1.
Build with all of
Google Cloud
Wesley Chun
Developer Advocate, Google
G Suite Dev Show
goo.gl/JpBQ40
About the speaker
● Developer Advocate, Google Cloud
● Mission: enable current and 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

2.
Agenda
1
Cloud computing
overview
2
Google Cloud ==
GCP + G Suite
3
REST APIs
4
Serverless
5
All of cloud
6
Wrap-up
Cloud computing overview
All you need to know about the cloud1

3.
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, 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

4.
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Outsourcing of apps (SaaS)
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
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
G Suite (Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Outsourcing of hardware (IaaS)
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

5.
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Outsourcing of logic-hosting (PaaS)
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
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
IaaS/PaaS gray area (DataB/S/P-aaS?)
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

6.
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
SaaS/PaaS gray area
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
G Suite (Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Google Apps Script, App Maker
Salesforce1/force.com
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

7.
2 Introduction to
Google Cloud
GCP and G Suite tools & APIs

8.
G Suite APIs
Top-level documentation and comprehensive developers
overview video at developers.google.com/gsuite
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

9.
Billing primer
● Service & API usage: pay-per-use
● Must exceed "Always Free" usage tier
○ … to incur billing
● Payment instrument required
○ CC, free trial, education grant
● cloud.google.com/{pricing,free}
● Monthly subscription (fee)
○ Consumer Gmail: fee = $0
○ Covers service & API usage
● Similar "always free" usage tier but
○ Fixed… cannot exceed this
quota
● gsuite.google.com/pricing.html
● developers.google.com/apps-script/
guides/services/quotas
Compute
(running code)

10.
Running Code: Compute Engine
>
Google Compute Engine
cloud
Running Code: App Engine
Google App Engine
we
>
cloud

11.
Running Code: Cloud Functions
Google Cloud Functions
cloud
firebase
Running Code: Cloud Run
Google Cloud Run
cloud

12.
Storage
(where to put your data)
Storing Data: Cloud Storage & Cloud Filestore
cloud
cloud

13.
Storing Data: Cloud SQL
cloud
Storing Data: Cloud Datastore
Cloud Datastore
NoSQL
cloud

14.
Storing Data: Firebase
Firebase
JSON
real-time
firebase
Storing Data: Cloud Firestore
Cloud
Datastore
Firebase
cloud

15.
Machine Learning
(analyze your data)
Storing and Analyzing Data: BigQuery
Google BigQuery
cloud

16.
Machine Learning: Cloud Vision & Video Intelligence
Google Cloud Vision & Video
Intelligence APIs
cloud
cloud
Machine Learning: Cloud Natural Language
Google Cloud Natural Language API
cloud

17.
Machine Learning: AutoML
AutoML:
cloud
cloud
Machine Learning: Cloud Speech
Google Cloud Speech APIs
cloud
cloud

18.
Machine Learning: Cloud ML Engine
Google Cloud Machine Learning Engine
cloud
G Suite
(collaborate & communicate)

19.
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

20.
G Suite: Google Calendar
Calendar API
access modify create
events
developers
G Suite: Google Sheets
Sheets API
developers

21.
G Suite: Google Docs & Slides
Docs & Slides APIs
developers
developers
3
Getting started with API projects
& HTTP-based REST API examples
Short Python code snippets using GCP & G Suite APIs
API key (public data) vs. OAuth2 access (private data)

22.
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

23.
● 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

24.
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)

25.
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
List (first 100) files/folders in Google Drivefrom __future__ import print_function
import os.path
import pickle
from google.auth.transport.requests import Request
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient import discovery
creds = None
SCOPES = 'https://www.googleapis.com/auth/drive.metadata.readonly'
TOKENS = 'token.p' # where to store access & refresh tokens
if os.path.exists(TOKENS):
with open(TOKENS, 'rb') as token:
creds = pickle.load(token)
if not (creds and creds.valid):
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file('client_secret.json', SCOPES)
creds = flow.run_local_server()
with open(TOKENS, 'wb') as token:
pickle.dump(creds, token)
DRIVE = discovery.build('drive', 'v3', credentials=creds)
files = DRIVE.files().list().execute().get('files', [])
for f in files:
print(f['name'], f['mimeType'])
Listing your files
goo.gl/ZIgf8k
See developers.google.com/drive/api/v3/quickstart/python

26.
Automate photo albums
OR
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

27.
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
Try our Node.js BigQuery GitHub license analyzer codelab:
g.co/codelabs/slides
Why use the Slides API?
data visualization
presentable reports

28.
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

29.
+
Mail merge
=
Mail merge (template search & replace)
requests = [
# (global) search-and-replace text
{'replaceAllText': {
'containsText': {'text': '{{TITLE}}'},
'replaceText': 'Hello World!',
}},
]
DOCS.documents().batchUpdate(body={'requests': requests},
documentId=DOC_ID, fields='').execute()
Mail merge
goo.gle/2KrPNeG

30.
Display Gmail threads (& # of messages)
# get all "busy" mail threads & display (non-blank) Subject lines
threads = GMAIL.users().threads().list(userId='me',
fields='threads').execute().get('threads', [])
for thread in threads:
tdata = GMAIL.users().threads().get(userId='me', id=thread['id'],
format='metadata', metadataHeaders=['subject'],
fields='messages/payload/headers(name,value)').execute()
if 'messages' not in tdata:
continue
if len(tdata['messages']) > 10:
msg = tdata['messages'][0]['payload']
subject = ''
for header in msg['headers']:
if header['name'] == 'Subject':
subject = header['value']
break
if subject:
print('%2d message(s) in thread: %s' % (
len(tdata['messages']), subject))
Gmail threads
goo.gl/pFYUQ2
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

31.
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

32.
labeling = VISION.images().annotate(body=body).execute().get('responses')
for labels in labeling:
if 'labelAnnotations' in labels:
print('** Labels detected (and confidence score):')
for label in labels['labelAnnotations']:
print(('%.2f%%' % (
label['score']*100.)).ljust(10), label['description'])
if 'faceAnnotations' in labels:
print('n** Facial features detected (and likelihood):')
for label, value in labels['faceAnnotations'][0].items():
if label.endswith('Likelihood'):
print(label.split('Likelihood')[0].ljust(16),
value.lower().replace('_', ' '))
Vision: image analysis & metadata extraction
$ python viz_demo.py
** Labels detected (and confidence score):
89.94% Sitting
86.09% Interior design
82.08% Furniture
81.52% Table
80.85% Room
79.04% White-collar worker
76.19% Office
68.18% Conversation
60.96% Window
60.07% Desk
** Facial features detected (and likelihood):
anger very unlikely
joy very likely
underExposed very unlikely
sorrow very unlikely
surprise very unlikely
headwear very unlikely
blurred very unlikely
Vision: image analysis & metadata extraction

33.
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.'''
print('TEXT:', TEXT)
data = {'type': 'PLAIN_TEXT', 'content': TEXT}
NL = discovery.build('language', 'v1', developerKey=API_KEY)
# sentiment analysis
sent = NL.documents().analyzeSentiment(
body={'document': data}).execute().get('documentSentiment')
print('nSENTIMENT: score (%s), magnitude (%s)' % (sent['score'], sent['magnitude']))
# content classification
print('nCATEGORIES:')
cats = NL.documents().classifyText(body={'document': data}).execute().get('categories')
for cat in cats:
print('* %s (%s)' % (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 (0.3), magnitude (0.6)
CATEGORIES:
* Internet & Telecom (0.76)
* Computers & Electronics (0.64)
* News (0.56)

34.
4
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
○ "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)

35.
Google App Engine
App-hosting in the cloud
Why does App Engine exist?

36.
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
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

37.
Google Cloud Functions
Function-hosting in the cloud
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

38.
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")
No cmd-line
access?
Use in-browser
dev environment!
● setup
● code
● deploy
● test

39.
Google Apps Script (and App Maker)
Customized JS runtime for automation, extension, and integration
with G Suite and other Google or external services
+JavaScript
-API “flavor”
+built-in
“flavor”
-OAuth2 (you)
!=

40.
Google Apps Script is a serverless
JavaScript runtime for automation,
extension, and integration with G Suite,
Google, or other external services.
“
”
Spreadsheets… any magic functions?

41.
Sure, how about GOOGLEFINANCE()?
Spreadsheets… can you code them?

42.
Sure, if you know where to look...
“Hello World!” in Apps Script

43.
Sheets-bound “Hello World!”
Apps Script intro
goo.gl/1sXeuD
Combining your code & ours

44.
But I want (to write) my own function!
Creating my own ("custom") function!
Bitcoin sample
bit.ly/2kMbH1C

45.
Woo-hoo… using my own function!
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.
● Extend functionality of G Suite editors
● Embed your app within ours!
● 2014: Google Docs, Sheets, Forms
● 2017 Q3: Google Slides
● 2017 Q4: Gmail
● 2018 Q1: Hangouts Chat bots
● Apps Script also powers App Maker,
Google Data Studio community
connectors, and Google Ads scripts
Apps Script powers add-ons… and more!
Expense
reports...
● Expense reports
● Can't we do them
without leaving Gmail?
● On Web AND mobile?

48.
● At your desk or on the road
● One place to complete
your expense report
● One code base
Gmail Add-ons
Expediting expense
reports
goo.gl/KUVCDu
● Command-line interface
● Intergrate with git plus
your local IDE/dev env.
● Actions
○ Create
○ Pull
○ Push
○ Clone
○ Deploy
○ View logs
● Built on Apps Script API
● Launched early 2018
Professional workflow with clasp tool

49.
● Low-code assistive development
environment; Cloud SQL default
● Go from idea to app in minutes
● Drag-n-drop app building
● Many pre-made template apps
● Generates Apps Script code
● Requires at least G Suite Business
Google App Maker
developers.google.com/appmaker
All of Cloud (inspiration)
Build powerful solutions with both GCP and G Suite5

50.
Custom intelligence in Gmail
Analyze G Suite data with GCP

51.
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

52.
● 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

53.
Store big data results

54.
Visualize big data results
Ingest data from Sheets

55.
Link to chart in Sheets

56.
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

57.
Hangouts Chat Productivity Tracker
Chat bot that's GCP & G Suite aware
Productivity tracker Hangouts Chat bot
G Suite GCP
Sheets Natural Language
START
or LOG
END
Hangouts
Chat
App
Engine
Cloud
SQL

58.
App summary
● Motivation
● Do coding contract jobs during school year
● Needed to track time spent on work (and non-work)
● Who doesn't want to be more productive?
● Hangouts Chat bot framework & API... build bots to:
● Automate workflows
● Query for information
● Other heavy-lifting
● G Suite app that leverages app-hosting, NL processing, and storage tools from GCP
● Application source code
● github.com/gsuitedevs/hangouts-chat-samples/tree/master/python/productivity_tracker
● Presented at GDG Silicon Valley (Aug 2018)
● meetup.com/gdg-silicon-valley/events/252858660

59.
Using Google Docs as an IDE
Running Python code in Docs w/the help of GCP
Google Docs as a Code Editor/IDE
GCP G Suite
Docs
New Roster,
New Editors
Run Code
Edit Roster
Edit Code
Cloud
Functions
Compute
Engine
Drive
Sheets
New Roster,
New Editors

60.
App summary
● Motivation
● Lead TA during school year; manage student coursework
● Needed roster app for non-engineering faculty for student coding
● Use two new products (Docs API and Python Cloud Functions)
● Implementation
● Use Drive & Sheets APIs to create student roster Sheet for professor
● Faculty completes roster in Sheet, calls Cloud Function again
● Autogenerate "Docs IDE" per student via Docs API
● Student edits code in Doc, then calls Cloud Function to run
● Read from Doc, spin-up GCE VM, run code, write results into Doc, bring down VM
● Application source code (to-be-published)
● github.com/gsuitedevs/python-samples/tree/master/docs/docs_editor

61.
6 Resources & summary
What's available for students & educators?
Session Summary
● Lots of tools with Google Cloud
○ G Suite for business applications, collaboration, communcation, productivity
○ GCP features: compute & storage, machine learning, networking, security, and more!
○ Both feature serverless platforms to simply development process
● Interoperability
○ It's a good thing
○ More choices and solutions
○ Right thing to do
● G Suite + GCP: powerful combination
○ Leverage strength of both platforms
○ Best of both worlds
● Solve challenges: your organization or your customers

62.
References
● G Suite, Google Apps Script documentation & open source repos
○ developers.google.com/gsuite
○ developers.google.com/apps-script
○ github.com/gsuitedevs
● Google Cloud Platform (GCP) documentation & open source repos
○ cloud.google.com/gcp
○ cloud.google.com/docs
○ github.com/GoogleCloudPlatform/{python,nodejs}-docs-samples
○ Know AWS? Compare w/GCP at: cloud.google.com/docs/compare/aws
● Google APIs Client Libraries (G Suite & GCP) & Google Cloud SDK (GCP-only)
○ developers.google.com/api-client-library
○ cloud.google.com/sdk
More references
● Relevant videos
○ goo.gl/RbyTFD (new Google APIs project setup)
○ goo.gl/KMfbeK (common Python OAuth2 boilerplate code review)
○ goo.gl/ZIgf8k (APIs intro codelab [Drive API])
● Relevant codelabs
○ g.co/codelabs/gsuite-apis-intro (Drive API)
○ g.co/codelabs/apps-script-intro
○ codelabs.developers.google.com/codelabs/cloud-app-engine-python
○ codelabs.developers.google.com/codelabs/cloud-starting-cloudfunctions
● Inspirational apps
○ bit.ly/2OcptaG
○ cloud.google.com/blog/products/application-development/
adding-custom-intelligence-to-gmail-with-serverless-on-gcp
○ cloud.withgoogle.com/next/sf/sessions?session=DEV212

63.
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
Thank you! Questions?
Wesley Chun
@wescpy
Progress bars: goo.gl/69EJVw