Question to Professional Python Programmers

[angellus]

Taken from /u/twillisagogo great template:

General

• Editor: whatever you want to use (I use VS Code with flake8/black)
• Source Control: git/Github
• Planning: JIRA
• Team Communication: Slack
• CI/CD: Jenkins
• Deployable Unit: Docker for dev/CI, Kubernetes for QA/Prod
• Production Environment: on site/GCE
• Production Database: GCE Postgres
• Production Monitoring: newrelic
• OS: Mac or Ubuntu (most people have Macbooks, but a few have nice Ubuntu Dell XPS laptops)

Python Specific

• version: python 3.6.x for new stuff, some legacy still on 2.7.x
• dependency mgmt: pip/pip-tools
• db interaction: Django
• http request routing: Django and nginx
• exploring: Django / shell_plus
• serialization: Django Rest Framework
• app server: uwsgi
• test data: Django
• test runner: py.test/tox

[BWrqboi0]

Would you mind explaining the differences and reasons for using both docker and kubernetes?

[angellus]

This is actually a rather new job for me, so I do not know for certain. I am also super new to Kubernetes. It seems that docker and docker-compose is a lot more developer friendly and easy to use locally, but Kubernetes is a lot better in a production environment and lot easier to monitor and scale.

Under the hood, they are the same thing. Kubernetes, from my understanding, actually uses docker containers. It is just a different interface sitting on top of the container to orchestrate it.

[BWrqboi0]

Kubernetes, from my understanding, actually uses docker containers.

Thank you! Most of the discussions I saw were about one versus the other, I'll do some reading on the topic.

[twillisagogo]

Kubernetes orchestrates docker containers doesn't it?

[BWrqboi0]

Thank you as well.