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Deploying a Frontend Application with Dynamic Environment Variables Using Docker, Kubernetes, and Nginx

This guide demonstrates how to deploy a frontend application using Docker and Kubernetes (k8s) with dynamic environment variables that can change across different namespaces. We will use Nginx as a web server to serve the frontend static files.

1. Create a Dockerfile

Create a Dockerfile for your frontend project:

# Use a Node.js base image
FROM node:14 AS build

	#!/usr/bin/env python3
	"""
	Joplin Note Creator

	A command line tool to create notes in Joplin. Features:
	- Create notes from stdin or clipboard
	- Specify note title
	- Create notes in specific folders (supports partial folder name matching)

	Usage:

	# serve your offline website static files retrieved by:
	# wget --mirror --convert-links --adjust-extension --page-requisites --no-parent
	# usage:
	# python3 wgetserver.py [-p 8080]

	import http.server
	import os
	import argparse

	class CustomHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):

	# Requires Python 3.12+, IPython, rich

	import datetime
	import hashlib
	import importlib
	import inspect
	import json
	import logging
	import os
	import pkgutil

	# requires:
	# pip install openpyxl repro-zipfile

	from pathlib import Path
	import openpyxl
	from repro_zipfile import ReproducibleZipFile


	def save_reproducible_excel(path: Path, workbook: openpyxl.Workbook) -> None:
	"""save a reproducible/deterministic excel file

	# Derived from Piotr Maliński's example with a few modifications to use logging and :
	# http://www.rkblog.rk.edu.pl/w/p/profiling-django-object-size-and-memory-usage-pympler/
	import logging
	import os

	from django.conf import settings
	from pympler import muppy
	from pympler.asizeof import asizeof
	from pympler.muppy import summary

	import struct
	import os


	BLOCK_SIZE = 65536
	MIN_SIZE = BLOCK_SIZE * 2

	# based on https://trac.opensubtitles.org/projects/opensubtitles/wiki/HashSourceCodes#Python
	def osdb_hash(filename, filesize=0):
	try:

	import csv
	import io
	import logging

	import openpyxl

	logger = logging.getLogger("excel")


	def excel_to_csv(path):

	import openpyxl
	import csv
	import sys

	input = sys.argv[1]
	output = sys.argv[2]
	print(f'{input} ==> {output}')

	wb = load_workbook(input)
	sh = wb.active