vmlellis / kubernetes-rails

a demo repo using Kubernetes to deploy a rails/nginx pod to GCE

Kubernetes-Rails

NOTE This is not production ready. The env is set to "production" as a proof of concept to show the asset pipeline is working in prod.

This project is a working example of building a rails app using Docker, and deploying using Kubernetes to GCE. Each Pod consists of an NGINX and Rails container (running unicorn). This allows NGINX to host static files using an emptyDir volume instead of a a more persistent volume.

Run locally

1. docker-machine create --driver virtualbox --virtualbox-disk-size "30000" --virtualbox-memory "8096" kubernetes-rails
2. docker-machine start kubernetes-rails
3. eval "$(docker-machine env kubernetes-rails)"
4. docker-compose build && docker-compose up -d
5. docker-compose run --rm web rake db:create

Build images

You will need to change foxio-rnd to your GCE project name.

1. docker build -t gcr.io/foxio-rnd/rails-image:v1 web/.
2. gcloud docker push gcr.io/foxio-rnd/rails-image:v1 Note pushing can take a long time and use a lot of bandwidth. This actually times out sometimes. Just run it again if it does that.
3. docker build -t gcr.io/foxio-rnd/nginx-image:v1 nginx/.
4. gcloud docker push gcr.io/foxio-rnd/nginx-image:v1

GCE deploy

1. gcloud container clusters create kubernetes-rails --num-nodes 2 --machine-type g1-small
2. kubectl run db --image=postgres --port=5432
3. kubectl expose rc db
4. Update kubernetes/web-controller.yaml to use your GCE project name instead of foxio-rnd
5. kubectl create -f kubernetes/web-controller.yaml
6. Using kubectl get pods wait for the 2 pods to change to Running. This can take a few minutes.
7. kubectl create -f kubernetes/web-service.json

DB Setup

1. kubectl get pods
2. kubectl exec -it [pod id] -c web bash
3. run rake db:create and rake db:migrate

Teardown

1. gcloud container clusters delete kubernetes-rails
2. Manually delete the Load balancer from the Network -> Network load balancer

TODO

1. automate the DB setup
2. setup DB cluster
3. Setup to run Kubernetes locally