akhileshdarjee

To manually dump the database you can run the following one-liner code

mysqldump -u[user] -p[pass] [db] > [file_path]

But what if you want to automate the process, here are the steps:

1. Setup cron entry to your server
* * * * * php /path-to-your-project/artisan schedule:run >> /dev/null 2>&1

2. Create a command BackupDatabase by running the following code:

syntaqx

#cloud-config

# Option 1 - Full installation using cURL
package_update: true
package_upgrade: true

groups:
  - docker

system_info:

bmaupin

See also:

• Free backend hosting
• https://free-for.dev/#/?id=dbaas

Service	Type	Storage	Limitations
Amazon DynamoDB	⚠️ Proprietary NoSQL	25 GB	⚠️ Payment method required
Amazon RDS	⚠️ Proprietary RDBMS		⚠️ Only free for 1 year
Azure SQL Database	MS SQL Server		⚠️ Only free for 1 year
👉 Clever Cloud	PostgreSQL, MySQL, MongoDB, Redis	256 MB (PostgreSQL)	Max 5 connections (PostgreSQL)

greeflas

#!/bin/bash

set -e

if [ -d ~/.local/share/JetBrains/Toolbox ]; then
    echo "JetBrains Toolbox is already installed!"
    exit 0
fi

echo "Start installation..."

npearce

UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.

Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/

Docker CE Install

sudo amazon-linux-extras install docker
sudo service docker start

gpjt

# There's a lack of sample code for acme/Let's Encrypt out there, and
# this is an attempt to at least slightly remedy that.  It's the result
# of my first day's hacking on this stuff, so almost certainly contains
# errors and oversights.
#
# It's not designed to be specifically useful if what you want is 
# just a cert -- certbot or dehydrated are better for that.  It is sample
# code for people who are building automated systems to deal with large 
# numbers of Let's Encrypt certificates to play with.
# 

souporserious

import request from 'request'

const api_endpoint = 'https://api.figma.com/v1'
const personal_access_token = 'FIGMA_ACCESS_TOKEN_HERE' // https://www.figma.com/developers/docs#auth-dev-token

function downloadSvgFromAWS(url) {
  return new Promise((resolve, reject) => {
    request.get(
      url,
      {

jun06t

package main

import (
	"encoding/json"
	"fmt"
	"net/http"
	"time"

	"github.com/hashicorp/vault/api"
	"github.com/hashicorp/vault/builtin/credential/aws"

EduardoSaverin

import React from 'react';
import { Paper, withStyles, Grid, TextField, Button, FormControlLabel, Checkbox } from '@material-ui/core';
import { Face, Fingerprint } from '@material-ui/icons'
const styles = theme => ({
    margin: {
        margin: theme.spacing.unit * 2,
    },
    padding: {
        padding: theme.spacing.unit
    }

MetalArend

version: '3.4'

secrets:

  # Find your registration token at: "Your project" > "Settings" > "CI/CD" > "Runners settings" > "Specific Runners" (look for registration token)
  # Register it as `GITLAB_REGISTRATION_TOKEN`: `docker secret create GITLAB_REGISTRATION_TOKEN YOUR_REGISTRATION_TOKEN`
  GITLAB_REGISTRATION_TOKEN:
    external: true
  # Find your personal access token at: "Your user account" > "Settings" > "Access Tokens" > "Create personal access token" (for api)
  # Register it as `GITLAB_PERSONAL_ACCESS_TOKEN`: `docker secret create GITLAB_PERSONAL_ACCESS_TOKEN <YOUR ACCESS TOKEN>`