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Traefik: Dynamic Load Balancer For Containers

Traefik: Dynamic Load Balancer For Containers

With solutions like Docker and Kubernetes, containerization today is a reality in several companies - especially where the concept of microservices is used.

But working with this architecture implies a challenge that is often unknown: how to handle multiple projects where one or more containers can respond to a URL dynamically? HTTP servers like Nginx and Apache are not a trivial solution for volatile virtual hosts.

Here comes Traefik, a solution written in Golang that allows you to upload balancing between several containers without the need to update DNS / make manual hot-reload on your infrastructure running microservices with different domains.

Marcelo Pinheiro

July 18, 2017
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  1. $ whoami • Fireman / Problem Solver / Programmer since

    2000 • Ruby, Python, Golang, Java, C#, Classic ASP, PHP, Node.js, Erlang and others • Fought, made coffee, negotiated deadlines • DevOps Engineer @ Work & Co
  2. Load Balancing For Microservices • Load balancing: a technique to

    equally distribute traffic between servers (duh.) • Most popular options runs on Layer 4 or Layer 7 (OSI: Open Systems Interconnection Model) • Layer 4: operates at the intermediate transport layer (TCP/ IP) • Layer 7: operates at the high-level application layer (user namespace)
  3. Load Balancing For Microservices • L4 options: • LVM •

    L7 options: • NGINX • Apache HTTP Server • HAProxy • Most public / private clouds have their solutions inside-the-box
  4. Load Balancing For Microservices • In a microservices environment where

    one service runs in one instance as a standard and scaling is manual, L4 / L7 load balancing options are good enough • And about containers? • AWS ELB supports ECS • Microsoft Azure supports ACS (but requires DC/OS) • GCE uses GKE • OpenStack uses neutron-lbaas
  5. Traditional HTTP Servers and Containers • HAProxy, Apache HTTP Server

    and NGINX are created before of Microservices / Containers boom • Based on static vhost configuration • You need to previously know the number of upstreams to configure • But how to dynamically discover new servers / containers and discard old ones?
  6. Traditional HTTP Servers and Containers • A solution: Service Discovery

    • Automate discover of new servers / containers in a cluster • A very good explanation: https:// www.nginx.com/blog/service-discovery- in-a-microservices-architecture/ • Available options: • Consul • etcd • Apache ZooKeeper
  7. Traditional HTTP Servers and Containers • Most famous solution to

    Apache HTTPD, NGINX and HAProxy: consul-template • Uses Consul as service registry database to discover new instances / containers running • Dynamically generate vhost files and sends a SIGHUP signal to nginx / httpd daemon reload configurations and apply changes (hot-reload)
  8. Traditional HTTP Servers and Containers • It works? Yes. •

    But you need to create a Consul infrastructure • A Consul master • Pool of Consul agents • Dockerized Consul isn’t a good idea • Obviously, more one dependency
  9. Traefik: Dynamic Load Balancing For Containers • Created by Emile

    Vauge • Written in Go • Focused on microservices • HTTP/2 Support • Websockets • Let’s Encrypt • Docker, Swarm, Kubernetes, Marathon, Mesos, Consul, Etcd and others
  10. Traefik: Dynamic Load Balancing For Containers • How it works?

    • Traefik listens to backend / orchestrator API’s and detects any changes, applying it • Routes are dynamically managed • You can create / update / destroy routes at any time
  11. Traefik: Dynamic Load Balancing For Containers • How it works

    internally? • Traefik reads service metadata on Docker / Kubernetes / etcd / etc • Hosts, ports, load balancing algorithm etc • You can persist configuration using Consul, BoltDB, Amazon ECS and other backends • Let’s Encrypt integration requires a key-value storage
  12. Traefik: Dynamic Load Balancing For Containers • Traefik main concepts:

    • Entrypoints: network entry points (HTTP, HTTPS, SSL etc) • Backends: a load-balancing method to receive requests • Frontends: set of rules that maps entrypoints to backends