diff --git a/Makefile b/Makefile
index 818422b4ff..70e88127ad 100644
--- a/Makefile
+++ b/Makefile
@@ -59,8 +59,8 @@ docker-peerconnection_serverless:
 	cp modules/third_party/onnxinfer/lib/*.so.* $(target_lib_dir)
 
 	mkdir -p $(target_bin_dir)
-	cp $(output_dir)/peerconnection_serverless $(target_bin_dir)
-	cp examples/peerconnection/serverless/peerconnection_serverless_pyinfer $(target_bin_dir)
+	cp $(output_dir)/peerconnection_serverless $(target_bin_dir)/peerconnection_serverless.origin
+	cp examples/peerconnection/serverless/peerconnection_serverless $(target_bin_dir)
 
 	mkdir -p $(target_pylib_dir)
 	cp modules/third_party/cmdinfer/*.py $(target_pylib_dir)/
diff --git a/README.md b/README.md
index 70cb54c8aa..e9dc59c6b2 100644
--- a/README.md
+++ b/README.md
@@ -189,7 +189,7 @@ This section describes required fields for the json configuration file.
 
 ##### PyInfer
 
-The default bandwidth estimator is PyInfer, You should implement your Python class named `Estimator` with required methods `report_states` and `get_estimated_bandwidth` in Python file `BandwidthEstimator.py ` and put this file in your workspace. And you should use the `peerconnection_serverless_pyinfer` as the start program.
+The default bandwidth estimator is PyInfer, You should implement your Python class named `Estimator` with required methods `report_states` and `get_estimated_bandwidth` in Python file `BandwidthEstimator.py ` and put this file in your workspace.
 There is an example of Estimator with fixed estimated bandwidth 1Mbps. Here is an example [BandwidthEstimator.py](examples/peerconnection/serverless/corpus/BandwidthEstimator.py).
 
 ```python
@@ -231,8 +231,8 @@ If you want to use the ONNXInfer as the bandwidth estimator, you should specify
 
     PyInfer:
     ```shell
-    sudo docker run -d --rm -v `pwd`/examples/peerconnection/serverless/corpus:/app -w /app --name alphartc alphartc peerconnection_serverless_pyinfer receiver_pyinfer.json
-    sudo docker exec alphartc peerconnection_serverless_pyinfer sender_pyinfer.json
+    sudo docker run -d --rm -v `pwd`/examples/peerconnection/serverless/corpus:/app -w /app --name alphartc alphartc peerconnection_serverless receiver_pyinfer.json
+    sudo docker exec alphartc peerconnection_serverless sender_pyinfer.json
     ```
 
     ONNXInfer:
diff --git a/azure-pipelines.yml b/azure-pipelines.yml
index b28ec30c63..81c4f9f00b 100644
--- a/azure-pipelines.yml
+++ b/azure-pipelines.yml
@@ -34,6 +34,11 @@ steps:
             && docker exec alphartc peerconnection_serverless sender.json
   displayName: 'run example'
 
-- script: docker run -d --rm -v `pwd`/examples/peerconnection/serverless/corpus:/app -w /app --name alphartc_pyinfer alphartc peerconnection_serverless_pyinfer receiver_pyinfer.json
-            && docker exec alphartc_pyinfer peerconnection_serverless_pyinfer sender_pyinfer.json
-  displayName: 'run cmdinfer example'
+- script: docker run -d --rm -v `pwd`/examples/peerconnection/serverless/corpus:/app -w /app --name alphartc_pyinfer alphartc peerconnection_serverless receiver_pyinfer.json
+            && docker exec alphartc_pyinfer peerconnection_serverless sender_pyinfer.json
+  displayName: 'run pyinfer example'
+
+- publish: $(System.DefaultWorkingDirectory)/target
+  continueOnError: true
+  artifact: target
+  displayName: "Archive AlphaRTC Peerconnection"
diff --git a/examples/peerconnection/serverless/peerconnection_serverless_pyinfer b/examples/peerconnection/serverless/peerconnection_serverless
similarity index 94%
rename from examples/peerconnection/serverless/peerconnection_serverless_pyinfer
rename to examples/peerconnection/serverless/peerconnection_serverless
index 518efc0164..b3121f7d3e 100755
--- a/examples/peerconnection/serverless/peerconnection_serverless_pyinfer
+++ b/examples/peerconnection/serverless/peerconnection_serverless
@@ -14,7 +14,7 @@ import cmdinfer
 
 def main():
     app = subprocess.Popen(
-        ["peerconnection_serverless"] + sys.argv[1:],
+        ["peerconnection_serverless.origin"] + sys.argv[1:],
         bufsize=1,
         stdin=subprocess.PIPE,
         stdout=subprocess.PIPE,