Social Hiring Platform for the Food and Beverage Industry

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In this episode of Running in Production, Colin McFaul goes over using Django to build a social hiring platform for the food and beverage industry. It was in development for 9 months before it went live in early 2020. It’s hosted on Heroku.

Colin talks about building 2 separate apps and keeping the web app as a monolithic app with ~42k LOC, but it’s broken up with Django apps. Elasticsearch is used to power an auto-complete search feature. Billing isn’t implemented yet but it’s currently in development with Stripe.

Topics Include

  • 3:37 – Motivation for using Django and Python
  • 5:46 – Breaking down what the 2 apps do (sales tool and the main site)
  • 10:34 – The web app is a monolithic app but it’s broken up by Django apps
  • 13:24 – There’s ~42k lines of code, and it’s mainly using server rendered templates
  • 17:43 – Elasticsearch is being used for full text search and PostgreSQL for the rest
  • 20:38 – Redis and Celery are being used for background and periodic tasks
  • 24:27 – Billing is half way implemented with Stripe
  • 27:32 – Thought process around using Heroku (2x $25 / mo Dynos) to host the site
  • 31:39 – Logging (Papertrail), metrics and error reporting (Sentry)
  • 33:52 – The deploy process from development to production (it includes Docker)
  • 36:32 – Doing a PG dump to backup the DB and user uploaded content is saved on S3
  • 38:37 – Best tips? Put in the research before implementing something
  • 43:23 – Check out
⚙️ Tech Stack
🛠 Libraries Used

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Sep 14, 2020

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