diff --git a/README.md b/README.md
index 1f7b6e5190b8a878d2be31478e0bfe0d2012dd71..0b8ed222539f87c953c32eb207bcf58b72da1fd2 100644
--- a/README.md
+++ b/README.md
@@ -25,21 +25,24 @@ The core features are following.
 - Slow services and endpoints detected
 - Performance optimization
 - Distributed tracing and context propagation
-- Database access metrics. Detect slow database access statements(including SQL statements).
+- Database access metrics. Detect slow database access statements(including SQL statements)
 - Alarm
 - Browser performance monitoring
+- Infrastructure(VM, network, disk etc.) monitoring
+- Collaboration across metrics, traces, and logs
 
 <img src="http://skywalking.apache.org/assets/frame-v8.jpg?u=20201105"/>
 
-SkyWalking supports to collect telemetry (traces and metrics) data from multiple sources
+SkyWalking supports to collect telemetry (metrics, traces, and logs) data from multiple sources
 and multiple formats,
 including
 1. Java, .NET Core, NodeJS, PHP, and Python auto-instrument agents.
 1. Go and C++ SDKs.
 1. LUA agent especially for Nginx, OpenResty.
+1. Browser agent.
 1. Service Mesh Observability. Control panel and data panel. 
 1. Metrics system, including Prometheus, OpenTelemetry, Spring Sleuth(Micrometer).
-1. Browser application performance, including metrics and error logs.
+1. Logs.
 1. Zipkin v1/v2 and Jaeger gRPC format with limited topology and metrics analysis.(Experimental).
 
 SkyWalking OAP is using the STAM(Streaming Topology Analysis Method) to analysis topology in the tracing based agent scenario