Revert "Added Support for Docker Sync"

This reverts commit 19096d4.

Author: clintonb

README.md

@@ -55,31 +55,6 @@ For example to access the Catalog/Course Discovery Service, you can run:
 $ make devstack.open.discovery
 ```
 
-### Docker Sync
-
-Docker for Mac has known filesystem issues that significantly decrease performance. In order to mitigate these issues,
-we use [Docker Sync](https://github.com/EugenMayer/docker-sync/wiki) to synchronize file data from the host machine to
-the containers. Follow the steps below to setup Docker Sync.
-
-1. Ensure all containers are stopped.
-```
-$ make devstack.stop
-```
-
-2. Follow the installation instructions at https://github.com/EugenMayer/docker-sync/wiki to install Docker Sync.
-
-3. Run Docker Sync. This will be a separate process, so feel free to run this in a separate terminal window. Note that
-you may see errors about permissions on `node_modules` sub-directories. These can be safely ignored.
-```
-$ docker-sync start
-```
-
-4. Start devstack.
-```
-$ make devstack.start
-```
-
-
 ## Usernames and Passwords
 
 The provisioning script creates a Django superuser for every service.

docker-compose-sync.yml

@@ -66,6 +66,8 @@ services:
     image: edxops/credentials:devstack
     ports:
       - "18150:18150"
+    volumes:
+      - ../credentials:/edx/app/credentials/credentials
 
   discovery:
     command: /edx/app/discovery/devstack.sh start
@@ -80,6 +82,8 @@ services:
     image: edxops/discovery:devstack
     ports:
       - "18381:18381"
+    volumes:
+      - ../course-discovery:/edx/app/discovery/discovery
 
   ecommerce:
     command: /edx/app/ecommerce/devstack.sh start
@@ -93,6 +97,8 @@ services:
     image: edxops/ecommerce:devstack
     ports:
       - "18130:18130"
+    volumes:
+      - ../ecommerce:/edx/app/ecommerce/ecommerce
 
   edxapp:
     command: /edx/app/edxapp/devstack.sh start
@@ -105,6 +111,8 @@ services:
     ports:
       - "18000:18000"
       - "18010:18010"
+    volumes:
+      - ../edx-platform:/edx/app/edxapp/edx-platform
 
 volumes:
   elasticsearch_data: