Update docs for new release

Author: ivan-khvostishkov

README.md

@@ -640,6 +640,17 @@ Once configured, from the Launcher choose the environment, puck up the lifecycle
 sm-local-configure
 ```
 
+4. Set your SageMaker Studio domain ID and user profile name:
+
+```bash
+sm-local-ssh-ide set-domain-id <<domain_id>>
+sm-local-ssh-ide set-user-profile-name <<user_profile_name>>
+```
+
+Since SageMaker Studio app names are not unique across domains and user profiles, it will help to find the correct instance in a multi-user environment.
+
+For your convenience, the domain ID and the user profile name are printed by the `sm-ssh-ide get-metadata` command when you run the notebook (check the cell output).
+
 4. Start SSH tunnel and port forwarding from a terminal session as follows:
 
 ```shell
@@ -650,6 +661,8 @@ The parameter <<kernel_gateway_app_name>> is either taken from SageMaker Studio
 or from the image terminal as a `hostname` output, or you can find it in the list of running apps in AWS Console under Amazon SageMaker -> Control Panel -> User Details.
 It looks like this: `sagemaker-data-science-ml-m5-large-1234567890abcdef0`.
 
+For your convenience, the app name is printed by the `sm-ssh-ide get-metadata` command when you run the notebook (check the cell output).
+
 The local port `10022` will be connected to the remote SSH server port, to let you connect with SSH from IDE.  
 In addition, the local port `8889` will be connected to remote Jupyter notebook port, the port `5901` to the remote VNC server 
 and optionally the remote port `443` will be connected to your local PyCharm license server address.

images/Flow_IDE.png

@@ -122,8 +122,8 @@ ssm_agent -> ssm: Go online
 
 
 note right dev
-sm-local-ssh-ide set-domain d-egm0dexample
-sm-local-ssh-ide set-user terry-whitlock
+sm-local-ssh-ide set-domain-id d-egm0dexample
+sm-local-ssh-ide set-user-profile-nam terry-whitlock
 end note
 
 note right dev