1.
Exploring Google (Cloud) APIs
and cloud computing overview
Wesley Chun
Developer Advocate, Google

2.
G Suite Dev Show
goo.gl/JpBQ40
About the speaker
Developer Advocate, Google Cloud
● Mission: enable current and future
developers everywhere to be
successful using Google Cloud and
other Google developer tools & APIs
● Videos: host of the G Suite Dev Show
on YouTube
● Blogs: developers.googleblog.com &
gsuite-developers.googleblog.com
● Twitters: @wescpy, @GoogleDevs,
@GSuiteDevs
Previous experience / background
● Software engineer & architect for 20+ years
● One of the original Yahoo!Mail engineers
● Author of bestselling "Core Python" books
(corepython.com)
● Technical trainer, teacher, instructor since
1983 (Computer Science, C, Linux, Python)
● Fellow of the Python Software Foundation
● AB (Math/CS) & CMP (Music/Piano), UC
Berkeley and MSCS, UC Santa Barbara
● Adjunct Computer Science Faculty, Foothill
College (Silicon Valley)
Why and Agenda
● Cloud has taken industry by storm (all?)
● Not enough cloud computing in higher-ed curriculum
● How Google Cloud can help with your courses/research
● Provide hands-on how to get started with Google Cloud
● Help prep next-generation cloud-ready workforce
● We do many student events; faculty/staff: "What about us?!?"
1
Cloud computing
overview
2
Google Cloud
(GCP + G Suite)
3
Serverless
platforms
4
Inspirational
Ideas
5
Summary &
wrap-up

3.
01
Introduction to
APIs
Why are you here?

4.
BUT
... wait, there’s more...

5.
The first word on Security
Authentication ("authn") vs authorization ("authz")
● authn: you are who you say you are
○ login & passwd
○ handprint authentication
○ retina scan
● authz: okay, you are who you say you are, but can you haz data?
○ OAuth2 - mostly authz, but some authn
○ Mostly about 3rd-party access to data
○ Users must give YOUR code access to THEIR data
○ Most of the time when you see "auth", it refers to authz
● Some refer to this as "consent" vs. "credentials…" which is which?
Cloud/GCP console
console.cloud.google.com
● Hub of all developer activity
● Applications == projects
○ New project for new apps
○ Projects have a billing acct
● Manage billing accounts
○ Financial instrument required
○ Personal or corporate credit cards,
Free Trial, and education grants
● Access GCP product settings
● Manage users & security
● Manage APIs in devconsole

6.
● View application statistics
● En-/disable Google APIs
● Obtain application credentials
Using Google APIs
goo.gl/RbyTFD
API manager aka Developers Console (devconsole)
console.developers.google.com
&
Google APIs client
libraries for many
languages; demos in
developers.google.com/
api-client-library

7.
SIMPLE
AUTHORIZED
Which do you choose?
OAuth2 or
API key
HTTP-based REST APIs 1
HTTP
2
Google APIs request-response workflow
● Application makes request
● Request received by service
● Process data, return response
● Results sent to application
(typical client-server model)

8.
02
Cloud
Computing &
Google Cloud
What is cloud computing?
spar

9.
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, Docker
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
Summary of responsibility
SaaS
Software as a Service
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
IaaS
Infrastructure as a Service
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
PaaS
Platform as a Service
Managed by YOU Managed by cloud vendor
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
on-prem
all you, no cloud

10.
Theme - Spec/Reqs
Logistics - Design app
Space - Provision HW
Food - Build & serve app
Manage - Manage app
on-prem
(DIY)
IaaS
(Compute Engine)
PaaS
(App Engine/GCF)
SaaS
(G Suite)
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
Imagine you’re hosting a party...
YOUR
NEXT
APP? google.com/datacenter

11.
All of Google’s technology infrastructure…
now available to you

12.
G Suite APIs
Top-level documentation and comprehensive developers
overview video at developers.google.com/gsuite

13.
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
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
Google BigQuery, Cloud SQL,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Google Cloud Platform vs. G Suite
G Suite
APIs
GCP
APIs
03
Google Cloud
APIs

14.
G Suite
Collaborate and be more productive with G Suite
G Suite: Google Drive
Drive API allows developers to read,
write, control permissions/sharing,
import/export files, and more!
developers.google.com/drive

15.
List (first 100) files/folders in Google Drive
from __future__ import print_function
from googleapiclient import discovery
from httplib2 import Http
from oauth2client import file, client, tools
SCOPES = 'https://www.googleapis.com/auth/drive.metadata.readonly'
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)

16.
Automate photo albums
OR
G Suite: Google Sheets
Sheets API gives you programmatic
access to spreadsheets; perform
(w/code) almost any action you can
do from the web interface as a user
developers.google.com/sheets

17.
Try our Node.js customized reporting tool codelab:
g.co/codelabs/sheets
Why use the Sheets API?
data visualization
customized reports
Sheets as a data source
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

18.
G Suite: Google Docs & Slides
Docs & Slides APIs give you access
to read or write documents and
presentations programmatically so
you can autogenerate them with data
integrated from various sources
developers.google.com/docs
developers.google.com/slides
Try our Node.js BigQuery GitHub license analyzer codelab:
g.co/codelabs/slides
Why use the Slides API?
data visualization
presentable reports

19.
Try our Node.js Markdown-to-Google-Slides generator:
github.com/gsuitedevs/md2googleslides
Why use the Slides API?
customized presentations
Replace text & images from template deck
requests = [
# (global) search-and-replace text
{'replaceAllText': {
'findText': '{{TITLE}}',
'replaceText': 'Hello World!',
}},
# replace text-based image placeholders (global)
{'replaceAllShapesWithImage': {
'imageUrl': IMG_URL, # link to product logo
'replaceMethod': 'CENTER_INSIDE',
'containsText': {'text': '{{LOGO}}'},
}},
]
SLIDES.presentations().batchUpdate(body={'requests': requests},
presentationId=DECK_ID, fields='').execute()
Replacing text
and images
goo.gl/o6EFwk

20.
+
Mail merge
=
G Suite: Google Calendar
Calendar API allows developers to
easily access, modify, and create
events on your users' calendars
developers.google.com/calendar

21.
Creating events in Calendar
# define event data, then create event
TIMEZONE = 'America/Los_Angeles'
EVENT = {
'summary': 'Dinner with friends',
'start': {'dateTime': '2017-06-14T19:00:00', 'timeZone': TIMEZONE},
'end': {'dateTime': '2017-06-14T22:00:00', 'timeZone': TIMEZONE},
'attendees': [
{'email': 'friend1@example.com'},
{'email': 'friend2@example.com'},
],
}
GCAL.events().insert(calendarId='primary', body=EVENT,
sendNotifications=True, fields='').execute()
Modifying and
recurring events
goo.gl/J2XkXc
Creating events
goo.gl/KuYMiq
G Suite: Gmail
Gmail API lets developers access the
power of Gmail by letting you read &
send messages, work with labels, issue
search queries, manage settings(email
sig, OoO responder), and much more!
developers.google.com/gmail

22.
GCP
Build, innovate, and scale with Google Cloud Platform
Storage
(where to put your data)

23.
Storing Data: Cloud Storage & Cloud Filestore
cloud.google.com/storage
cloud.google.com/filestore
Storing Data: Cloud SQL
SQL servers in the cloud
High-performance, fully-managed
600MB to 416GB RAM; up to 64 vCPUs
Up to 10 TB storage; 40,000 IOPS
Types:
MySQL
Postgres
SQLServer (2019)
cloud.google.com/sql

24.
Storing Data: Cloud Datastore
Cloud Datastore: a fully-
managed, highly-scalable
NoSQL database for your web
and mobile applications
cloud.google.com/datastore
Storing Data: Firebase
Firebase data is stored
as JSON & synchronized in
real-time to every
connected client; other
tools + FB == v2 mobile
development platform
firebase.google.com

25.
Storing Data: Cloud Firestore
The best of both worlds: the
next generation of Cloud
Datastore (w/product rebrand)
plus features from the
Firebase realtime database
cloud.google.com/firestore
Storing and Analyzing Data: BigQuery
Google BigQuery is a fast, highly
scalable, fully-managed data
warehouse in the cloud for
analytics with built-in machine
learning (BQML); issue SQL queries
across multi-terabytes of data
cloud.google.com/bigquery

26.
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
$ python 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

27.
04
Machine
Learning
and GCP ML APIs

28.
AI & Machine Learning
Puppy or muffin?
Machine learning is learning
from rules plus experience.

29.
GCP Machine Learning APIs
● Gain insights from data using GCP's
pre-trained machine learning models
● Leverage the same technology as
Google Translate, Photos, and Assistant
● Requires ZERO prior knowledge of ML
● If you can call an API, you can use AI/ML!
Vision Video
Intelligence
Speech
(S2T & T2S)
Natural
Language
Translation
Full Spectrum of AI & ML Offerings
App developer
Data Scientist
Data Scientist,
Researcher w/access to
infrastructure, GPUs...
Use pre-built models
Use/extend OSS SDK,
build models, manage
training infrastructure
ML Engine
Auto ML
Build custom models,
use/extend OSS SDK
ML APIs
App developer,
data scientist
Use/customize pre-built
models

30.
Machine Learning: Cloud Video Intelligence
Google Cloud Video Intelligence
API makes videos searchable, and
discoverable, by extracting
metadata. Other features: object
tracking, shot change detection,
and text detection
cloud.google.com/video-intelligence
Machine Learning: Cloud Speech
Google Cloud Speech APIs enable
developers to convert
speech-to-text and vice versa
cloud.google.com/speech
cloud.google.com/text-to-speech

31.
Machine Learning: Cloud Translation
Access Google Translate
programmatically through this
API; translate an arbitrary
string into any supported
language using state-of-the-art
Neural Machine Translation
cloud.google.com/translate
Machine Learning: Cloud Natural Language
Google Cloud Natural Language API
reveals the structure & meaning
of text; also performs content
classification and sentiment
analysis; multi-lingual
cloud.google.com/language

32.
Simple sentiment & classification analysis
from google.cloud import language
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.'''
NL = language.LanguageServiceClient()
document = language.types.Document(content=TEXT,
type=language.enums.Document.Type.PLAIN_TEXT)
sentiment = NL.analyze_sentiment(document).document_sentiment
print('TEXT:', TEXT)
print('nSENTIMENT: score (%.2f), magnitude (%.2f)' % (
sentiment.score, sentiment.magnitude))
categories = NL.classify_text(document).categories
print('nCATEGORIES:')
for cat in categories:
print('* %s (%.2f)' % (cat.name[1:], cat.confidence))
Simple sentiment & classification analysis
$ python nl_sent_simple.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 (0.30), magnitude (0.60)
CATEGORIES:
* Internet & Telecom (0.76)
* Computers & Electronics (0.64)
* News (0.56)

33.
Machine Learning: Cloud Vision
Google Cloud Vision API
enables developers to extract
metadata & understand the
content of an image
cloud.google.com/vision
from __future__ import print_function
from google.cloud import vision
image_uri = 'https://google.com/services/images/section-work-card-img_2x.jpg'
client = vision.ImageAnnotatorClient()
image = vision.types.Image()
image.source.image_uri = image_uri
response = client.label_detection(image=image)
print('** Labels detected (and confidence score):')
for label in response.label_annotations:
print(label.description, '(%.2f%%)' % (label.score*100.))
response = client.face_detection(image=image)
print('n** Facial features detected (and likelihood):')
from pprint import pprint
for label in response.face_annotations:
for likelihood in dir(label):
if likelihood.endswith('_likelihood'):
llh = str(vision.enums.Likelihood(
getattr(label, likelihood))).split('.')[1].replace('_', ' ')
print('%s: %s' % (likelihood.split('_')[0].title(), llh))
Vision: image analysis & metadata extraction

34.
$ python3 viz_demo.py
** Labels detected (and confidence score):
Sitting (89.94%)
Interior design (86.09%)
Furniture (82.08%)
Table (81.52%)
Room (80.85%)
White-collar worker (79.04%)
Office (76.19%)
Conversation (68.18%)
Photography (62.42%)
Window (60.96%)
** Facial features detected (and likelihood):
Anger: VERY UNLIKELY
Blurred: VERY UNLIKELY
Headwear: VERY UNLIKELY
Joy: VERY LIKELY
Sorrow: VERY UNLIKELY
Surprise: VERY UNLIKELY
Under: VERY UNLIKELY
Vision: image analysis & metadata extraction
Machine Learning: AutoML
AutoML: a suite of cloud APIs for
developers with limited machine
learning expertise; chooses the best
models & allows for further training
of those models for your data
(Translation, Vision, Natural Language,
Video Intelligence, Tables)
cloud.google.com/automl
cloud.google.com/automl-tables

35.
● General steps
a. Prep your training data
b. Create dataset
c. Import items into dataset
d. Create/train model
e. Evaluate/validate model
f. Make predictions
Cloud AutoML: how to use
05
Compute
VMs and serverless

36.
Running Code: Compute Engine
>
Google Compute Engine
delivers configurable
virtual machines of
all shapes and sizes,
from "micro" to 416
vCPUs, 11.75 TB RAM,
64 TB HDD or SSD disk
(Debian, CentOS, CoreOS, SUSE, Red Hat
Enterprise Linux, Ubuntu, FreeBSD;
Windows Server 2008 R2, 2012 R2, 2016)
cloud.google.com/compute

37.
>
Google Compute Engine configurable
VMs of all shapes & sizes, from
"micro" to 416 vCPUs, 11.75 TB RAM,
64 TB HDD/SSD plus Google Cloud
Storage for blobs/cloud data lake
(Debian, CentOS, CoreOS, SUSE, Red Hat Enterprise Linux,
Ubuntu, FreeBSD; Windows Server 2008 R2, 2012 R2, 2016)
cloud.google.com/compute
cloud.google.com/storage
Yeah, we got VMs & big disk… but why*?
Serverless computing: opinionated
logic-hosting containers in the cloud

38.
Serverless: what & why
● What is serverless?
○ Misnomer
○ "No worries"
○ Developers focus on writing code & solving business problems*
● Why serverless?
○ Fastest growing segment of cloud... per analyst research*:
■ $1.9B (2016) and $4.25B (2018) ⇒ $7.7B (2021) and $14.93B (2023)
○ What if you go viral? Autoscaling: your new best friend
○ What if you don't? Code not running? You're not paying.
* in USD; source:Forbes (May 2018), MarketsandMarkets™ & CB Insights (Aug 2018)
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
G Suite (Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Google BigQuery, Cloud SQL,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Serverless: PaaS-y compute/processing
Google Apps Script, App Maker
Salesforce1/force.com

39.
Running Code: App Engine
Got a great app idea? Now what?
VMs? Operating systems? Big disk?
Web servers? Load balancing?
Database servers? Autoscaling?
With Google App Engine, you don't
think about those. Just upload
your code; we do everything else.
>
cloud.google.com/appengine
Why does App Engine exist?

40.
App Engine to the rescue!!
● Focus on app not DevOps
● Enhance productivity
● Deploy globally
● Fully-managed
● Auto-scaling
● Pay-per-use
● Familiar standard runtimes
● 2nd gen std platforms
○ Python 3.7
○ Java 8, 11
○ PHP 7.2
○ Go 1.11
○ JS/Node.js 8, 10
○ Ruby 2.5
Not all apps user-facing or web-based!!
● Need backend processing? Want to build your own?
● No UI required... just need HTTP
● Optimal for user info (high scores, contacts, levels/badges, etc.)
● Better UI: move user data off phone so it's universally available

41.
Hello World (3 files: Python "MVP")
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
Deploy:
$ gcloud app deploy
Access globally:
https://PROJECT_ID.appspot.com
Open source repo at
github.com/GoogleCloudPlatform/python-docs-samples/
tree/master/appengine/standard_python37/hello_world
Running Code: Cloud Functions
Don't have an entire app? Just want
to deploy small microservices or
"RPCs" online globally? That's what
Google Cloud Functions are for!
(+Firebase version for mobile apps)
cloud.google.com/functions
firebase.google.com/products/functions

42.
Why does Cloud Functions exist?
● Don't have entire app?
○ No framework "overhead" (LAMP, MEAN...)
○ Deploy microservices
● Event-driven
○ Triggered via HTTP or background events
■ Pub/Sub, Cloud Storage, Firebase, etc.
○ Auto-scaling & highly-available; pay per use
● Flexible development environment
○ Cmd-line or developer console
● Cloud Functions for Firebase
○ Mobile app use-cases
● Available runtimes
○ JS/Node.js 6, 8, 10
○ Python 3.7
○ Go 1.11, 1.12
○ Java 8
main.py
def hello_world(request):
return 'Hello World!'
Deploy:
$ gcloud functions deploy hello --runtime python37 --trigger-http
Access globally (curl):
curl -X POST https://GCP_REGION-PROJECT_ID.cloudfunctions.net/hello
-H "Content-Type:application/json"
Access globally (browser):
GCP_REGION-PROJECT_ID.cloudfunctions.net/hello
Hello World (Python "MVP")

43.
No cmd-line
access?
Use in-browser
dev environment!
● setup
● code
● deploy
● test
Google Apps Script (and App Maker)
Customized JS runtime for automation, extension, and integration
with G Suite and other Google or external services

44.
+JavaScript
-API “flavor”
+built-in
“flavor”
-OAuth2 (you)
!=
“Hello World!” in Apps Script

45.
Sheets-bound “Hello World!”
Apps Script intro
goo.gl/1sXeuD
What can you do with this?

46.
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);
GmailApp.sendEmail('friend@example.com', 'Map',
'See below.', {attachments:[map]});
}
JS

47.
Running Code: Cloud Run
Got a containerized app? Want its
flexibility along with the convenience
of serverless that's fully-managed
plus auto-scales? Google Cloud Run is
exactly what you're looking for!
cloud.google.com/run
Code, build, deploy
.js .rb .go
.sh.py ...
● Any language, library, binary
○ HTTP port, stateless
● Bundle into container
○ Build w/Docker OR
○ Google Cloud Build
○ Image ⇒ Container Registry
● Deploy to Cloud Run (managed or GKE)
StateHTTP
https://yourservice.run.app

48.
Other Google APIs
Leverage features of other Google products
Search YouTube for videos
from __future__ import print_function
from googleapiclient import discovery
from settings import API_KEY
QUERY = 'python -snake'
trim = lambda x, ct: ('%s%s' % (x[:ct],
'...' if len(x)>ct else '')).ljust(ct+3)
print('n** Searching for %r videos...' % QUERY)
YOUTUBE = discovery.build('youtube', 'v3', developerKey=API_KEY)
res = YOUTUBE.search().list(q=QUERY, type='video',
part='id,snippet').execute().get('items', [])
for item in res:
print('http://youtu.be/%st%s' % (
trim(item['id']['videoId'], 24),
trim(item['snippet']['title'], 48)))

49.
● Not just for conversations
● Create microservice utilities
● Build chat bots to...
○ Automate workflows
○ Query for information
○ Other heavy-lifting
● Plain text or rich UI "cards"
● Very flexible ("any")
development environment
○ POST to HTTP port
Hangouts Chat bots
(bot framework & API)
"Hello World" (echo bot)
Python+Flask: GAE or other hosting
from flask import Flask, request, json
app = Flask(__name__)
@app.route('/', methods=['POST'])
def on_event():
event = request.get_json()
msg = {}
if event['type'] == 'MESSAGE':
text = 'Hi {}. You sent: {}'.format(
event['user']['displayName'], event['message']['text'])
msg = {'text': text}
return json.jsonify(msg)
Hangouts Chat bots
goo.gl/jt3FqK

50.
"Hello World" (echo bot)
JavaScript: Google Apps Script
function onMessage(m) {
return {
'text': 'Hi ' + m.sender.displayName + '. You sent: ' + m.text,
'thread': {'name': m.thread.name}
};
}
Hangouts Chat bots
goo.gl/jt3FqK
Traditional APIs vs. Bot architecture
Traditional API workflow
OAuth2
Bot architecture

51.
Other Google APIs & platforms
● Firebase (mobile development platform + RT DB)
○ firebase.google.com
● Google Data Studio (data visualization, dashboards, etc.)
○ marketingplatform.google.com/about/data-studio
● Actions on Google/Assistant/DialogFlow (voice apps)
○ developers.google.com/actions
● YouTube (Data, Analytics, and Livestreaming APIs)
○ developers.google.com/youtube
● Google Maps (Maps, Routes, and Places APIs)
○ developers.google.com/maps
● Flutter (native apps [Android, iOS, web] w/1 code base[!])
○ flutter.dev
06
All of Cloud
(inspiration)
Build powerful solutions
with both GCP and G Suite

52.
Custom intelligence in Gmail
Analyze G Suite data with GCP

53.
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

54.
● 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: "orchestrator" accessing GCP APIs
● Combine all of the above to add custom intelligence to Gmail
● Deep dive code blog post
● cloud.google.com/blog/products/application-development/
adding-custom-intelligence-to-gmail-with-serverless-on-gcp
● Application source code
● github.com/GoogleCloudPlatform/cloud-functions-gmail-nodejs
App summary
Big data analysis to slide presentation
Access GCP tools from G Suite

55.
Store big data results

56.
Visualize big data results
Ingest data from Sheets

57.
Link to chart in Sheets

58.
Supercharge G Suite with GCP
G Suite GCP
BigQuery
Apps Script
Slides Sheets
Application
request
Big data
analytics
App summary
● Leverage GCP and build the "final mile" with G Suite
● Driven by Google Apps Script
● Google BigQuery for data analysis
● 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
● Video and blog post
● bit.ly/2OcptaG
● Application source code
● github.com/googlecodelabs/bigquery-sheets-slides
● Presented at Google Cloud NEXT (Jul 2018 [DEV229] & Apr 2019 [DEV212])
● cloud.withgoogle.com/next18/sf/sessions/session/156878
● cloud.withgoogle.com/next/sf/sessions?session=DEV212

59.
07
Wrap-up
● Key GCP product code samples for students
github.com/GoogleCloudPlatform/hackathon-toolkit
● Codelabs (self-paced, hands-on tutorials): gcplab.me
● GCP documentation - cloud.google.com/{appengine,functions,vision,
language,speech,text-to-speech,translate,automl,firestore,bigquery}
● Like GCP? Wanna use it in class or your research lab? Send your profs
to cloud.google.com/edu to apply for teaching or research credits!
● Other docs
○ Firebase - firebase.google.com
○ G Suite - developers.google.com/{gsuite,drive,docs,sheets,slides}
○ Free trial (ignore) and Always Free (FYI) - cloud.google.com/free
Resources

60.
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
■ Request free credits ("tokens") at cloud.google.com/edu
● Official GCP documentation
○ cloud.google.com/gcp/getting-started
○ Recommended: Getting Started, Cloud Console, Cloud Shell, Cloud SDK, Community
● YouTube video series:
○ youtube.com/GoogleCloud
○ Recommended: Cloud Minute shorts & Cloud NEXT videos
○ G Suite Dev Show: goo.gl/JpBQ40
QwikLabs codelabs
● Codelabs == self-paced, hands-on tutorials
● "Quests" == group of codelabs arranged in a "learning path"
● No Google account ( provisioned on-the-fly)
● Apply for QwikLabs coupons at cloud.google.com/edu
○ Individual grant 200 credits … OR
○ Request 5000 credits for use in courses
● Special for attendees of this event!
○ Credits (15 credits) to complete a pair of quests:
■ GCP Essentials and one other; recommended: "Baseline" series
○ Sign up today at bit.ly/2kJL39T … link expires 2019 Dec 20

61.
Resources for Higher Education
● Education grant program
○ Teaching grants (per-course basis)
■ $50USD for students & $100USD for faculty & TAs
■ Must exceed "Always Free" daily/monthly quota to incur billing
■ Students will barely use it… average utilization: <25%
■ KEY: not giving Google your personal credit card
○ Research grants
■ Larger amounts; consider as seed funding
■ Over a longer period of time (more than a single term)
○ Apply at cloud.google.com/edu
○ Turnaround time: "within a few business days"
○ Redeem at console.cloud.google.com/edu
Career Readiness:
Associate Cloud
Engineer track
On-demand
Get free access to “Architecting
with Google Cloud Platform”
specialization on-demand on
Coursera.
(100% discount: 6 courses, 4 months access)
Self-paced labs
Get free access to “Cloud
Architecture Quest” & other
self-paced labs on Qwiklabs.
(100% discount: 10+ labs)
Google Cloud Certified
Prepare to take the exam and
earn your Associate Cloud
Engineer Certification.
(100% discount for faculty, 50% discount for
students per adherence to timelines and
other criteria)
Prepare your students for
careers in a cloud-first world.
Apply now.
See Career Readiness tab
under cloud.google.com/edu

62.
2019 | Confidential and Proprietary
2019 | Confidential and Proprietary

63.
2019 | Confidential and Proprietary
people enrolled
in the first year
of learners do not have
a college degree
completion rate
compared to other
courses on Coursera
50,000 > 1/2 2.5X
More than half of learners said the course helped
advance their careers or job search after just 4 months
More information available at grow.google/itcert
of these students are
women, minorities
and veterans
69%
IT Support Professional Certificate
Thank you! Questions?
Wesley Chun
@wescpy
Progress bars: goo.gl/69EJVw
Slides: bit.ly/2SHybQg