configuration with:
 
    ```sh
-   kubectl apply -f collector-config.yaml
+   kubectl apply -f collector-config-otel.yaml
    ```
 
 ## Deploy your app with tracing
 
-Apply the `appconfig` configuration by adding a `dapr.io/config` annotation to the container that you want to participate in the distributed tracing, as shown in the following example:
+Apply the `tracing` configuration by adding a `dapr.io/config` annotation to the Dapr applications that you want to include in distributed tracing, as shown in the following example:
 
 ```yaml
 apiVersion: apps/v1
@@ -57,18 +57,18 @@ spec:
         dapr.io/enabled: "true"
         dapr.io/app-id: "MyApp"
         dapr.io/app-port: "8080"
-        dapr.io/config: "appconfig"
+        dapr.io/config: "tracing"
 ```
 
 {{% alert title="Note" color="primary" %}}
-If you are using one of the Dapr tutorials, such as [distributed calculator](https://github.com/dapr/quickstarts/tree/master/tutorials/distributed-calculator), the `appconfig` configuration is already configured, so no additional settings are needed.
+If you are using one of the Dapr tutorials, such as [distributed calculator](https://github.com/dapr/quickstarts/tree/master/tutorials/distributed-calculator), you will need to update the `appconfig` configuration to `tracing`.
 {{% /alert %}}
 
 You can register multiple tracing exporters at the same time, and the tracing logs are forwarded to all registered exporters.
 
 That's it! There's no need to include any SDKs or instrument your application code. Dapr automatically handles the distributed tracing for you.
 
-## View traces 
+## View traces
 
 Deploy and run some applications. After a few minutes, you should see tracing logs appearing in your App Insights resource. You can also use the **Application Map** to examine the topology of your services, as shown below:
 

daprdocs/static/docs/open-telemetry-collector/collector-config.yaml

@@ -2,7 +2,7 @@ apiVersion: dapr.io/v1alpha1
 kind: Configuration
 metadata:
   name: appconfig
-  namespace: default
+  namespace: default # Your app namespace
 spec:
   tracing:
     samplingRate: "1"

daprdocs/static/docs/open-telemetry-collector/open-telemetry-collector-appinsights.yaml

@@ -8,10 +8,13 @@ metadata:
 data:
   otel-collector-config: |
     receivers:
-      zipkin:
-        endpoint: 0.0.0.0:9411
+      otlp:
+        protocols:
+          grpc:
+            endpoint: ${env:MY_POD_IP}:4317
     extensions:
       health_check:
+        endpoint: :13133
       pprof:
         endpoint: :1888
       zpages:
@@ -31,7 +34,7 @@ data:
       extensions: [pprof, zpages, health_check]
       pipelines:
         traces:
-          receivers: [zipkin]
+          receivers: [otlp]
           exporters: [azuremonitor,debug]
 ---
 apiVersion: v1
@@ -43,10 +46,10 @@ metadata:
     component: otel-collector
 spec:
   ports:
-  - name: zipkin # Default endpoint for Zipkin receiver.
-    port: 9411
+  - name: otel # Default endpoint for OTEL receiver.
+    port: 4317
     protocol: TCP
-    targetPort: 9411
+    targetPort: 4317
   selector:
     component: otel-collector
 ---
@@ -70,7 +73,7 @@ spec:
     spec:
       containers:
       - name: otel-collector
-        image: otel/opentelemetry-collector-contrib:0.101.0
+        image: otel/opentelemetry-collector-contrib:0.127.0
         command:
           - "/otelcol-contrib"
           - "--config=/conf/otel-collector-config.yaml"
@@ -82,7 +85,13 @@ spec:
             cpu: 200m
             memory: 400Mi
         ports:
-          - containerPort: 9411 # Default endpoint for Zipkin receiver.
+          - containerPort: 4317 # Default endpoint for OTEL receiver.
+        env:
+          - name: MY_POD_IP
+            valueFrom:
+              fieldRef:
+                apiVersion: v1
+                fieldPath: status.podIP
         volumeMounts:
           - name: otel-collector-config-vol
             mountPath: /conf

daprdocs/static/docs/open-telemetry-collector/open-telemetry-collector-generic.yaml

@@ -75,7 +75,7 @@ spec:
     spec:
       containers:
       - name: otel-collector
-        image: otel/opentelemetry-collector-contrib-dev:latest
+        image: otel/opentelemetry-collector-contrib:0.127.0
         command:
           - "/otelcontribcol"
           - "--config=/conf/otel-collector-config.yaml"

daprdocs/static/docs/open-telemetry-collector/open-telemetry-collector-jaeger.yaml

@@ -78,7 +78,7 @@ spec:
     spec:
       containers:
       - name: otel-collector
-        image: otel/opentelemetry-collector-contrib-dev:latest
+        image: otel/opentelemetry-collector-contrib:0.127.0
         command:
           - "/otelcontribcol"
           - "--config=/conf/otel-collector-config.yaml"