Brightpath Is a Formative School Assessment Tool
Running in Production
English - November 23, 2020 05:00 - 1 hour - 60.4 MB - ★★★★★ - 8 ratingsTechnology News Tech News deployment elixir flask hosting node rubyonrails phoenix production python techstacks Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Kye Russell talks us through a school assessment tool built with Django and Python. It's running on AWS.
In this episode of Running in Production, Kye Russell goes over running a
formative school assessment tool for 800+ schools in Australia. It’s built with
Django and it’s been running in production since 2017 on AWS.
Kye is the solo developer on the project. It’s a monolith split across 10+
Django apps. They’ve gone all-in with a bunch of AWS services and Kye sticks to
a number of best practices such as having tests, linting and using services to
help keep things running smoothly.
Topics Include
7:04 – Motivation to rewrite the app in Django and Python
9:24 – The Django admin and having a monolith split into 10-15 Django apps
14:59 – About 50k lines of Python code, 10k of Django templates and 10k of JS
20:38 – Interesting Python / Django libraries used in the project
28:35 – Postgres as a main SQL DB and Redis for caching + SQS & Celery for bg jobs
32:24 – Docker is being used in development, nginx + uwsgi is being used too
35:24 – Going all-in with AWS for hosting and ISO 27001 compliance
45:35 – Dealing with a massive amount of user uploads, virus scanning, etc.
48:58 – Linting the code base with Black
50:28 – Deploying code with Fabric, the Python AWS SDK and baking AMIs
55:36 – Database backups, S3 is super reliable and CloudWatch alarms
59:40 – Using Sentry for error reporting and APM solutions
1:03:06 – Best tips? Use boring technology whenever you possibly can
1:05:15 – Kye has a site with 1 blog post and he’s also on Twitter
Links
📄 References
https://aws.amazon.com/compliance/iso-27001-faqs/
https://en.wikipedia.org/wiki/Application_performance_management
⚙️ Tech Stack
django →
python →
aws →
backbone →
cloudformation →
cloudfront →
cloudwatch →
docker →
nginx →
postgres →
rds →
redis →
route53 →
s3 →
sentry →
ses →
sns →
sqs →
ubuntu →
webpack →
🛠 Libraries Used
https://github.com/pandas-dev/pandas
https://github.com/numpy/numpy
https://github.com/BetterWorks/django-impersonate
https://github.com/encode/django-rest-framework
https://bridgekeeper.leigh.party/
https://github.com/celery/celery
https://github.com/unbit/uwsgi
https://github.com/psf/black/
https://www.fabfile.org/
Support the Show
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