[](https://traefik.herokuapp.com)
It supports several backends ([Docker](https://www.docker.com/), [Swarm](https://docs.docker.com/swarm), [Kubernetes](http://kubernetes.io), [Marathon](https://mesosphere.github.io/marathon/), [Mesos](https://github.com/apache/mesos), [Kubernetes](http://kubernetes.io/), [Consul](https://www.consul.io/), [Etcd](https://coreos.com/etcd/), [Zookeeper](https://zookeeper.apache.org), [BoltDB](https://github.com/boltdb/bolt), Rest API, file...) to manage its configuration automatically and dynamically.
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.com` will point the microservice `api` in your private network
- path `domain.com/web` will point the microservice `web` in your private network
- domain `backoffice.domain.com` will point the microservices `backoffice` in 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.
You can have a quick look at Træfɪk in this [Katacoda tutorial](https://www.katacoda.com/courses/traefik/deploy-load-balancer) that shows how to load balance requests between multiple Docker containers.
- The simple way: grab the latest binary from the [releases](https://github.com/containous/traefik/releases) page and just run it with the [sample configuration file](https://raw.githubusercontent.com/containous/traefik/master/traefik.sample.toml):
Please note that this project is released with a [Contributor Code of Conduct](CODE_OF_CONDUCT.md). By participating in this project you agree to abide by its terms.
You can join [](https://traefik.herokuapp.com) to get basic support.
These projects use Træfɪk internally. If your company uses Træfɪk, we would be glad to get your feedback :) Contact us on [](https://traefik.herokuapp.com)
> Mantl is a modern platform for rapidly deploying globally distributed services. A container orchestrator, docker, a network stack, something to pool your logs, something to monitor health, a sprinkle of service discovery and some automation.
- Project [Apollo](http://capgemini.github.io/devops/apollo/) from Cap Gemini
> Apollo is an open source project to aid with building and deploying IAAS and PAAS services. It is particularly geared towards managing containerized applications across multiple hosts, and big data type workloads. Apollo leverages other open source components to provide basic mechanisms for deployment, maintenance, and scaling of infrastructure and applications.
Founded in 2014, Asteris creates next-generation infrastructure software for the modern datacenter. Asteris writes software that makes it easy for companies to implement continuous delivery and realtime data pipelines. We support the HashiCorp stack, along with Kubernetes, Apache Mesos, Spark and Kafka. We're core committers on mantl.io, consul-cli and mesos-consul.
