Edi Santoso repodevs

Run Docker inside Docker Ubuntu Images

The story begin when I want to install docker inside mltooling/ml-workspace-minimal images, which is based on ubuntu 18. so here how to run docker inside docker ubuntu images

docker run -d --name mltool \ 
  -p 8080:8080 \ 
  -v /root:/workspace \ 
 -v /var/run/docker.sock:/var/run/docker.sock \

Let say you have migrations like this

project/apps/accounts/migrations
├── 0001_initial.py
├── 0002_historicalprofile_historicaluser.py
├── 0003_auto_20190807_1559.py
├── 0004_auto_20190811_1013.py

Make sure all sensitive variables use one of the keywords:

API
KEY
PASS
SECRET
SIGNATURE
TOKEN

	# Install `node-prune` from https://github.com/tj/node-prune
	curl -sf https://gobinaries.com/tj/node-prune \| sh

	# Find all `node_modules` directory
	# and prune it.
	find . -name "node_modules" -type d -exec node-prune {} \;

	/**
	* @param {UUID} sourceId An ID to find.
	*
	* @returns {Object} an single object instance of Sequelize Model.
	*/
	async function getMyTableData(sourceId) {
	const sequelize = await this.hub.api('DbConnector', 'Sequelize');
	const mytable = await sequelize
	.query(`SELECT *
	FROM "my_table_name"

	# when we running script in background using `&` after we logout, the script will be killed,
	# to prevent the script being killed we can use `nohup`

	$ nohup bash -c "time python myapp.py" > myapp.log 2>&1 &

	# this command will run our script in background (even we logout from terminal session)
	# and we can still watching the log from `myapp.log`
	# e.g `tail -f myapp.log`

	# by default this is will be converted to string
	# if you want cast to octal number you need custom cast function
	FILE_UPLOAD_PERMISSIONS=0o644

	#!/bin/bash
	find -type f -not -perm 644 -exec chmod 644 {} \;