docker (centOS 7) 使用笔记5 - weave网络
weave官网 https://www.weave.works
1. 下载安装
- sudo curl -L git.io/weave -o /usr/local/bin/weave
- sudo chmod a+x /usr/local/bin/weave
2. 部署weave网络
(1) 在第一台机器上运行，如果使用默认的 10.0.*.* 网段则如下
- weave launch
本次测试使用自定义的网段，所以启动指令有所不同：
- weave launch --ipalloc-range 168.108.0.0/
启动成功后，会有3个weave的容器运行中
- # docker ps -a
- c9ed14e97dfd weaveworks/weave:2.0. "/home/weave/weave..." days ago Up days weave
- 7db070b5f54e weaveworks/weaveexec:2.0. "/bin/false" days ago Created weavevolumes-2.0.
- b6d603c8c7a8 weaveworks/weavedb "data-only" days ago Created weavedb
可看到增加了虚拟网卡 weave
- # ifconfig
- datapath: flags=<UP,BROADCAST,RUNNING,MULTICAST> mtu
- ether a6::9d:b6:5f: txqueuelen (Ethernet)
- RX packets bytes (84.0 B)
- RX errors dropped overruns frame
- TX packets bytes (0.0 B)
- TX errors dropped overruns carrier collisions
- docker0: flags=<UP,BROADCAST,MULTICAST> mtu
- inet 192.168.0.1 netmask 255.255.240.0 broadcast 0.0.0.0
- ether :::9e::4b txqueuelen (Ethernet)
- RX packets bytes (0.0 B)
- RX errors dropped overruns frame
- TX packets bytes (0.0 B)
- TX errors dropped overruns carrier collisions
- docker_gwbridge: flags=<UP,BROADCAST,RUNNING,MULTICAST> mtu
- inet 192.168.16.1 netmask 255.255.240.0 broadcast 0.0.0.0
- ether ::b9::2f:b8 txqueuelen (Ethernet)
- RX packets bytes (28.1 MiB)
- RX errors dropped overruns frame
- TX packets bytes (28.1 MiB)
- TX errors dropped overruns carrier collisions
- eth0: flags=<UP,BROADCAST,RUNNING,MULTICAST> mtu
- inet 10.28.148.61 netmask 255.255.252.0 broadcast 10.28.151.255
- ether ::3e:0e::7a txqueuelen (Ethernet)
- RX packets bytes (11.5 GiB)
- RX errors dropped overruns frame
- TX packets bytes (7.9 GiB)
- TX errors dropped overruns carrier collisions
- eth1: flags=<UP,BROADCAST,RUNNING,MULTICAST> mtu
- inet 101.37.162.152 netmask 255.255.252.0 broadcast 101.37.163.255
- ether ::3e:0e::ce txqueuelen (Ethernet)
- RX packets bytes (513.3 MiB)
- RX errors dropped overruns frame
- TX packets bytes (4.3 GiB)
- TX errors dropped overruns carrier collisions
- lo: flags=<UP,LOOPBACK,RUNNING> mtu
- inet 127.0.0.1 netmask 255.0.0.0
- loop txqueuelen (Local Loopback)
- RX packets bytes (28.1 MiB)
- RX errors dropped overruns frame
- TX packets bytes (28.1 MiB)
- TX errors dropped overruns carrier collisions
- veth7720327: flags=<UP,BROADCAST,RUNNING,MULTICAST> mtu
- ether 7e::f5::6d:9e txqueuelen (Ethernet)
- RX packets bytes (372.0 B)
- RX errors dropped overruns frame
- TX packets bytes (798.0 B)
- TX errors dropped overruns carrier collisions
- weave: flags=<UP,BROADCAST,RUNNING,MULTICAST> mtu
- ether c2:a6::::0a txqueuelen (Ethernet)
- RX packets bytes (84.0 B)
- RX errors dropped overruns frame
- TX packets bytes (0.0 B)
- TX errors dropped overruns carrier collisions
(2) 其他的节点加入加入上面已经创建的weave网络
- weave launch 10.28.148.61 --ipalloc-range 168.108.0.0/
(3) 创建网络成功的话，在每个节点上都可以用docker命令查看到weave网络
- # docker network ls
- NETWORK ID NAME DRIVER SCOPE
- 7c19813ffbff bridge bridge local
- a7a2188380ba docker_gwbridge bridge local
- 7f97ac1cfe6e host host local
- z08xcdlswkbk ingress overlay swarm
- dfa68b3918b3 none null local
- 42f695c8c061 weave weavemesh local
3. docker启动测试
(1) 启动相当简单，仅需正常的docker命令中指定network为weave就行了
- docker run -ti --network weave mytest
(2) 在2个节点上启动容器
在容器内部ifconfig可以看到容器使用的是weave的子网段，2个节点分别是168.108.0.1和168.108.192.0
- [root@f451f6736785 /]# ifconfig
- ethwe0 Link encap:Ethernet HWaddr :6E:BF:E4::A7
- inet addr:168.108.0.1 Bcast:0.0.0.0 Mask:255.255.0.0
- UP BROADCAST RUNNING MULTICAST MTU: Metric:
- RX packets: errors: dropped: overruns: frame:
- TX packets: errors: dropped: overruns: carrier:
- collisions: txqueuelen:
- RX bytes: (42.0 b) TX bytes: (42.0 b)
- eth0 Link encap:Ethernet HWaddr ::C0:A8::
- inet addr:192.168.16.6 Bcast:0.0.0.0 Mask:255.255.240.0
- UP BROADCAST RUNNING MULTICAST MTU: Metric:
- RX packets: errors: dropped: overruns: frame:
- TX packets: errors: dropped: overruns: carrier:
- collisions: txqueuelen:
- RX bytes: (0.0 b) TX bytes: (0.0 b)
- lo Link encap:Local Loopback
- inet addr:127.0.0.1 Mask:255.0.0.0
- UP LOOPBACK RUNNING MTU: Metric:
- RX packets: errors: dropped: overruns: frame:
- TX packets: errors: dropped: overruns: carrier:
- collisions: txqueuelen:
- RX bytes: (0.0 b) TX bytes: (0.0 b)
- [root@7c202270ff9f /]# ifconfig
- ethwe0 Link encap:Ethernet HWaddr F6:8D:A2:CB:EF:F5
- inet addr:168.108.192.0 Bcast:0.0.0.0 Mask:255.255.0.0
- UP BROADCAST RUNNING MULTICAST MTU: Metric:
- RX packets: errors: dropped: overruns: frame:
- TX packets: errors: dropped: overruns: carrier:
- collisions: txqueuelen:
- RX bytes: (0.0 b) TX bytes: (42.0 b)
- eth0 Link encap:Ethernet HWaddr ::C0:A8::
- inet addr:192.168.16.3 Bcast:0.0.0.0 Mask:255.255.240.0
- UP BROADCAST RUNNING MULTICAST MTU: Metric:
- RX packets: errors: dropped: overruns: frame:
- TX packets: errors: dropped: overruns: carrier:
- collisions: txqueuelen:
- RX bytes: (0.0 b) TX bytes: (0.0 b)
- lo Link encap:Local Loopback
- inet addr:127.0.0.1 Mask:255.0.0.0
- UP LOOPBACK RUNNING MTU: Metric:
- RX packets: errors: dropped: overruns: frame:
- TX packets: errors: dropped: overruns: carrier:
- collisions: txqueuelen:
- RX bytes: (0.0 b) TX bytes: (0.0 b)
在容器里可以互相ping通
- [root@f451f6736785 /]# ping 168.108.192.0
- PING 168.108.192.0 (168.108.192.0) () bytes of data.
- bytes from 168.108.192.0: icmp_seq= ttl= time=0.935 ms
- bytes from 168.108.192.0: icmp_seq= ttl= time=0.334 ms
- bytes from 168.108.192.0: icmp_seq= ttl= time=0.257 ms
- bytes from 168.108.192.0: icmp_seq= ttl= time=0.386 ms
- ^C
- --- 168.108.192.0 ping statistics ---
- packets transmitted, received, % packet loss, time 3845ms
- rtt min/avg/max/mdev = 0.257/0.478/0.935/0.267 ms
- [root@7c202270ff9f /]# ping 168.108.0.1
- PING 168.108.0.1 (168.108.0.1) () bytes of data.
- bytes from 168.108.0.1: icmp_seq= ttl= time=0.428 ms
- bytes from 168.108.0.1: icmp_seq= ttl= time=0.274 ms
- bytes from 168.108.0.1: icmp_seq= ttl= time=0.344 ms
- bytes from 168.108.0.1: icmp_seq= ttl= time=0.341 ms
- ^C
- --- 168.108.0.1 ping statistics ---
- packets transmitted, received, % packet loss, time 8592ms
- rtt min/avg/max/mdev = 0.235/0.301/0.428/0.056 ms
(3) 网速测试：
本次测试的环境是阿里云上的ECS，内网带宽为 1Gbits。
先安装iperf3(网速测试工具)
- curl "http://downloads.es.net/pub/iperf/iperf-3.0.6.tar.gz" -o iperf-3.0..tar.gz
- tar xzvf iperf-3.0..tar.gz
- cd iperf-3.0.
- ./configure
- make
- make install
在节点2上启动iperf服务
- # iperf3 -s
- -----------------------------------------------------------
- Server listening on
- -----------------------------------------------------------
在节点1上启动网速测试
- # iperf3 -c 168.108.192.0
- Connecting to host 168.108.192.0, port
- [ ] local 168.108.0.1 port connected to 168.108.192.0 port
- [ ID] Interval Transfer Bandwidth Retr Cwnd
- [ ] 0.00-1.00 sec MBytes 1.42 Gbits/sec KBytes
- [ ] 1.00-2.00 sec 95.2 MBytes Mbits/sec KBytes
- [ ] 2.00-3.00 sec 95.0 MBytes Mbits/sec KBytes
- [ ] 3.00-4.00 sec 96.2 MBytes Mbits/sec KBytes
- [ ] 4.00-5.00 sec 93.8 MBytes Mbits/sec KBytes
- [ ] 5.00-6.00 sec 95.0 MBytes Mbits/sec KBytes
- [ ] 6.00-7.00 sec 95.0 MBytes Mbits/sec KBytes
- [ ] 7.00-8.00 sec 95.0 MBytes Mbits/sec KBytes
- [ ] 8.00-9.00 sec 93.8 MBytes Mbits/sec KBytes
- [ ] 9.00-10.00 sec 95.0 MBytes Mbits/sec KBytes
- - - - - - - - - - - - - - - - - - - - - - - - - -
- [ ID] Interval Transfer Bandwidth Retr
- [ ] 0.00-10.00 sec MBytes Mbits/sec sender
- [ ] 0.00-10.00 sec MBytes Mbits/sec receiver
- iperf Done.
测试下来平均网速：发送速度 859 Mbits/sec ，收取速度 856 Mbits/sec。网速还是让人比较满意的。
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