Intro to cloud computing & running your code on Google Cloud

Introduction to cloud computing &
Running code on Google Cloud
Wesley Chun
Sr. Developer Advocate, Google
Adjunct CS Faculty, Foothill College
G Suite Dev Show
goo.gl/JpBQ40
About the speaker
● Developer Advocate, Google Cloud
● Mission: enable current & future developers to be successful using
Google Cloud and other Google developer tools, APIs, and platforms
● Videos: host of the G Suite Dev Show on YouTube
● Blogs: developers.googleblog.com &
gsuite-developers.googleblog.com
● Twitters: @wescpy, @GCPcloud, @GoogleDevs, @GSuiteDevs
● Background
● Software engineer & architect for 20+ years
● One of the original Yahoo!Mail engineers
● Author of bestselling "Core Python" books (corepython.com)
● Teacher and technical instructor since 1983 (all ages)
● Fellow of the Python Software Foundation
● AB Mathematics & CMP Music, UC Berkeley; MSCS UC Santa Barbara

Agenda and Why
● Not enough cloud computing in engineering curriculum
● Need to prep next-generation cloud-ready workforce
● Introduction to cloud computing
● Introduction to Google Cloud
● Run your code on Google Cloud serverless
● Build with all of Google Cloud (inspiration)
● Resources and summary
Introduction to cloud
computing
All you need to know about the cloud
1

What is Cloud Computing?
spar
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Cloud service levels/"pillars"
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Google BigQuery, Cloud SQL,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL Database
Google Apps Script, App Maker
Salesforce1/force.com
G Suite (Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda

Outsourcing of apps (SaaS)
SaaS
PaaS
IaaS
Outsourcing of hardware (IaaS)
SaaS
PaaS
IaaS

Outsourcing of logic-hosting (PaaS)
SaaS
PaaS
IaaS
IaaS/PaaS gray area (DataB/S/P-aaS?)
SaaS
PaaS
IaaS

SaaS/PaaS gray area
SaaS
PaaS
IaaS
Summary of responsibility
SaaS
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
IaaS
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
PaaS
Managed by YOU Managed by cloud vendor
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
on-prem
all you, no cloud

Imagine you’re hosting a party...
Photo by Annie Spratt on Unsplash
On-Prem
(DIY)
IaaS
(Compute Engine)
PaaS
(App Engine)
SaaS
(Cloud Functions)
Pick theme
Plan party
Find space
Cook
On call
Pick theme
Plan party
Rent hall
Cook
On call
Pick theme
Plan party
Rent hall
Hire Caterer
Hire manager
Pick theme
Hire planner
Rent hall
Hire caterer
Hire manager
Theme -
Logistics -
Space -
Food -
Manage -
Spec/Reqs
Design app
Provision HW
Build & Serve app
Manage app
IaaS++
(Cloud Launcher)
Pick theme
Plan party
Rent hall
Hire Caterer
On call

2 Introduction to
Google Cloud
GCP and G Suite
YOUR
NEXT
APP?

About scale
● How much video uploaded to YouTube every minute?
● Speaking of YouTube... monthly uniques?
● How many links are in Google's search index?

SaaS
PaaS
IaaS
Google Cloud Platform vs. G Suite
G Suite
APIs
GCP
APIs
Compute
(running code)

Running Code: Compute Engine
>
Google Compute Engine
cloud
Running Code: App Engine
Google App Engine
we
>
cloud

Running Code: Cloud Functions
Google Cloud Functions
cloud
Storage
(where to put your data)

Storing Data: Cloud Storage
cloud
Storing Data: Cloud SQL
cloud

Storing Data: Cloud Datastore
Cloud Datastore
NoSQL
cloud
Storing Data: Firebase
Firebase
JSON
real-time
firebase

Storing Data: Cloud Firestore
Cloud Datastore
Firebase
cloud
Machine Learning
(analyze your data)

Storing and Analyzing Data: BigQuery
Google BigQuery
cloud
Machine Learning: Cloud Vision
Google Cloud Vision
cloud

Machine Learning: Cloud Speech
Google Cloud Speech
cloud
Machine Learning: Cloud Natural Language
Google Cloud Natural Language
cloud

Machine Learning: Cloud Video Intelligence
Google Cloud Video Intelligence
cloud
Machine Learning: AutoML
AutoML:
cloud

G Suite
(collaborate & communicate)
G Suite: Gmail
Gmail API
read &
send messages labels
search manage settings
developers

G Suite: Google Drive
Drive API read
write permissions/sharing
import/export
developers
G Suite: Google Calendar
Calendar API
access modify create
events
developers

G Suite: Google Sheets
Sheets API
developers
G Suite: Google Slides
Slide API
create
manage
developers

What about Google Classroom?
● Originally announced May 2014
● LMS integrated with G Suite (Google Docs, Sheets, Slides, etc.)
● Helps teachers manage coursework, create classes, distribute
assignments, grade & send feedback, manage students &
guardians, manage discussion forums, give & grade quizzes
● Suitable for higher ed; more likely to be used in K-12
○ Higher ed generally already using dedicated LMS
● Resources
○ edu.google.com/products/classroom
○ blog.google/outreach-initiatives/education/previewing-new-classroom
○ developers.google.com/classroom
○ developers.google.com/apps-script/advanced/classroom
What about Google Course Kit?
● Originally announced Jul 2018
● More suitable in higher ed due to dedicated LMS
● Integrate your LMS with G Suite (Google Docs, Sheets, Slides, etc.)
○ Blackboard, Canvas, Moodle, Sakai supported
○ Integrate w/your LMS at no cost
○ Compliant with Learning Tools Interoperability (LTI) standard
● Create assignments & manage coursework from within your LMS
● Built-in grading tool; manage feedback in one central place
● Resources
○ edu.google.com/products/course-kit
○ blog.google/outreach-initiatives/education/introducing-course-kit-
new-ways-collaborate-g-suite-your-lms-designed-higher-ed
○ support.google.com/edu/coursekit/answer/9069054
○ support.google.com/edu/coursekit/answer/9069147

REST API examples
Short Python code snippets using GCP & G Suite APIs
API key (public data) vs. OAuth2 access (private data)
List (first 100) files/folders in Google Drive
from __future__ import print_function
from apiclient import discovery
from httplib2 import Http
from oauth2client import file, client, tools
SCOPES = 'https://www.googleapis.com/auth/drive.readonly.metadata'
store = file.Storage('storage.json')
creds = store.get()
if not creds or creds.invalid:
flow = client.flow_from_clientsecrets('client_secret.json', SCOPES)
creds = tools.run_flow(flow, store)
DRIVE = discovery.build('drive', 'v3', http=creds.authorize(Http()))
files = DRIVE.files().list().execute().get('files', [])
for f in files:
print(f['name'], f['mimeType'])
Listing your files
goo.gl/ZIgf8k

Back up your file archives
Write your own or see github.com/gsuitedevs/drive-zipextractor (JS)
Automate photo albums
OR

Import/Export: Customized reports, “database,” or both!
Try our Node.js customized reporting tool codelab:
g.co/codelabs/sheets
Migrate SQL data to a Sheet
# read SQL data then create new spreadsheet & add rows into it
FIELDS = ('ID', 'Customer Name', 'Product Code',
'Units Ordered', 'Unit Price', 'Status')
cxn = sqlite3.connect('db.sqlite')
cur = cxn.cursor()
rows = cur.execute('SELECT * FROM orders').fetchall()
cxn.close()
rows.insert(0, FIELDS)
DATA = {'properties': {'title': 'Customer orders'}}
SHEET_ID = SHEETS.spreadsheets().create(body=DATA,
fields='spreadsheetId').execute().get('spreadsheetId')
SHEETS.spreadsheets().values().update(spreadsheetId=SHEET_ID, range='A1',
body={'values': rows}, valueInputOption='RAW').execute()
Migrate SQL
data to Sheets
goo.gl/N1RPwC

BigQuery: querying Shakespeare words
TITLE = "The top 10 most common words in all of Shakespeare's works"
QUERY = '''
SELECT LOWER(word) AS word, sum(word_count) AS count
FROM [bigquery-public-data:samples.shakespeare]
GROUP BY word ORDER BY count DESC LIMIT 10
'''
rsp = BQ.query(body={'query': QUERY}, projectId=PROJ_ID).execute()
print('n*** Results for %r:n' % TITLE)
for col in rsp['schema']['fields']: # HEADERS
print(col['name'].upper(), end='t')
print()
for row in rsp['rows']: # DATA
for col in row['f']:
print(col['v'], end='t')
print()
Top 10 most common Shakespeare words
$ python3 bq_shake.py
*** Results for "The most common words in all of Shakespeare's works":
WORD COUNT
the 29801
and 27529
i 21029
to 20957
of 18514
a 15370
you 14010
my 12936
in 11722
that 11519

[simple API/API key sample]
Simple sentiment & classification analysis
text = '''
Google, headquartered in Mountain View, unveiled the new Android
phone at the Consumer Electronics Show. Sundar Pichai said in
his keynote that users love their new Android phones.'''
data = {'type': 'PLAIN_TEXT', 'content': text}
NL = discovery.build('language', 'v1', developerKey=API_KEY)
sentiment = NL.documents().analyzeSentiment(
body={'document': data}).execute().get('documentSentiment')
print('TEXT:', text)
print('nSENTIMENT: score (%s), magnitude (%s)' % (
sentiment['score'], sentiment['magnitude']))
print('nCATEGORIES:')
categories = NL.documents().classifyText(
body={'document': data}).execute().get('categories')
for c in categories:
print ('* %s (%s)' % (c['name'][1:], c['confidence']))
PY
Sentiment & classification analysis output
$ python3 nl_sent_class.py
TEXT: Google, headquartered in Mountain View, unveiled the new Android
phone at the Consumer Electronics Show. Sundar Pichai said in
his keynote that users love their new Android phones.
SENTIMENT: score (0.3), magnitude (0.6)
CATEGORIES:
* Internet & Telecom (0.76)
* Computers & Electronics (0.64)
* News (0.56)

3
Run your code on
Google Cloud serverless
GCP: Google App Engine , Google Cloud Functions
G Suite: Google Apps Script , Google App Maker
Serverless: what & why
● What is serverless?
○ Misnomer: of course there's a server somewhere
○ You just don't have to worry about it!
○ Forbes (May 2018): Serverless... [helps] developers focus on writing code without having to
worry about infrastructure... servers (physical & virtual) completely abstracted away from the
user. [Developers] ... focused on solving business problems (e.g., faster app deployment)
● Why serverless?
○ Fastest growing segment of cloud... per 2 analysts*:
■ $1.9B (2016) and $4.25B (2018) ⇒ $7.7B (2021) and $14.93B (2023)
○ Unless focused on DevOps... VMs, networking, load balancing, web servers,
database servers, frontends/proxies, etc. less relevant for app-builders
○ What if you go viral? Autoscaling: your new best friend
○ What if you don't? Code not running? You're not paying. (No VMs to shutdown.)
* in USD; source: MarketsandMarkets™ & CB Insights (Aug 2018)

SaaS
PaaS
IaaS
Serverless: PaaS-y compute/processing
Google App Engine
App-hosting in the cloud

Languages supported
Languages
● Python 2.7 & 3.6
● Node.js
● Ruby
● Java 8 / Servlet 3.1
● Jetty 9
● PHP 5.6, 7
● Go 1.8, 1.9, 1.10
● C#/.NET
● custom
Open Capabilities
Flexible Runtime
Languages
● Python 2.7, 3.7
● Java 7, 8
● PHP 5.5, 7.2
● Go 1.6, 1.8, 1.11
● Node.js 8
"Constrained" Capabilities
Incredibly rapid scale
Bold == 2nd generation
Standard Runtime
Why does App Engine exist?

Hello World (3 files)
app.yaml
runtime: python37
main.py
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello():
return 'Hello World!'
requirements.txt
Flask==1.0.2
App hosting plus a domain name!
$ gcloud app deploy
browser URL:
https://APP_ID.appspot.com
Ex: https://wescpy-apitest.appspot.com
Function-hosting in the cloud

Languages Supported
● Node.js 6, 8 (JavaScript)
● Python 3.7
Deploying Cloud Functions
● Create locally then deploy on cmd-line OR
● Edit and deploy from developer web console
Triggering Cloud Functions (response to events)
● HTTP — via HTTP request
● Cloud Storage — bucket object/metadata CRUD
● Cloud Pub/Sub — new message
● Firebase (DB, Storage, Analytics, Auth)
"Hello World" Python Cloud Function
main.py
def hello_world(request):
return 'Hello World!'
$ gcloud functions deploy hello --runtime python37 --trigger-http
cmd-line (curl):
curl -X POST https://[GCP_REGION]-[PROJECT_ID].cloudfunctions.net/hello
-H "Content-Type:application/json" --data '{"value": "123"}'
browser URL:
http://[GCP_REGION]-[PROJECT_ID].cloudfunctions.net/hello?value=123
Ex: https://us-central1-myproject-ccsc.cloudfunctions.net/hello

Google Apps Script (and App Maker)
Customized JS runtime for G Suite automation, extension, and integration
Sheets-bound “Hello World!”

Apps Script intro
goo.gl/1sXeuD
Sheets-bound “Hello World!”
What can you do with this?

Accessing maps from
spreadsheets?!?
goo.gl/oAzBN9
This… with help from Google Maps & Gmail
function sendMap() {
var sheet = SpreadsheetApp.getActiveSheet();
var address = sheet.getRange("A2").getValue();
var map = Maps.newStaticMap().addMarker(address);
MailApp.sendEmail(EMAIL, "Map", map.getMapUrl());
}
JS

Generating Google Slides from images
var NAME = "My favorite images";
var deck = SlidesApp.getActivePresentation();
function addImageSlide(link, index) {
var slide = deck.appendSlide(SlidesApp.PredefinedLayout.BLANK);
var image = slide.insertImage(link);
}
function main() {
var images = [
"http://www.google.com/services/images/phone-animation-results_2x.png",
"http://www.google.com/services/images/section-work-card-img_2x.jpg",
"http://gsuite.google.com/img/icons/product-lockup.png",
"http://gsuite.google.com/img/home-hero_2x.jpg",
];
var [title, subtitle] = deck.getSlides()[0].getPageElements();
title.asShape().getText().setText(NAME);
subtitle.asShape().getText().setText("Google Apps ScriptnSlides Service demo");
images.forEach(addImageSlide);
}
Introducing
Slides Add-ons
goo.gl/sYL5AM
Generating Google Slides from images

Gmail
Add-ons
● Expense reports
● Can't we do them
without leaving Gmail?
● On Web AND mobile?
● Expense report app
● Process in Gmail…
● One place to do your
expense report
Gmail Add-ons
Expediting expense
reports
goo.gl/KUVCDu

● Not just for conversations
● Create microservice utilities
● Build chat bots to...
○ Automate workflows
○ Query for information
○ Other heavy-lifting
Hangouts Chat bots
(bot framework and API)
function onMessage(e) {
return createMessage(e.user.displayName, 0);
}
function onCardClick(e) {
// Create a new vote card when 'NEW' button is clicked.
if (e.action.actionMethodName === 'newvote') {
return createMessage(e.user.displayName, 0);
}
// Updates the card in-place when '+1' or '-1' button is clicked.
var voteCount = +e.action.parameters[0].value;
e.action.actionMethodName === 'upvote' ? ++voteCount : --voteCount;
return createMessage(e.user.displayName, voteCount, true);
}
Simple vote bot
Hangouts Chat bots
goo.gl/jt3FqK

● Low-code assistive
development
environment
● Go from idea to app
in minutes
● Drag-n-drop
app building
● Generates Apps
Script code
Google App Maker
developers.google.com/appmaker
4
All of Cloud
(inspiration)
Build with both GCP tools and G Suite

Custom intelligence in Gmail
Analyze G Suite data with GCP

Gmail message processing with GCP
Gmail
Cloud
Pub/Sub
Cloud
Functions
Cloud
Vision
G Suite GCP
Star
message
Message
notification
Trigger
function
Extract
images
Categorize
images
Inbox augmented with Cloud Function

● Gmail API: sets up notification forwarding to Cloud Pub/Sub
● developers.google.com/gmail/api/guides/push
● Pub/Sub triggers logic hosted by Cloud Functions
● cloud.google.com/functions/docs/calling/pubsub
● Cloud Functions: serverless access to GCP APIs
● Combine above to add custom intelligence to Gmail
● Application source code
● github.com/GoogleCloudPlatform/cloud-functions-gmail-nodejs
● Presented at Google Cloud NEXT (Jul 2018)
● cloud.withgoogle.com/next18/sf/sessions/session/156878
App summary
Big data analysis to slide presentation
Access GCP tools from G Suite

Visualise big data results
Make it all presentable

Ingest data from Sheets
Link to chart in Sheets

Supercharge G Suite with GCP
G Suite GCP
BigQuery
Apps Script
Slides Sheets
Application
request
Big data
analytics

App summary
● Leverage GCP from the G Suite world
● Google BigQuery for data analysis
● Build the final mile with G Suite
● Driven by Google Apps Script
● Google Sheets for visualization
● Google Slides for presentable results
● "Glued" together w/G Suite serverless
● Build this app (codelab)
● g.co/codelabs/bigquery-sheets-slides
● Application source code
● github.com/googlecodelabs/bigquery-sheets-slides
● Presented at Google Cloud NEXT (Jul 2018)
● cloud.withgoogle.com/next18/sf/sessions/session/156878
Online resources & summary
What's available for students & educators?5

Session Summary
● Why go cloud?
○ Cloud computing has taken the world by storm
○ You're behind if you're not already using it… it's not too late!
● Google Cloud and why serverless?
○ Many features: compute, storage, AI/ML, NW, data processing, etc.
○ Serverless lets users focus on just their logic (apps or functions)
○ Interesting possibilities using both platforms (GCP + G Suite)
References
● G Suite and Google Apps Script documentation
○ developers.google.com/gsuite
○ developers.google.com/apps-script
● GCP docs source code (i.e., App Engine & Cloud Functions quickstarts)
○ github.com/GoogleCloudPlatform/python-docs-samples
○ github.com/GoogleCloudPlatform/nodejs-docs-samples
● Inspirational demo apps' resources
○ cloud.withgoogle.com/next18/sf/sessions/session/156878
○ cloud.google.com/blog/products/application-development/
adding-custom-intelligence-to-gmail-with-serverless-on-gcp
○ bit.ly/2OcptaG

Learning resources
● Codelabs: self-paced hands-on tutorials
○ Google codelabs: need a Gmail account, always free
■ g.co/codelabs/cloud
○ Qwiklabs codelabs: don't need a Gmail acct; typically not free
■ google.qwiklabs.com
■ Individuals can request 200 more credits; 5000 credits for use in courses
● Official GCP docs: cloud.google.com
○ Recommended: Getting Started, Cloud Console, Cloud Shell, Cloud SDK, GCP
Free Tier (need a credit card), Community
● YouTube video series: youtube.com/GoogleCloud
○ Recommended: Cloud Minute shorts & Cloud NEXT videos
○ G Suite Dev Show: goo.gl/JpBQ40
Thank you!
Questions?
Wesley Chun
@wescpy

Intro to cloud computing & running your code on Google Cloud

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