adding content

content/en/serverless/azure_functions/_index.md

@@ -1,9 +1,13 @@
 ---
-title: Serverless Monitoring for Azure Functions
+title: Tracing Azure Functions
 ---
 
 ## Overview
-Azure Functions...
+Azure Functions
+
+<!-- TODO: some more preamble -->
+
+This page explains how to collect traces from your Azure Functions. To collect metrics, install the [Datadog Azure integration][6].
 
 ## Setup
 
@@ -19,7 +23,7 @@
 
    To use [automatic instrumentation][2], you must use `dd-trace` v4.48+ (v4 release line) or v5.25+ (v5 release line).
 
    Datadog recommends pinning the package versions and regularly upgrading to the latest versions of both `@datadog/serverless-compat` and `dd-trace` to ensure you have access to enhancements and bug fixes.
 
 2. **Start the Datadog serverless compatibility layer and initialize the Node.js tracer**. Add the following lines to your main application entry point file (for example, `app.js`):
 
@@ -67,28 +71,55 @@
    - Set `DD_API_KEY` to your [Datadog API key][1].
    - Set `DD_SITE` to {{< region-param key=dd_site code="true" >}}. (Ensure that your correct [Datadog site][2] is selected in the drop-down on the right side of this page.)
 
-5. **Configure tags**. To filter and aggregate your telemetry in Datadog, configure the following tags as environment variables. You can add custom tags as `DD_TAGS`.
+5. **Correlate traces with metrics by setting tags**. You can collect metrics from your Azure Functions by installing the [Datadog Azure integration][6]. To correlate these metrics with your traces, configure the following tags as environment variables. You can add custom tags as `DD_TAGS`.
 
    ```
    DD_ENV="<ENVIRONMENT>"
    DD_SERVICE="<SERVICE_NAME>"
    DD_VERSION="<VERSION>"
    DD_TAGS="<KEY_1:VALUE_1>,<KEY_2:VALUE_2>"
    ```
+
 ## View traces in Datadog
 
+In Datadog, navigate to the [Trace Explorer][4] page and search for the service name you set in the `DD_SERVICE` environment variable
+
+<!-- TODO: maybe some more here -->
+
+You can also view traces on the [Serverless > Azure Functions][5] page. This view is enriched with telemetry collected by the [Datadog Azure integration][6].
+
 ## Enable debug logs
 
+You can collect debug logs for troubleshooting. To configure debug logs, use the following environment variables:
+
+`DD_TRACE_DEBUG`
+: Enables (`true`) or disables (`false`) debug logging for the Datadog Tracing Library. Defaults to `false`.
+
+  **Values**: `true`, `false` 
+
+`DD_LOG_LEVEL`
+: Sets logging level for the Datadog Serverless Agent. Defaults to `info`.
+
+  **Values**: `trace`, `debug`, `info`, `warn`, `error`, `critical`, `off`
+
 ## Enable other features
 
 ### Trace metrics
 
-[Trace metrics][3] are enabled by default. To disable them, set the following environment variable in your function's application settings:
+[Trace metrics][3] are enabled by default. To configure trace metrics, use the following environment variable:
+
+`DD_TRACE_STATS_COMPUTATION_ENABLED`
+: Enables (`true`) or disables (`false`) trace metrics. Defaults to `true`.
+
+  **Values**: `true`, `false`
+
+### Correlate logs and traces
 
-```
-DD_TRACE_STATS_COMPUTATION_ENABLED=false
-```
+<!-- TODO: to be continued -->
 
 [1]: /account_management/api-app-keys/#add-an-api-key-or-client-token
 [2]: /getting_started/site
 [3]: /tracing/metrics/metrics_namespace/
+[4]: https://app.datadoghq.com/apm/traces
+[5]: https://app.datadoghq.com/functions?cloud=azure&entity_view=function
+[6]: /integrations/azure/