Some typical docker compose examples.

If you're not familiar with Docker, can have a look at these books (in CN):

• Docker Practice

$ curl -sSL https://get.docker.com/ | sh
$ sudo pip install docker-compose

See Docker Compose Documentation.

Using consul to make a service-discoverable architecture.

Discuz with apache and mysql.

ELK example.

Elk cluster, with netflow support.

docker-compose scale es=3

A simple haproxy and web applications cluster.

Quickly bootup a hyperledger fabric cluster with several validator nodes, without vagrant or any manual configuration.

Now we support from v0.6 to v1.0.x.

See hyperledger_fabric for more details.

Start a simple kafka service for testing.

Deploy nginx, mysql, php + wordpress.

Start 3 mongo instance to make a replica set.

Start mongo (as cluster) and elasticsearch, use a mongo-connector to sync the data from mongo to elasticsearch.

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.

Use nginx as a proxy with authentication for backend application.

Demo the packetbeat, elasticsearch and kibana.

Some kibana dashboard config files are included.

To import them, after all containers startup, go inside the kibana container, and run

$ cd /kibana/beats-dashboards-1.0.1 && ./load.sh http://elasticsearch:9200

A redis serer and a redis client (send a PING to the server).

docker registry mirror, with redis as the backend cache.

Spark cluster with master and worker nodes.

docker-compose scale worker=2

Try submitting a test pi application using the spark-submit command.

/urs/local/spark/bin/spark-submit --master spark://master:7077 --class org.apache.spark.examples.SparkPi /usr/local/spark/lib/spark-examples-1.4.0-hadoop2.6.0.jar 1000