A quickly thrown together employee name recognition application to help me learn the fine folks I work with at Stack Exchange, running off of Django on Heroku.

The majority of the nitty-gritty work for the app is in staticfiles/main.js, the Django requirement was only done because I expected to need a webserver and ended up not needing it at all. You can look in quiz/views.py$get_employees_from_site to see what I was originally doing that needed a web server.

setting up a dev environment

Note: This assumes you already have Python and the Heroku Toolbelt installed. If you don't, check it out here.

1. Clone this repository
2. In the folder for this, run virtualenv venv --distribute
3. source venv/bin/activate to enter the virtualenv
4. pip install -r requirements.txt to install the requirements.
5. foreman start
6. Visit http://127.0.0.1:5000/

To set this application up on Heroku, follow the instructions in the link to them above to set up an environment, then add a git remote of this repository to your Heroku repo.

IT-specific notes about deployment

What builds do

• stack-quiz is auto-built in teamcity,
• teamcity dev build will put an instance up at http://[ny,co]-itapp[01,02]:10312 to check out
• if everything's good with dev instance, manually trigger prod in teamcity
• teamcity prod build runs a kubectl rolling-update on the resource controller.

How it is setup in Google Container Engine (GKE)

• there are 8 docker containers running at any given time
• a replication controller handles the proper scheduling of containers
  • to make the controller, kubectl create -f gke/quiz-rc.json
• the site is then exposed to the internet via a load balancer
  • gkg expose rc stackquiz-prod --port=80 --target-port=8000 --type="LoadBalancer"
  • make sure to set IP to static in google console or ip might change
  • DNS entry is quiz.stackex.com