Tag Analysis GA docs

config/_default/menus/main.en.yaml

@@ -3949,25 +3949,30 @@ menu:
       parent: trace_explorer
       identifier: span_query_syntax
       weight: 602
+    - name: Trace Queries
+      url: tracing/trace_explorer/trace_queries/
+      parent: trace_explorer
+      weight: 603
     - name: Span Tags and Attributes
       url: tracing/trace_explorer/span_tags_attributes/
       parent: trace_explorer
       identifier: span_attributes
-      weight: 603
+      weight: 604
     - name: Span Visualizations
       url: tracing/trace_explorer/visualize/
       parent: trace_explorer
       identifier: visualize_spans
-      weight: 604
+      weight: 605
     - name: Trace View
       identifier: tracing_trace_explorer_trace_view
       url: tracing/trace_explorer/trace_view/
       parent: trace_explorer
-      weight: 605
-    - name: Trace Queries
-      url: tracing/trace_explorer/trace_queries/
-      parent: trace_explorer
       weight: 606
+    - name: Tag Analysis
+      identifier: tracing_tag_analysis
+      url: tracing/trace_explorer/tag_analysis/
+      parent: trace_explorer
+      weight: 607
     - name: Recommendations
       url: tracing/recommendations/
       parent: tracing

content/en/tracing/trace_explorer/tag_analysis.md

@@ -13,10 +13,6 @@ further_reading:
   text: "Find what's driving errors and latency with Tag Analysis"
 ---
 
-{{< callout url="https://www.datadoghq.com/product-preview/tag-analysis/" header="Request access to the Preview!" >}}
-Tag Analysis is in Preview. To request access, fill out this form.
-{{< /callout >}}
-
 ## Overview
 
 Tag Analysis helps you identify tags and attributes that contribute most significantly to anomalies in your tracing data, such as error spikes or latency issues. It automatically highlights dimensions that distinguish problematic spans from normal ones.
@@ -38,6 +34,10 @@ Use Tag Analysis to answer questions such as:
 
 You can initiate Tag Analysis from several locations:
 
+- **Trace Explorer Point Plot Visualization**: Select a cluster of spans by brushing over the graph (spanning duration and time range) to define a subset of spans to compare against. The same visualization can be found in [service][3] and [resource][4] pages.
+
+{{< img src="/tracing/trace_explorer/tag_analysis/point_plot_explorer.png" alt="Trace Explorer Point plot selection" style="width:80%;" >}}
+
 - **Trace Explorer Top Metrics** (Requests, Errors and Latency): Click **Analyze** next to the Errors or Latency graphs to discover tags contributing to errors or latency.
 
 {{< img src="/tracing/trace_explorer/tag_analysis/red_metrics_entrypoint.png" alt="Analyze RED metrics" style="width:90%;" >}}
@@ -46,12 +46,6 @@ You can initiate Tag Analysis from several locations:
 
 {{< img src="/tracing/trace_explorer/tag_analysis/timeseries_entrypoint.png" alt="Analyze time range" style="width:80%;" >}}
 
-- **Trace Explorer and Service Page Point plot Graph**: Select a cluster of spans by brushing over the graph (spanning duration and time range) to define a subset of spans to compare against.
-
-{{< img src="/tracing/trace_explorer/tag_analysis/scatterplot_entrypoint.png" alt="Analyse point plot slice" style="width:80%;" >}}
-
-Click **Analyze** to see the results in the Tag Analysis side panel.
-
 ## Exploring Tag Analysis results
 
 Tag Analysis results appear in a side panel and include:
@@ -79,3 +73,5 @@ Tag Analysis results appear in a side panel and include:
 
 [1]: app.datadoghq.com/apm/traces
 [2]: /tracing/trace_explorer/trace_groups
+[3]: /tracing/services/service_page
+[4]: /tracing/services/resource_page