diff --git a/examples/advanced/monitoring/README.md b/examples/advanced/monitoring/README.md
index 88716a0574..99eee0d84a 100644
--- a/examples/advanced/monitoring/README.md
+++ b/examples/advanced/monitoring/README.md
@@ -1,7 +1,9 @@
-# NVFLARE Metrics Monitoring Setup
+# NVFLARE System Metrics Monitoring
 
-This guide describes how to set up NVFLARE metrics publishing to StatsD Exporter, which then can be scraped by Prometheus and visualized with Grafana.
+FLARE Monitoring provides a initial solution for tracking system metrics of your federated learning jobs.
+Different from Machine learning experiment tracking, where it focused on the training metrics, the monitoring here focused on the FL system: i.e. job and system lifecycle metrics.
 
+This guide describes how to set up NVFLARE metrics publishing to StatsD Exporter, which then can be scraped by Prometheus and visualized with Grafana.
 
 ## Setup Types
 
diff --git a/examples/advanced/monitoring/jobs/README.md b/examples/advanced/monitoring/jobs/README.md
index de4b899030..f6bbd30b70 100644
--- a/examples/advanced/monitoring/jobs/README.md
+++ b/examples/advanced/monitoring/jobs/README.md
@@ -1,5 +1,8 @@
 # FLARE Monitoring
-FLARE Monitoring provides a comprehensive solution for tracking and analyzing the performance of your federated learning jobs. This guide will walk you through the steps to set up and use the monitoring system effectively.
+FLARE Monitoring provides a initial solution for tracking system metrics of your federated learning jobs.
+Different from Machine learning experiment tracking, where it focused on the training metrics, the monitoring here focused on the FL system: i.e. job and system lifecycle metrics. 
+
+This guide will walk you through the steps to set up and use the monitoring system effectively.
 Please see [hello-pytorch](../../../../hello-world/hello-pt/README.md) for details on how to run hello-pt.
 
 ## Prepare Code