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当你有若干个容器之后，你可能就希望实现容器的跨机部署访问了，比如aspnetcore在一台host上，mysql在另外一个host上，如果要实现这样的功能，需要你
借助docker自带的overlay网络模型了。
一： overlay网络模型
要想快速的搭建overlay网络，你可以通过docker默认的swarm集群给你默认生成的名ingress的overlay网络，这样会默认开放一些端口供底层机器内的访问,比如：
UDP 4789 是用于overlay network
流量传输的，作为开发角度，你只需要知道这是一个基于底层物理网络构建出的一个上层虚拟网络，而你的程序都是跑在这个虚拟网
络上，如果要画图，大概就是这样吧！
二：通过docker swarm构建overlay网络
为了构建overlay网络，需要备有两台机器（使用虚拟机即可）：
192.168.23.146 manager 192.168.23.147 worker
使用起来很简单，在 146机器上执行 docker swarm init 初始化一个集群，同时默认了该机作为 cluster 的manager节点。
[root@manager ~]# docker swarm init Swarm initialized: current node
(g0o8vkgzruv63hsx4pkjs0yfk) is now a manager. To add a worker to this swarm,
run the following command: docker swarmjoin --token SWMTKN-1
-0oxo6qrxwvl8xlneq0jqz2zd87nkj7c0vyf1h9m8kcj3qbzd4v-3eu9zb5athq0s2n79rncbejb1
192.168.23.146:2377 To add a manager to this swarm, run 'docker swarm
join-token manager' and follow the instructions. [root@manager ~]# docker node
ls ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
g0o8vkgzruv63hsx4pkjs0yfk* manager Ready Active Leader 18.09.6 [root@manager ~]#
当执行完init之后，通过node ls
可以看到，当前cluster集群中只有一个node节点，而且还是Leader，同时docker还告诉我们怎么将其他node加入到集群中作为
worker节点，验证方式是token，好了，那我可以将这段output copy到 147 的 shell上。
[root@worker ~]# docker swarm join --token SWMTKN-1
-0oxo6qrxwvl8xlneq0jqz2zd87nkj7c0vyf1h9m8kcj3qbzd4v-3eu9zb5athq0s2n79rncbejb1
192.168.23.146:2377 This node joined a swarm as a worker.
最后通过在 146 上执行 docker node ls 看一下集群信息，可以看到146，147都在一个集群了。
[root@manager ~]# docker node ls ID HOSTNAME STATUS AVAILABILITY MANAGER
STATUS ENGINE VERSION g0o8vkgzruv63hsx4pkjs0yfk* manager Ready Active Leader
18.09.6 ojjngean30orjzswh72o25rsr worker Ready Active 18.09.6
接下来再看一下，4789端口是否开放了，同时看一下ingress的overlay是否开启了，如下：
[root@manager ~]# docker network ls NETWORK ID NAME DRIVER SCOPE f5fbe8d71b5a
bridge bridge local 91cfc77a3c7f docker_gwbridge bridge local ac4a48a43517 host
host local5eux1lz4yom7 ingress overlay swarm 02f9bfe179ca none null local
[root@manager~]# netstat -tlnpu Active Internet connections (only servers)
Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0
0.0.0.0:22 0.0.0.0:* LISTEN 4854/sshd tcp 0 0 127.0.0.1:25 0.0.0.0:* LISTEN 5523
/master tcp6 0 0 :::2377 :::* LISTEN 6349/dockerd tcp6 0 0 :::7946 :::* LISTEN
6349/dockerd tcp6 0 0 :::22 :::* LISTEN 4854/sshd tcp6 0 0 ::1:25 :::* LISTEN
5523/master udp 0 0 0.0.0.0:47160 0.0.0.0:* 4549/avahi-daemon: udp 0 0 0.0.0.0:
68 0.0.0.0:* 4649/dhclient udp 0 0 0.0.0.0:123 0.0.0.0:* 4555/chronyd udp 0 0
127.0.0.1:323 0.0.0.0:* 4555/chronyd udp 0 0 0.0.0.0:4789 0.0.0.0:* - udp 0 0
0.0.0.0:5353 0.0.0.0:* 4549/avahi-daemon: udp 0 0 0.0.0.0:26134 0.0.0.0:* 4649/
dhclient udp60 0 :::123 :::* 4555/chronyd udp6 0 0 ::1:323 :::* 4555/chronyd
udp60 0 :::47743 :::* 4649/dhclient udp6 0 0 :::7946 :::* 6349/dockerd
默认名为ingress 的overlay
driver是默认是不支持standalone容器加入的，所以我需要重新new一个overlay，并设置一下允许standalone容器加入此网络，好了，
说干就干，new了一个 test-net的overlay网络，通过--attachable 开启附加功能。
[root@manager ~]# docker network create --driver=overlay --attachable test-net
dajh2glpfattdnq2ahqchlhur [root@manager~]# docker network ls NETWORK ID NAME
DRIVER SCOPE f5fbe8d71b5a bridge bridge local 91cfc77a3c7f docker_gwbridge
bridge local ac4a48a43517 host host local 5eux1lz4yom7 ingress overlay swarm
02f9bfe179ca nonenull local dajh2glpfatt test-net overlay swarm
三：python 跨机连接 redis
我准备把redis放在147机器上， python application 放在 146上，python 通过
对方的容器名（some-redis） 进行连接，如下图所示：
1. 在147上执行docker run时附加 network 为指定的 test-net 网络
[root@worker ~]# docker run --network test-net --name some-redis -d redis
eca08e67e35160661e090ca42a61dacaee5dd8ca99f8e9c25e59ae6927d66328
2. python应用程序
主要有三个部分，app.py, Dockerfile, requirements.txt。
《1》 app.py
下面要注意的是，在redis的构造函数中指定了host= some-redis ，也就是 147启动容器名。
from flask import Flask from redis import Redis, RedisError import os import
socket# Connect to Redis redis = Redis(host="some-redis", db=0,
socket_connect_timeout=2, socket_timeout=2) app = Flask(__name__) @app.route("/"
)def hello(): try: visits = redis.incr("counter") except RedisError: visits = "
<i>cannot connect to Redis, counter disabled</i>" html = "<b>Hostname:</b>
{hostname}<br/>" \ "<b>Visits:</b> {visits}" return
html.format(hostname=socket.gethostname(), visits=visits) if __name__ == "
__main__": app.run(host='0.0.0.0', port=80)
《2》 Flask 和 Redis 依赖包 （requirements.txt）
Flask Redis
《3》 最后就是dockerfile
FROM python:2.7-slim WORKDIR /app COPY . . EXPOSE 80 RUN pip install
--trusted-host pypi.python.org -r requirements.txtVOLUME [ "/app" ] CMD [
"python", "app.py" ]
有了这三个，接下来就可以构建image了。
[root@manager app]# docker build -t pyweb:v1 . Sending build context to Docker
daemon4.608kB Step 1/7 : FROM python:2.7-slim 2.7-slim: Pulling from library/
python fc7181108d40: Already exists 8c60b810a35a: Pull complete d207b275197c:
Pull complete 63184f224d60: Pull complete Digest:
sha256:1405fa2f8e9a232e2f60cafbb2b06ca2f1e0f577f4b4c397c361d6dba59fd24e Status:
Downloaded newer imagefor python:2.7-slim ---> ca96bab3e2aa Step 2/7 : WORKDIR /
app---> Running in 6b8324c10dc0 Removing intermediate container 6b8324c10dc0
---> a85fb403c57b Step 3/7 : COPY . . ---> f13015df5bf7 Step 4/7 : EXPOSE 80
---> Runningin 408a718df2b4 Removing intermediate container 408a718df2b4 --->
39d30c3a092d Step5/7 : RUN pip install --trusted-host pypi.python.org -r
requirements.txt---> Running in 0ee0982739d5 DEPRECATION: Python 2.7 will reach
the end of its life on January 1st,2020. Please upgrade your Python as Python
2.7 won't be maintained after that date. A future version of pip will drop
support for Python 2.7. Collecting Flask (from -r requirements.txt (line 1))
Downloading https://
files.pythonhosted.org/packages/c3/31/6904ac846fc65a7fa6cac8b4ddc392ce96ca08ee67b0f97854e9575bbb26/Flask-1.1.0-py2.py3-none-any.whl
(94kB) Collecting Redis (from -r requirements.txt (line 2)) Downloading https://
files.pythonhosted.org/packages/ac/a7/cff10cc5f1180834a3ed564d148fb4329c989cbb1f2e196fc9a10fa07072/redis-3.2.1-py2.py3-none-any.whl
(65kB) Collecting Jinja2>=2.10.1 (from Flask->-r requirements.txt (line 1))
Downloading https://
files.pythonhosted.org/packages/1d/e7/fd8b501e7a6dfe492a433deb7b9d833d39ca74916fa8bc63dd1a4947a671/Jinja2-2.10.1-py2.py3-none-any.whl
(124kB) Collecting click>=5.1 (from Flask->-r requirements.txt (line 1))
Downloading https://
files.pythonhosted.org/packages/fa/37/45185cb5abbc30d7257104c434fe0b07e5a195a6847506c074527aa599ec/Click-7.0-py2.py3-none-any.whl
(81kB) Collecting Werkzeug>=0.15 (from Flask->-r requirements.txt (line 1))
Downloading https://
files.pythonhosted.org/packages/9f/57/92a497e38161ce40606c27a86759c6b92dd34fcdb33f64171ec559257c02/Werkzeug-0.15.4-py2.py3-none-any.whl
(327kB) Collecting itsdangerous>=0.24 (from Flask->-r requirements.txt (line 1
)) Downloading https://
files.pythonhosted.org/packages/76/ae/44b03b253d6fade317f32c24d100b3b35c2239807046a4c953c7b89fa49e/itsdangerous-1.1.0-py2.py3-none-any.whl
Collecting MarkupSafe>=0.23 (from Jinja2>=2.10.1->Flask->-r requirements.txt
(line1)) Downloading https://
files.pythonhosted.org/packages/fb/40/f3adb7cf24a8012813c5edb20329eb22d5d8e2a0ecf73d21d6b85865da11/MarkupSafe-1.1.1-cp27-cp27mu-manylinux1_x86_64.whl
Installing collected packages: MarkupSafe, Jinja2, click, Werkzeug,
itsdangerous, Flask, Redis Successfully installed Flask-1.1.0 Jinja2-2.10.1
MarkupSafe-1.1.1 Redis-3.2.1 Werkzeug-0.15.4 click-7.0 itsdangerous-1.1.0
Removing intermediate container 0ee0982739d5---> 704e7d655494 Step 6/7 : VOLUME
["/app" ] ---> Running in 0c4ad68db249 Removing intermediate container
0c4ad68db249---> 5b0ce6eef187 Step 7/7 : CMD [ "python", "app.py" ] ---> Running
in 388d972cbd6d Removing intermediate container 388d972cbd6d ---> fd7a0ffca7fc
Successfully built fd7a0ffca7fc Successfully tagged pyweb:v1 [root@manager app]#
docker run-d --network test-net -p 80:80 -v /app:/app --name pyapp pyweb:v1
9d419507b00adddd003f8e45580ec1ee48d4a0347091b65da1bc183a8bbe1dc2 [root@manager
app]#docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
9d419507b00a pyweb:v1"python app.py" 4 seconds ago Up 2 seconds 0.0.0.0:80->80/
tcp pyapp [root@manager app]#
然后访问一下
http://192.168.23.146，每刷新一下page，都会执行一次redis.incr操作。，这样就实现了多容器之间的跨机器访问，大家也可以把这些放到
docker-compose文件中哦。
好了，本篇就说到这里，希望对你有帮助。
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