Thomas PEDOT slamer59

How to Properly Cache Content Hosted on Backblaze B2

Summary

Because I use Cloudflare to manage my domains and Backblaze for backups, it only made sense to take advantage of their Bandwidth Alliance for creating my own CDN. This has been incredibly helpful for image hosting for this knowledge base, however, I recently noticed that caching wasn't working as it should.

The Problem

The overall problem started when I was adding a parking page for a domain I recently purchased. The background image was hosted on B2 and the image was supposed to be cached by Cloudflare. However, each time the page loaded, it would pull the image from the origin instead of the cache. I checked this on my knowledge base and found it was doing the same thing.

Kubernetes cheatsheet

Kubernetes cheatsheet
Everything is an object - persistent entities

List all Git repository objects by size

Summary
Example

Summary

Bash script which will:

Iterate all commits made within a Git repository.

	//
	// Generate diagram legend
	//
	// 2020 David GERARD
	//
	// For a selected view, create a group named 'Legend', in which will be nested for each concepts type found in view
	// - a concept, specifically sized to show the pictogram
	// - a note, to be used to name or explain the concept specifically in the view, hence preventing to rename the concept
	// That way,
	// - a model will be a bit polluted but with a specific set of concepts, for legend purpose, prefixed so easily identifiable

	{
	"version": "2.0.0",
	"tasks": [
	{
	"label": "autoflake-remove-all-unused-imports",
	"type": "shell",
	"command": "${config:python.pythonPath}",
	"args": [
	"-m",
	"autoflake",

	import pandas as pd
	from pathlib import Path
	from functools import wraps

	def cache_pandas_result(cache_dir, hard_reset: bool):
	'''
	This decorator caches a pandas.DataFrame returning function.
	It saves the pandas.DataFrame in a parquet file in the cache_dir.
	It uses the following naming scheme for the caching files:

	# An example to get the remaining rate limit using the Github GraphQL API.

	import requests

	headers = {"Authorization": "Bearer YOUR API KEY"}


	def run_query(query): # A simple function to use requests.post to make the API call. Note the json= section.
	request = requests.post('https://api.github.com/graphql', json={'query': query}, headers=headers)
	if request.status_code == 200:

	version: '3'
	services:
	# FRONT
	chronograf:
	# Full tag list: https://hub.docker.com/r/library/chronograf/tags/
	image: chronograf
	deploy:
	replicas: 1
	placement:
	constraints: