配置docker的负载均衡
1.建立一个文件docker-compose.yml，具体内容如下：
This docker-compose.yml file tells Docker to do the following:（具体解释如下）
Run five instances of the image we uploaded in step 2 as a service called web, limiting each one to use, at most, 10% of the CPU (across all cores), and 50MB of RAM.
# 运行我们之前制作好放置到docker仓库的docker 镜像，限制每个使用的资源为10%的CPU和50MB的内存
Immediately restart containers if one fails. # 如果失败快速重启
Map port 80 on the host to web’s port 80. # 映射到外部的80端口
Instruct web’s containers to share port 80 via a load-balanced network called web net. (Internally, the containers themselves will publish to web’s port 80 at an ephemeral port.)
# 通过负载均衡分享80端口
Define the web net network with the default settings (which is a load-balanced overlay network).
#用默认的设置定义网络
2.Run your new load-balanced app
Before we can use the docker stack deploy command we’ll first run（用doker stack deploy命令之前必须先执行下边的命令）
[root@host1 ~]#docker swarm init
Note: We’ll get into the meaning of that command in part 4. If you don’t run docker swarm init you’ll get an error that “this node is not a swarm manager.”
Now let’s run it. You have to give your app a name – here it is set to getstartedlab:
# 运行命令，之前要先起一个名字，这里设置的是getstartedlab
[root@host1 ~]#docker stack deploy -c docker-compose.yml getstartedlab
See a list of the five containers you just launched:
[root@host1 ~]#docker stack ps getstartedlab
You can run curl http://localhost several times in a row, or go to that URL in your browser and hit refresh a few times. Either way, you’ll see the container ID randomly change, demonstrating the load-balancing; with each request, one of the five replicas is chosen at random to respond.
# 通过网址访问刷新，会看到页面的容器ID 不断的发生变化，演示着负载均衡的效果，随机的五选一来回复
3.Scale the app（规模化应用 ）
You can scale the app by changing the replicas value in docker-compose.yml, saving the change, and re-running the docker stack deploy command:（当docker-compose.yml文件的内容发生变化时，可以通过重新执行docker stack deploy -c docker-compose.yml getstartedlab来重新部署，不需要先关闭再重新启动）
[root@host1 ~]#docker stack deploy -c docker-compose.yml getstartedlab
Docker will do an in-place update, no need to tear the stack down first or kill any containers.
4.Take down the app
Take the app down with docker stack rm:（关闭app）
[root@host1 ~]#docker stack rm getstartedlab
It’s as easy as that to stand up and scale your app with Docker. You’ve taken a huge step towards learning how to run containers in production. Up next, you will learn how to run this app on a cluster of machines.（下一节讲述如何在集群运行应用）
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