diff --git a/docs/guides/akamai/solutions/observability-with-datastream-and-multiplexing/Datastream2-w-Multiplexing.svg b/docs/guides/akamai/solutions/observability-with-datastream-and-multiplexing/Datastream2-w-Multiplexing.svg
new file mode 100644
index 00000000000..f24f9baaaba
--- /dev/null
+++ b/docs/guides/akamai/solutions/observability-with-datastream-and-multiplexing/Datastream2-w-Multiplexing.svg
@@ -0,0 +1 @@
+
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diff --git a/docs/guides/akamai/solutions/observability-with-datastream-and-multiplexing/index.md b/docs/guides/akamai/solutions/observability-with-datastream-and-multiplexing/index.md
index b9c0f38c5d3..25db3010fa6 100644
--- a/docs/guides/akamai/solutions/observability-with-datastream-and-multiplexing/index.md
+++ b/docs/guides/akamai/solutions/observability-with-datastream-and-multiplexing/index.md
@@ -27,7 +27,7 @@ Below are the high-level steps on how to use multiplexing with DataStream in an
1. Regional Object Storage buckets are used to store parsed log data.
-![DataStream and Multiplexing Workflow](Datastream-2-Multiplexing-Workflow.svg)
+![DataStream and Multiplexing Workflow](Datastream2-w-Multiplexing.svg)
## Overcoming Challenges
diff --git a/docs/guides/akamai/solutions/observability-with-datastream-and-trafficpeak/Advanced-Observability.svg b/docs/guides/akamai/solutions/observability-with-datastream-and-trafficpeak/Advanced-Observability.svg
new file mode 100644
index 00000000000..2964f8bc60c
--- /dev/null
+++ b/docs/guides/akamai/solutions/observability-with-datastream-and-trafficpeak/Advanced-Observability.svg
@@ -0,0 +1,353 @@
+
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diff --git a/docs/guides/akamai/solutions/observability-with-datastream-and-trafficpeak/index.md b/docs/guides/akamai/solutions/observability-with-datastream-and-trafficpeak/index.md
index cb46891e7e3..90f165e5e29 100644
--- a/docs/guides/akamai/solutions/observability-with-datastream-and-trafficpeak/index.md
+++ b/docs/guides/akamai/solutions/observability-with-datastream-and-trafficpeak/index.md
@@ -71,8 +71,9 @@ Below is a high-level diagram and walkthrough of a DataStream and TrafficPeak ar
1. TrafficPeak collects the information, providing extended data retention (+15 months), facilitating historical data trends and reporting, and enhancing overall visibility.
1. A Grafana dashboard supporting hundreds of users provides a unified view for DataStream and SIEM functions.
+{#advanced-observability-diagram .large-diagram}
-![DataStream With TrafficPeak Diagram](DataStream-With-TrafficPeak-Diagram.png)
+![DataStream With TrafficPeak Diagram](Advanced-Observability.svg?diagram-description-id=advanced-observability-diagram)
### Systems and Components