Embrace the next era of computing platform : Google Cloud Platform.

1. Who’s Who at Google
“Investment of over 30 billion into GCP”
“Google Cloud Has 'Good Shot' at Topping AWS by 2022”
“Machine learning is a core, transformative way by which we’re
re-thinking how we’re doing everything
3 Zone Region in Mumbai live before the end of the year 2017
Google annual Cloud Vision and Strategy event is known as Google Next. For key takeaways from 2017 Next event :
Eric Schmidt - Executive Chairman
Sundar Pichai - CEO
Diane Green –Senior VP, Cloud Business
Artificial intelligence is "the driving force of the fourth industrial revolution,"
Fei Fei Li – Chief Scientist AI
Within AI, Vision will be the killer app. 80% of all of cyberspace is in pixel form

2. Quick Insights
“We help keep your business safe and secure !”
Google tripled the number of $500,000 plus cloud deals in the
last year.
Google Cloud Has 'Good Shot'
at Topping AWS by 2022
A global fiber network, connecting you to the world. Analytics
that crunch petabytes in minutes.
“Machine learning is a core, transformative way by which we’re re-thinking how we’re doing
everything.”
Over 30+ large enterprises are now using GCP !
15 regions and 30 zones. London,
Mumbai & Sydney in 2017
3 Zone Region in Mumbai live before the end of
the year 2017 !!!!!

3. Key Differentiators against other major Competitors in this space (AWS & Azure)Note
Key Differentiators
Google has a significant advantage in AI & Machine learning : Google Cloud's AI provides modern machine
learning services, with pre-trained models and a service to generate client tailored models. Sundar Pichai, CEO,
said on a recent earnings call: “Machine learning is a core, transformative way by which we’re re-thinking how
we’re doing everything.” GCP provides pre-trained models along with a huge list of supported APIs
1
Lower Costs : At an high level, GCP’s costs are around 15 to 30% cheaper than major competitors.
GCP charges are applicable by the minute (A minimum of 10 mins. is charged),whereas AWS rounds
upwards to the nearest hour. Paying upfront in AWS required to avail deep discounts for reserved
instances, but in a lot of circumstances, it is very difficult to forecast which servers will be required
after one year. GCP discounts are retrospective. UPDATE: AWS also provides per second billing for
EC2
2
Experience in handling extremely large data sets: GCP excels at supporting developer-centric
applications, high compute workloads like data analytics, petabyte scale data processing, and burst
computing. Google uses GCP internally to support high-demand services such as Gmail, YouTube,
Maps and Search.
3
Excellent Scaling Capabilities : GCE Load balancers are very scalable and don’t require any
instance pre-warming like AWS.
4
Serverless Computing : AWS’ Lambda offers far more robust capabilities than Google Cloud functions
which has just exited Beta state.
Archiving Functions: Google’ NearLine and ColdLine offer sub second latency access to archived files
compared to Glacier that strings it out for hours.
5
The Landscape
and features
offered by the
Public Cloud
Service providers
are continuously
updated.
Hence, these
points of
differentiation for
Google Cloud
Platform (referred
as GCP) are
based on a point in
time study and
they are likely to
change as Google
continues to
evolve their
platform

4. GCP: Overview of Capabilities
Capability Area Feature Name AWS GCP Capability NAME
Compute Virtual Server EC2 Compute Engine
Compute Container Management Service EC2 Container Service Container Engine
Compute Event Driven/Serverless Compute AWS Lambda Cloud Functions
Compute Micro Services App Development
Storage Object Storage & Block Storage S3 & EBS Cloud & Block Storage
Storage Cold Storage & Archival Glacier Nearline
Database SQL & No SQL Databases Aurora, RDS, Dynamo Cloud SQL & Datastore
Database Data Warehousing Redshift & others Big Query
Networking Virtual Networking Virtual Public Cloud Cloud VPN
Networking DNS Route 53 Cloud DNS
Security, Identity &
Compliance
Identity & Access Management AWS IAM Cloud IAM

5. Latency sensitive needs
Anti-patterns for Cloud Adoption
3
Governance and/or External Regulatory Constraints2
Unstable network conditions and/or Low Bandwidth1
Listed below are some use cases, where suitability for moving to Cloud needs to be evaluated.
Specialty Hardware, Software and/or Configuration requirements (e.g. AIX, Solaris based apps),
Non x86 platforms such as SPARC
4
Understanding the Security aspects & business risks (e.g. Information Security aspects, protecting
information about business processes which are very confidential, etc)
5
Overall Cost & ROI should be positive. Overall Change Management (People & processes) & Org.
readiness need to be evaluated before embarking onto cloud
6