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advance_magento Update the repo Feb 2, 2016
kubernetes update Feb 5, 2016
mesos Update README.md Apr 1, 2016
simple_dockchat Update README.md Feb 22, 2016
swarm update Feb 5, 2016
.DS_Store updated Feb 4, 2016
README.md Update README.md Feb 22, 2016

README.md

Why we need Container Orchestration

  • We don't like pets in server farms :)
  • We want zero downtime
  • We want auto-scaling
  • We want to go across different cloud providers

Container Orchestration Options

As you could guess, it becomes difficult to choose one. So we thought of taking one Real World App and deploy it in different orchestration engines. For now we would look into Docker Swarm, Kubernetes and Mesos marathon.

What is needed to do the Container Orchestration

Multiple Nodes to be part of a cluster

Unique ID/Token to bind all the nodes in a unique cluster

Container Engines

  • Docker
  • Rkt

Single source of truth about configuration for nodes

  • Key-Value Store like etcd, consul

Network for containers of different nodes to talk to each other

  • Some form of Overlay network like VxLAN.
  • With possibility to plug different neworking solution like Calico.

One or more cluster master to manage the cluster and schedule the jobs/tasks

Scheduler to schedule the containers on nodes based on

  • Constraints, like run the container where SSD storage is available
  • Affinity

Service discovery within the cluster

  • Internal DNS server
  • Through environment variables
  • Load balancer, HA proxy

Access to external shared storage

  • Volume plugins

Examples

We are going to look at two examples :-

dockchat

This is a simple example, which I borrowed from from DockerCon EU tutorial. In that tutorial, the steps are given to orchestrate the simple chat application using Docker Swarm. Here would take that same app and deploy it using Kubernetes and Mesos.

Magento

We thought a real world e-commerce platform would be a nice and came across Magento. While doing some browsing we came across this blog post to deploy Magento2 on Tutum., which gave us good reference.

So first we would deploy Magneto on differnet orhestration engines and then experiment with features like replication, auto-scaling etc.

TDB

Credits