Cloud computing overview & running your code on Google Cloud (Jun 2019)

Cloud computing overview &
introduction to Google Cloud
Wesley Chun
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 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

Why and Agenda
● Not enough cloud computing in engineering curriculum
● Need to prep next-generation cloud-ready workforce
● Cloud computing overview for "normalization"
● Introduction to Google Cloud
● Run your code on Google Cloud serverless
● Build with all of Google Cloud (inspiration)
● Resources and summary
Cloud computing overview
All you need to know about the cloud1

pedagogy
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
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?

About scale
● How much video uploaded to YouTube every minute? 400 hours
● Speaking of YouTube... monthly uniques? 1.9 billion
● How many links are in Google's search index? 130 trillion
● Google ever down? 500s?

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

Running Code: Compute Engine
>
Google Compute Engine
delivers configurable
virtual machines of
all shapes and sizes,
from "micro" to 160
vCPUs, 3.75 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
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

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
Storage
(where to put your data)

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

Storing Data: Cloud Datastore
Cloud Datastore: a fully-
managed NoSQL Database
Simple & integrated
Fast & highly-scalable
Easy-to-use query language
cloud.google.com/datastore
Storing Data: Firebase
Your data in a Firebase
database is stored as
JSON & synchronized in
real-time to every
connected client
firebase.google.com

Storing Data: Cloud Firestore
The best of both worlds:
the next generation of
Cloud Datastore (with
product rebrand) plus the
Firebase realtime database
cloud.google.com/firestore
Machine Learning
(analyze your data)

Storing and Analyzing Data: BigQuery
Google BigQuery: a fast, highly
scalable, cost-effective, and
fully-managed data warehouse in the
cloud for analytics with built-in
machine learning; issue SQL queries
across multi-terabytes of data
cloud.google.com/bigquery
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 Vision
Google Cloud Vision API
enables developers to extract
metadata & understand the
content of an image
cloud.google.com/vision
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

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
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

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 ML Engine
Google Cloud Machine Learning Engine
is a managed service that lets you
build, train, and deploy machine
learning models (scikit-learn,
XGBoost, Keras, TensorFlow), then make
predictions with trained models
cloud.google.com/ml-engine

G Suite
(collaborate & communicate)
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

G Suite: Google Drive
Drive API allows developers to read,
write, control permissions/sharing,
import/export files, and more!
developers.google.com/drive
G Suite: Google Calendar
Calendar API allows developers to
easily access, modify, and create
events on your users' calendars
developers.google.com/calendar

G Suite: Google Docs
Docs API gives you access to read &
write documents programmatically so
you can autogenerate them with data
integrated from various sources
developers.google.com/docs
G Suite: Google Sheets
Sheets API gives you programmatic
access to spreadsheets; has ability
to perform almost any action you
can do from the web interface
developers.google.com/sheets

G Suite: Google Slides
Slide API lets developers
programmatically create and
manage presentations
developers.google.com/slides
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 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

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

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

Try our Node.js Markdown-to-Google-Slides generator:
github.com/googlesamples/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

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
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

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

[simple API/API key sample]
Simple sentiment & classification analysis
data = {'type': 'PLAIN_TEXT', 'content': '''
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 = 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
$ python 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)

Higher-level GCP SDK & API client libraries
1. Bad news: Just showed you the "harder
way" of using Google Cloud Platform APIs
2. Good news: it's even easier with the GCP
SDK and higher-level client libraries
3. Why (not)? Not all Google APIs have high-
level client libraries. Lower-level serves as
"LCD" for accessing more Google APIs
cloud.google.com/sdk
cloud.google.com/apis/docs
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
○ 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)
SaaS
PaaS
IaaS
Serverless: PaaS-y compute/processing

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

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
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, 11
○ PHP 5.5, 7.2
○ Go 1.6, 1.8, 1.11
○ Node.js 8, 10
○ Ruby 2.5
● Rapid deployment
● Autoscaling
● Bold == 2nd generation
● BoldItal == 2nd gen, preview
Standard Runtime

Google Cloud Functions
Function-hosting in the cloud
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")

Google Cloud Functions
Deploying
● Create locally then deploy on cmd-line OR
● Edit and deploy from developer web console
Triggering (in response to events)
● HTTP — via HTTP request
● Cloud Storage — bucket object/metadata CRUD
● Cloud Pub/Sub — new message
● Firebase (DB, Storage, Analytics, Auth)
Languages
● Node.js 6, 8, 10 (JS)
● Python 3.7
● Go 1.11, 1.12
● Java 8
BOLD == preview release
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)
!=
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);
GmailApp.sendEmail('friend@example.com', 'Map',
'See below.', {attachments:[map]});
}
JS

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

● 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
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: "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

Visualize big data results
Ingest data from Sheets

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

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!
○ Help train the next generation cloud-ready workforce!
● 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, 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

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 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
"Free" … what is and what isn't?
● GCP Free Tier
○ Free Trial
■ $300 credit good for 12 months
■ Credit card required; expires
○ Always Free
■ Independent of Free Trial & education grants
■ Some GCP products free up to usage limits
■ Credit card required; no expiration; subject to change
○ cloud.google.com/free
● GCP education (teaching & research) grants
○ cloud.google.com/edu
○ (Your) credit card NOT required; expires
○ Meant to provide initial "free" usage for coursework or research
● G Suite (APIs & platforms)
○ "Free" up to usage limits
○ Covered by monthly subscription fee
○ Billing required; no expiration

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"
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

Invite me (or my team) to
your campus... it's our job!
● Faculty & grad students
● Researchers
● Undergrads
● University IT staff/CIO/CTO
● University entrepreneurship
centers/capstone project leads
Thank you! Questions?
Wesley Chun
@wescpy
Progress bars: goo.gl/69EJVw

Cloud computing overview & running your code on Google Cloud (Jun 2019)

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Cloud computing overview & running your code on Google Cloud (Jun 2019)