some tools for diagrams in software documentation
'use strict'; | |
var gulp = require('gulp'); | |
var gutil = require('gulp-util'); | |
var del = require('del'); | |
var uglify = require('gulp-uglify'); | |
var gulpif = require('gulp-if'); | |
var exec = require('child_process').exec; | |
var notify = require('gulp-notify'); |
<?PHP | |
// https://twitter.com/#!/marcoarment/status/59089853433921537 | |
date_default_timezone_set('America/Los_Angeles'); | |
// Sosumi - a PHP client for Apple's Find My iPhone web service | |
// | |
// June 20, 2010 | |
// Tyler Hall <[email protected]> | |
// http://github.com/tylerhall/sosumi/tree/master | |
// |
# Cache 10GB for 1 Month | |
proxy_cache_path /var/cache/nginx keys_zone=GS:10m inactive=720h max_size=10240m; | |
upstream gs { | |
server 'storage.googleapis.com:80'; | |
keepalive 100; | |
} | |
server { | |
set $my_domain "yourdomain.com"; |
Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs
const isWalkable = value => value !== null && typeof value !== 'undefined'; | |
const getChild = (parent, child) => (isWalkable(parent) ? parent[child] : undefined); | |
const getIn = (descendants, origin) => descendants.split('.').reduce(getChild, origin); |
Kong, Traefik, Caddy, Linkerd, Fabio, Vulcand, and Netflix Zuul seem to be the most common in microservice proxy/gateway solutions. Kubernetes Ingress is often a simple Ngnix, which is difficult to separate the popularity from other things.
This is just a picture of this link from March 2, 2019
Originally, I had included some other solution
apiVersion: extensions/v1beta1 | |
kind: Deployment | |
metadata: | |
labels: | |
app: myproject | |
name: myproject | |
namespace: default | |
spec: | |
progressDeadlineSeconds: 600 | |
replicas: 1 |