diff --git a/streaming/http-to-mysql/README.adoc b/streaming/http-to-mysql/README.adoc
index 901216a..43815e5 100644
--- a/streaming/http-to-mysql/README.adoc
+++ b/streaming/http-to-mysql/README.adoc
@@ -68,7 +68,7 @@ dataflow:>version
 +
 
 ```
-dataflow:>app import --uri http://bit.ly/stream-applications-kafka-maven
+dataflow:>app import --uri http://bit.ly/1-0-4-GA-stream-applications-kafka-maven
 ```
 
 +
@@ -125,7 +125,7 @@ In order to get started, make sure that you have the following components:
 * Local build of https://github.com/spring-cloud/spring-cloud-dataflow[Spring Cloud Data Flow]
 * Local build of Spring Cloud Data Flow's https://github.com/spring-cloud/spring-cloud-dataflow-server-cloudfoundry[Cloud Foundry Server]
 * Running instance of `rabbit` in Cloud Foundry
-* Running instance of `mysql`
+* Running instance of `mysql` in Cloud Foundry
 * A database utility tool such as link:http://dbeaver.jkiss.org/[DBeaver] or link:https://www.dbvis.com/[DbVisualizer]
 * Create the `names` table (in MySQL) using:
 +
@@ -209,7 +209,7 @@ dataflow:>version
 +
 
 ```
-dataflow:>app import --uri http://bit.ly/stream-applications-rabbit-maven
+dataflow:>app import --uri http://bit.ly/1-0-4-GA-stream-applications-rabbit-maven
 ```
 
 +
@@ -217,11 +217,17 @@ dataflow:>app import --uri http://bit.ly/stream-applications-rabbit-maven
 +
 
 ```
-dataflow:>stream create --name mysqlstream --definition "http | jdbc --spring.datasource.url='jdbc:mysql://<HOST>:<PORT>/<NAME>' --spring.datasource.username=<USERNAME> --spring.datasource.password=<PASSWORD> --tableName=names --columns=name" --deploy
+dataflow:>stream create --name mysqlstream --definition "http | jdbc --tableName=names --columns=name"
+Created new stream 'mysqlstream'
+
+dataflow:>stream deploy --name mysqlstream --properties "app.jdbc.spring.cloud.deployer.cloudfoundry.services=mysql"
+Deployed stream 'mysqlstream'
 
-Created and deployed new stream 'mysqlstream'
 ```
 +
+
+NOTE: By supplying `mysql` property through `app.jdbc.spring.cloud.deployer.cloudfoundry.services` token, we are deploying the stream with `jdbc-sink` to automatically bind to `mysql` service and only this application in the stream gets the service binding. This also eliminates the requirement to supply `datasource` credentials in stream definition.
++
 . Verify the stream is successfully deployed
 +
 ```