add link for the file title

README.md

@@ -11,40 +11,40 @@ $ sudo pip install docker-compose
 ```
 
 # Docker-compose Usage
-See [https://docs.docker.com/compose/](https://docs.docker.com/compose/).
+See [Docker Compose Documentation](https://docs.docker.com/compose/).
 
 
-# Examples
+# Examples files
 
-## consul-discovery
+## [consul-discovery](consul-discovery)
 Using consul to make a service-discoverable architecture.
 
-## elk_netflow
+## [elk_netflow](elk_netflow)
 Elk cluster, with netflow support.
 ```sh
 docker-compose scale es=3
 ```
 
-## haproxy_web
+## [haproxy_web](haproxy_web)
 A simple haproxy and web applications cluster.
 
-## mongo_cluster
+## [mongo_cluster](mongo_cluster)
 Start 3 mongo instance to make a replica set.
 
-## mongo-elasticsearch
+## [mongo-elasticsearch](mongo-elasticsearch)
 Start mongo (as cluster) and elasticsearch, use a mongo-connector to sync the data from mongo to elasticsearch.
 
-## mongo_webui
+## [mongo_webui](mongo_webui)
 Start 1 mongo instance and a mongo-express web tool to watch it.
 
 The mongo instance will store data into local /opt/data/mongo_home.
 
 The web UI will listen on local 8081 port.
 
-## nginx_auth
+## [nginx_auth](nginx_auth)
 Use nginx as a proxy with authentication for backend application.
 
-## packetbeat_ek
+## [packetbeat_ek](packetbeat_ek)
 Demo the packetbeat, elasticsearch and kibana.
 
 Some kibana [dashboard config](https://github.com/elastic/beats-dashboards) files are included.
@@ -54,10 +54,10 @@ To import them, after all containers startup, go inside the kibana container, an
 $ /kibana/beats-dashboards-1.0.1/load.sh http://elasticsearch:9200
 ```
 
-## registry_mirror
+## [registry_mirror](registry_mirror)
 docker registry mirror, with redis as the backend cache.
 
-## spark_cluster
+## [spark_cluster](spark_cluster)
 Spark cluster with master and worker nodes.
 ```sh
 docker-compose scale worker=2