{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The latest trend in DevOps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": "/9j/4AAQSkZJRgABAQAAZABkAAD/4QCMRXhpZgAATU0AKgAAAAgABQESAAMAAAABAAEAAAEaAAUA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\noAaSaMmkNFUB/9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image('containerized_deployments.jpeg', embed=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
