The document outlines Google Cloud's advanced infrastructure designed to help businesses become more data-driven and agile in the face of growing challenges. It highlights features like cost-effective pricing, enhanced security, and capabilities for machine learning, analytics, and app development. Customer success stories demonstrate how Google Cloud has facilitated improved collaboration and operational efficiency for various companies.

1. Building What's Next with Google
Cloud's Powerful Infrastructure

2. Welcome Note
Build what’s next on Google Cloud
Why should you choose Google Cloud Platform
Storage, Archiving and Analytics on Google Cloud
Agenda
Data Security on Google Cloud Platform
Customer Success Stories

3. Introduction to Google Cloud

4. Companies are facing increasing challenges
Be more data driven, but
on-prem data is hard to
access, analyze, and use
Security threats keep
growing
Have to focus to stay
ahead of competition, can’t
afford wasted efforts
Be more agile - turn IT into
competitive advantage
Attract and retain
customers and employees
with great experiences

5. Google is focused on helping
companies meet those
challenges

6. For the past 16 years,
Google has been building the world’s fastest,
most powerful cloud infrastructure
on the planet.

8. View the entire list at
cloud.google.com/launcher
Google Cloud Platform
Management Compute Storage Networking Data
Machine
Learning
Launcher
Support
Machine Learning
Engine
SPEECH API
VISION API
TRANSLATE API
Stackdriver
Identity &
Access
Management
Compute Engine
Preemptible VMs
Custom Machine
Types
App Engine
Container Engine
Cloud Storage
Nearline
Cloud SQL
Cloud
Datastore
Cloud
Bigtable
Virtual
Private Cloud
Load Balancing
CDN
Interconnect
DNS
BigQuery
Dataflow
Dataproc
Datalab
Pub/Sub

9. Why Google Cloud?

10. Scale - Effortless
Scaling
Spend - Cost
effective
Speed - Go To
Market
Security - Most
Secure Cloud
4S - Rule

11. Speed

12. Increase Developer
Productivity

13. Select
IaaS
OS
Setup
Containerization
Storage
Container
Orchestration
Networking
Monitoring
Logging
Testing
Dev
User
What’s So Hard About App Development?

14. Tools for App Modernization
VM Migration
Container Engine
Fully managed Kubernetes
container orchestration
Integrated platform for building
great mobile apps on iOS and
Android
Convert on-prem VMs to
Compute Engine
Enterprise API management
& migration
App Engine
Web-scale PaaS lets Devs just code,
now serving 100B requests/day

15. Traditional Big
Data
Too much time taken up
by care and feeding of
the machinery.
Not enough time spent
gaining insights.
Programming
Resource
provisioning
Performance
tuning
Monitoring
Deployment &
configuration
Handling
growing scale
Utilization
improvements
Reliability

16. Big Data with
Google
Focus on insights.
Not infrastructure.
From batch to streaming.
Programming
Insights

17. Scale

18. Current regions
and number of zones
Planned regions for 2017
and number of zones
#
#
3
3
Singapore2
S Carolina
N Virginia
Belgium
London
Tokyo
Taiwan
Mumbai
Sydney
Oregon
Iowa
Frankfurt
São Paulo
Finland
3
3
3
3
3
3
2
4
3
3
3
Compute Regions
https://cloud.google.com/about/locations

19. Network Backbone
Google network
https://cloud.google.com/about/locations

20. Global Network
World’s Largest
Software
Defined Network
Edge locations in
virtually every country
More than 100 peering
locations
Global Content
Delivery Network
Global Load Balancing
with Single IP
Seamless autoscale to
over 1M QPS with no
pre-warming

21. Spend

22. Cloud users
wasting up to
45%of their spend
Three-year
VM leases
Fixed, inflexible
VM configurations
Per-hour billing
Rightscale State of Cloud 2017
Estimated
Self-Reported
Waste
Additional
Wasted Spend
(measured by Rightscale)

23. 24%
Get Automatic
Sustained Use Discounts
Every Month
Monthly
Usage
Price
Average
Savings
–10% –20%
–30%

24. Dictated by vendor
Fixed VM Configurations
Any CPU, Any Memory
with Average 19% Savings

25. Per-Minute
Billing
Pay only for the
compute you use

26. 60%
Cheaper
$0
Upfront
Sustained use
discount
List price
differences
Custom
machine types
Other Provider
–24%
–21%
–15%

27. New Google Cloud Storage product line
Multi-Regional Regional Nearline Coldline
Common
scenarios
2.6¢ per GB-mo
Content storage and
delivery, business
continuity
For highest availability
of frequently accessed
data
2¢ per GB-mo
Store data for analytics
or compute within a
region
For data accessed
frequently within a
region
1¢ per GB-mo
Store infrequently
accessed content
For data accessed
< once a month
0.7¢ per GB-mo
Archival storage
Data accessed
< once a year
Customer
use case
Streaming videos,
images, websites,
documents
Video transcoding,
genomics, general data
analytics and compute
Serving rarely
accessed docs,
backup
Serve rarely used data,
movie archive, Disaster
recovery

28. Security

29. Compliance audits
ISO 27001
ISO 27017
ISO 27018
HIPAA
ISAE 3402 Type II
AICPA SOC
AICPA SOC
PCI DSS v3.1
FedRAMP ATO
For G Suite and Google
App Engine
SSAE 15 Type II

30. Usage
Operations
Deployment
Application
Network
Storage
OS + IPC
Boot
Hardware
Defense
In-Depth

31. Audit logging URL
reputation
Binary reputation Log-in reputation In-app reputation
Automatic Updates and
Patching
Secure best practices
and configurations
Threat analysis and
intelligence
Forensics Anomaly
detection
Incident
Response
Unphishable HW 2nd
Factor
TL5 DDOS TLS Certificate
Pinning
Vulnerability
Scanning
Binary verification
Source code
provenance
3rd party code
reputation
Automatic
enforcement of
peer review
Security
Reviews
Global Private Network
Encapsulation/
Obfuscation
Elliptical
Encryption
Encryption IAM/Policy Logging
Custom Hardened Kernal Authentication for
each host and each job
Curated images
Trusted Boot Cryptographic
Credentials
Purpose-built chips Purpose-built
servers
Purpose-built
storage
Purpose-built
network
Purpose-built
data centers
Usage
Operations
Deployment
Application
Network
Storage
OS + IPC
Boot
Hardware

32. Titan
Google's purpose-built chip to
establish hardware root of trust
for both machines and
peripherals on cloud
infrastructure
Google's purpose-built
network controller
● Securely identify and authenticate legitimate access at the hardware level
● Part of Google’s layered security architecture, spanning from low physical
security layers higher to logical, operational security layers.

33. Identity-Aware Proxy BETA
● Control access by user identity
● Simpler and safer than VPN
● Building block for “BeyondCorp”

34. Security Key Enforcement
● Enforce security keys as 2nd
factor
● Protect from #1 threat,
phishing
● Building block for
“BeyondCorp”

35. Data Loss Prevention BETA
● Discover & redact sensitive data
● Simplify regulatory compliance
● Safely unlock more of the cloud

36. 40+ infotypes available in DLP API, including
localized infotypes
Source: http://services.google.com/fh/files/misc/gmail_dlp_whitepaper.pdf

39. ● Cloud-hosted key management service
● Automatically rotate keys
● Keep millions of encryption keys
Cloud Key Management Service

40. Storage, Archival, Big-Data and Analytics
on Google Cloud

41. Transform data into actions
Exploration &
Collaboration
Databases Storage
Data
Preparation &
Processing
Analytics
Advanced
Analytics &
Intelligence
Mobile apps
Sensors
and devices
Web apps
Relational
Key-value
Document
SQL
Wide column
Object
Stream
processing
Batch
processing
Data
preparation
Federated
query
Data catalog
Data
exploration
Data
visualization
Developers
Data scientists
Business
analysts
Development
environment
for Machine
Learning
Pre-Trained
Machine
Learning
models
Data
Ingestion
Messaging
Logs

42. Transform data into actions
Data
Preparation &
Processing
Cloud Dataflow
Cloud
Dataproc
Exploration &
Collaboration
Google
BigQuery
Cloud Datalab
Google
Analytics 360
Cloud
Dataproc
Mobile apps
Sensors
and
devices
Web apps
Developers
Data
scientists
Business
analysts
Data
Ingestion
Cloud Pub/Sub
App Engine
Databases/
Storage
Cloud SQL
Cloud Bigtable
Cloud
Datastore
Cloud Storage
Analytics
Google
BigQuery
Google
Analytics 360
Cloud
Dataproc
Google Drive
Advanced
Analytics &
Intelligence
Cloud Machine
Learning
Translate API
Vision API
Speech API

43. Cloud
Storage
App Engine
Memcache
BigQuery
Key-value RelationalNon-relationalObject Warehouse
Fully Managed Storage & Database Services
Binary or
object data
Images, Media
serving, backups
Web/mobile
applications, gaming
Game state,
user sessions
Cloud
Datastore
Hierarchical,
mobile, web
User profiles,
Game State
Cloud
Bigtable
Heavy read +
write, events
AdTech,
Financial, IoT
Cloud
SQL
Web
frameworks
CMS,
eCommerce
Cloud
Spanner
RDBMS+scale,
HA, HTAP
Transactions,
Ad/Fin/MarTech
Enterprise Data
Warehouse
Analytics,
Dashboards

44. Products & services Big Data
BigQuery
A fast, economical and fully
managed data warehouse for
large-scale data analytics
Cloud Dataflow
Cloud Dataflow is a real-time data
processing service for batch and
stream data processing
Cloud Dataproc
Cloud Dataproc is a managed
Spark and Hadoop service that
is fast, easy to use, and low cost
Cloud Pub/Sub
Connect your services with reliable,
many-to-many, asynchronous messaging
hosted on Google's infrastructure
Cloud Datalab BETA
An easy to use interactive tool
for large-scale data exploration,
analysis and visualization
Genomics
Power your science with
Google Genomics

45. Machine Learning & Conversational Computing

47. “If you want to teach a neural network to
recognize a cat, for instance, you don’t tell it
to look for whiskers, ears, fur, and eyes. You
simply show it thousands and thousands of
photos of cats, and eventually it works things
out.”

48. Keys to Successful Machine Learning
Large Datasets Good Models Lots of Computation

49. Machine Learning
is made for Cloud

50. Use your own data to train models Ready to use Machine Learning models
Cloud
Vision API
Cloud
Translation API
Cloud
Natural
Language API
Cloud
Speech API
Cloud Machine
Learning Engine
TensorFlow
Cloud
Jobs API
Cloud Video
Intelligence
Two ways Google Cloud can help you Benefit
from Machine Learning

51. Conversational Intelligence
Personalized
Promotional Offers
Cart & Order Management
Secured Payment
Integrations
Order Tracking Image Analysis Multilingual
Read More

52. Case Studies

53. WhitePages’ Smart
Search and
Connectivity Improves
Employee
Collaboration at
Whirlpool Embraco
Challenges
● Customer’s workforce is dispersed all across the globe; hassle-free
connectivity was a critical business challenge.
● The system was not mobile and could only be accessed within the internal
office network.
● The legacy system was visually out-of-date and did not encourage user
adoption.
Solution
As the customer’s technology advisor, MediaAgility delivered a comprehensive
employee information and engagement solution that fuelled collaboration by giving
employees power to instantly connect at a moment’s notice.
Results
● Employee collaboration with hassle-free connectivity.
● With Google’s single sign-on feature, users can quickly access the data
anytime through web and mobile.
● The solution is cloud-based, hence needs minimum or no IT maintenance.
Read More

54. Challenges
● The team wanted a mapping technology that could help expand the service
throughout India.
● Bigbasket guaranteed to deliver goods within a one-hour delivery slot of its
customers’ choosing or it would refund them 10 percent of their orders
● Track all orders and delivery progress in real-time
Solution
Google Maps Partner MediaAgility used a variety of Google Maps APIs to develop
web and mobile apps for the company’s backend that tracks all orders and
delivery progress.
Results
● Bigbasket handles more than one million orders per month, and delivers in
more than two dozen cities in India
● Bigbasket now has more than four million customers
● Orders are delivered on time, increasing customer loyalty
Know More
MediaAgility with Google
Maps APIs, Helps
Bigbasket Deliver
Engaging Customer
Experience with Faster
Order Deliveries

55. Identify Workloads Define architectures with
the right technology
stack
Develop a tailored
prototype
Build business cases
Sure Start - Infrastructure

56. Sure Start - Machine Learning
Get your teams
trained on
Google Cloud
Platform and
Machine Learning
with hands-on
exercises
Identify potential first use
case for getting started
with Machine Learning
Develop a Minimum
Viable Product
Build business cases

57. Sure Start - Agenda. 5 days. 5 Modules.
Day 1
Google Cloud Platform
(GCP) Fundamentals
Day 2
Deep Dive Training
Day 3
Design Workshop
Day 4
Minimum Viable
Product
Day 5
Insights & Business
Use Case

58. Thank you!
solutions@mediaagility.com
1-866-MEDIA-V1
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