Træfɪk 服务发现解决方案
Træfɪk is a modern HTTP reverse proxy and load balancer made to deploy microservices with ease. It supports several backends (Docker, Swarm, Mesos/Marathon, Consul, Etcd, Zookeeper, BoltDB, Amazon ECS, Rest API, file...) to manage its configuration automatically and dynamically.
Overview
Imagine that you have deployed a bunch of microservices on your infrastructure. You probably used a service registry (like etcd or consul) and/or an orchestrator (swarm, Mesos/Marathon) to manage all these services. If you want your users to access some of your microservices from the Internet, you will have to use a reverse proxy and configure it using virtual hosts or prefix paths:
- domain
api.domain.comwill point the microserviceapiin your private network - path
domain.com/webwill point the microservicewebin your private network - domain
backoffice.domain.comwill point the microservicesbackofficein your private network, load-balancing between your multiple instances
But a microservices architecture is dynamic... Services are added, removed, killed or upgraded often, eventually several times a day.
Traditional reverse-proxies are not natively dynamic. You can't change their configuration and hot-reload easily.
Here enters Træfɪk.

Træfɪk can listen to your service registry/orchestrator API, and knows each time a microservice is added, removed, killed or upgraded, and can generate its configuration automatically. Routes to your services will be created instantly.
Run it and forget it!
Quickstart
You can have a quick look at Træfɪk in this Katacoda tutorial that shows how to load balance requests between multiple Docker containers.
Here is a talk given by Ed Robinson at the ContainerCamp UK conference. You will learn fundamental Træfɪk features and see some demos with Kubernetes.
Here is a talk (in French) given by Emile Vauge at the Devoxx France 2016 conference. You will learn fundamental Træfɪk features and see some demos with Docker, Mesos/Marathon and Let's Encrypt.
Get it
Binary
You can grab the latest binary from the releases page and just run it with the sample configuration file:
./traefik -c traefik.toml
Docker
Using the tiny Docker image:
docker run -d -p 8080:8080 -p 80:80 -v $PWD/traefik.toml:/etc/traefik/traefik.toml traefik
Test it
You can test Træfɪk easily using Docker compose, with this docker-compose.yml file in a folder named traefik:
version: '2'
services:
proxy:
image: traefik
command: --web --docker --docker.domain=docker.localhost --logLevel=DEBUG
networks:
- webgateway
ports:
- "80:80"
- "8080:8080"
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- /dev/null:/traefik.toml
networks:
webgateway:
driver: bridge
Start it from within the traefik folder:
docker-compose up -d
In a browser you may open http://localhost:8080 to access Træfɪk's dashboard and observe the following magic.
Now, create a folder named test and create a docker-compose.yml in it with this content:
version: '2'
services:
whoami:
image: emilevauge/whoami
networks:
- web
labels:
- "traefik.backend=whoami"
- "traefik.frontend.rule=Host:whoami.docker.localhost"
networks:
web:
external:
name: traefik_webgateway
Then, start and scale it in the test folder:
docker-compose up -d
docker-compose scale whoami=2
Finally, test load-balancing between the two services test_whoami_1 and test_whoami_2:
$ curl -H Host:whoami.docker.localhost http://127.0.0.1
Hostname: ef194d07634a
IP: 127.0.0.1
IP: ::1
IP: 172.17.0.4
IP: fe80::42:acff:fe11:4
GET / HTTP/1.1
Host: 172.17.0.4:80
User-Agent: curl/7.35.0
Accept: */*
Accept-Encoding: gzip
X-Forwarded-For: 172.17.0.1
X-Forwarded-Host: 172.17.0.4:80
X-Forwarded-Proto: http
X-Forwarded-Server: dbb60406010d
$ curl -H Host:whoami.docker.localhost http://127.0.0.1
Hostname: 6c3c5df0c79a
IP: 127.0.0.1
IP: ::1
IP: 172.17.0.3
IP: fe80::42:acff:fe11:3
GET / HTTP/1.1
Host: 172.17.0.3:80
User-Agent: curl/7.35.0
Accept: */*
Accept-Encoding: gzip
X-Forwarded-For: 172.17.0.1
X-Forwarded-Host: 172.17.0.3:80
X-Forwarded-Proto: http
X-Forwarded-Server: dbb60406010d
Træfɪk 服务发现解决方案的更多相关文章
- 服务发现:Zookeeper vs etcd vs Consul
[编者的话]本文对比了Zookeeper.etcd和Consul三种服务发现工具,探讨了最佳的服务发现解决方案,仅供参考. 如果使用预定义的端口,服务越多,发生冲突的可能性越大,毕竟,不可能有两个服务 ...
- 为什么不应该使用Zookeeper做服务发现?(转载)
转载自: http://dockone.io/article/78 [编者的话]本文作者通过ZooKeeper与Eureka作为Service发现服务(注:WebServices体系中的UDDI就是个 ...
- 为什么不应该使用ZooKeeper做服务发现
[编者的话]本文作者通过ZooKeeper与Eureka作为Service发现服务(注:WebServices体系中的UDDI就是个发现服务)的优劣对比,分享了Knewton在云计算平台部署服务的经验 ...
- 服务发现:Zookeeper vs etcd vs Consul 参考自http://dockone.io/article/667
服务发现:Zookeeper vs etcd vs Consul [编者的话]本文对比了Zookeeper.etcd和Consul三种服务发现工具,探讨了最佳的服务发现解决方案,仅供参考. 如果使用预 ...
- 【转帖】为什么不要把ZooKeeper用于服务发现
http://www.infoq.com/cn/news/2014/12/zookeeper-service-finding ZooKeeper是Apache基金会下的一个开源的.高可用的分布式应用协 ...
- 寻找丢失的微服务-HAProxy热加载问题的发现与分析 原创: 单既喜 一点大数据技术团队 4月8日 在一点资讯的容器计算平台中,我们通过HAProxy进行Marathon服务发现。本文记录HAProxy服务热加载后某微服务50%概率失效的问题。设计3组对比实验,验证了陈旧配置的HAProxy在Reload时没有退出进而导致微服务丢失,并给出了解决方案. Keywords:HAProxy热加
寻找丢失的微服务-HAProxy热加载问题的发现与分析 原创: 单既喜 一点大数据技术团队 4月8日 在一点资讯的容器计算平台中,我们通过HAProxy进行Marathon服务发现.本文记录HAPro ...
- 服务发现之 Etcd VS Consul
抄自这里 *********************************************************************************************** ...
- .net core grpc consul 实现服务注册 服务发现 负载均衡(二)
在上一篇 .net core grpc 实现通信(一) 中,我们实现的grpc通信在.net core中的可行性,但要在微服务中真正使用,还缺少 服务注册,服务发现及负载均衡等,本篇我们将在 .net ...
- .net core Ocelot Consul 实现API网关 服务注册 服务发现 负载均衡
大神张善友 分享过一篇 <.NET Core 在腾讯财付通的企业级应用开发实践>里面就是用.net core 和 Ocelot搭建的可扩展的高性能Api网关. Ocelot(http:// ...
随机推荐
- sina sae搭建wordpress数据库配置
sina app engine上搭建wordpress,使用快速安装向导会无法连接数据库. 可以在本地修改好 wp-config.php再提交. <?php /** * WordPress 基础 ...
- poj2187凸包最远点对
暴力过了 #include<map> #include<set> #include<cmath> #include<queue> #include< ...
- 51nod-1670-打怪兽(递推/组合数学)
1670 打怪兽 基准时间限制:1 秒 空间限制:131072 KB 分值: 40 难度:4级算法题 收藏 关注 lyk在玩一个叫做“打怪兽”的游戏.游戏的规则是这样的.lyk一开始会有一个初始 ...
- IOS - 前台时的推送弹窗效果
作者:Pikacode 原文链接:http://www.jianshu.com/p/67864e1c2085 本文获作者授权转载 或许很多童鞋还不知道,在 iOS 中收到推送通知时,如果 App 处于 ...
- Symmetrical Network Acceleration with EBS 12
Andy Tremayne, my esteemed colleague and fellow blogger, has published a new whitepaper that discuss ...
- 转:基于Flume的美团日志收集系统(一)架构和设计
美团的日志收集系统负责美团的所有业务日志的收集,并分别给Hadoop平台提供离线数据和Storm平台提供实时数据流.美团的日志收集系统基于Flume设计和搭建而成. <基于Flume的美团日志收 ...
- 【zznu-夏季队内积分赛3-G】2333
题目描述 “别人总说我瓜,其实我一点也不瓜,大多数时候我都机智的一批“ 宝儿姐考察你一道很简单的题目.给你一个数字串,你能判断有多少个连续子串能整除3吗? 输入 多实例输入,以EOF结尾,每行一个数字 ...
- 【nyoj-1233】差值
描述 输入一个整数数组,将它们连接起来排成一个数,找出能排出的所有数字中最大,最小的两个,输出两个数的差值.例如输入数组{1, 2},则输出9. 输入 第一行输入一个整数T,表示有T组测试数 ...
- poj21516
首先对于一种商品 如果这种货不足需求就直接输出-1 剩下的就是KM算法 分k次分别计算每种商品的最小权值匹配 代码: #include<cstdio> #include<cstrin ...
- HDU 3923 Invoker(polya定理+乘法逆元(扩展欧几里德+费马小定理))
Invoker Time Limit : 2000/1000ms (Java/Other) Memory Limit : 122768/62768K (Java/Other) Total Subm ...