The document discusses the integration of Google Cloud Services with Spring Boot and Pivotal Cloud Foundry to enhance accessibility and usability of information globally. It highlights Google Cloud's extensive infrastructure, its various cloud products, and the focus on data and analytics to provide insights rather than infrastructure management. The document also offers resources for further exploration of Google Cloud and Pivotal Cloud Foundry services.

1. Using Google Cloud Services with Spring
Boot and Pivotal Cloud Foundry

2. Organize the world’s information and make
it universally accessible and useful.
– Our Mission

3. 7 Cloud products with 1 billion users

4. Google has built the largest, most
advanced, computing
infrastructure.

5. Confidential & Proprietary
Unity (US, JP) 2010
Monet (US, BR) 2017
Tannat (BR, UY, AR) 2017
Junior (Rio, Santos) 2017
FASTER (US, JP, TW) 2016
PLCN (HK, LA) 2019
Indigo (SG, ID, AU) 2019
SJC (JP, HK, SG) 2013
Edge points of
presence >100
Network
Network sea cable
investments
Frankfurt
Belgium
London
Finland
Netherlands
São Paulo
Taiwan
Singapore
Mumbai
Sydney
Tokyo
Future region and
number of zones
Current region and
number of zones
Hong Kong
3
S Carolina
N Virginia
Oregon Iowa
Montreal
Los Angeles
3
3
3
3
3
3
3
2
4
3
2
3
3
33
3
3
Better global infrastructure
Select from 14 Regions, 5 new announced in 2018
More than 100,000s miles of fiber optic cable

6. Google Cloud is bringing the power of Google’s infrastructure to
businesses

7. LANGUAGE
API
VISION
API
APP
ENGINE
COMPUTE
ENGINE
CONTAINER
ENGINE
BIG
QUERY
DATA
FLOW
MACHINE
LEARNING
CLOUD
STORAGE
NETWORKING COMPUTE
ENGINE
Teams, mobility, devices
Connected business platforms
App development & management
Data analytics & machine learning
Infrastructure, storage, network
Security / Scale / Control

8. Confidential & Proprietary
Typical data & analytics
Difficult to deploy and maintain
Too much time spent taking care of the system
Not enough time spent getting insights
Google data & analytics
Focus on insights not infrastructure
From batch to streaming
Analytics, transactions and data warehousing
Programming,
Maintenance,
Monitoring, Handling Scale
Perf Tuning
Insights Insights Programming
Google data & analytics
Focus on insights not infrastructure

9. Big data solutions
Real-time streaming analytics
Pub/Sub Dataflow BigQuery
Data warehouse
in the cloud
BigQuery
Managed
Hadoop/Spark
Dataproc
Horizontally
scalable SQL
Spanner
Interactive data
exploration
Datalab
Collaborative data
visualization
Data Studio

10. Confidential & Proprietary
Use Our Models
Leverage Google’s domain
expertise
No tools or expertise required
Train your own
models
Build on your own specialized
domain expertise
Use Google tools for building and
training models
Machine Learning with Google Cloud
OR

11. Confidential & Proprietary
Cloud Speech API Cloud Vision API
Cloud Translate API
Cloud Natural Language API Cloud Video Intelligence
Cloud Jobs API
Democratizing Algorithms

12. Confidential & Proprietary
Cloud Machine
Learning Engine
Fully Managed ML Infrastructure
Train Your Own Models

13. Confidential & Proprietary

14. Confidential & Proprietary
Sample App: Landmark Vanguard

15. Confidential & Proprietary
Demo

16. Confidential & Proprietary
References
Overview of PCF on GCP
http://www.pivotal.io/google
Download a trial of PCF for GCP
https://network.pivotal.io/products/ops-manager
GCP Service Broker for PCF
https://network.pivotal.io/products/gcp-service-broker/
Free trial of Pivotal Web Services
http://run.pivotal.io
Landmark Vanguard Sample App
https://github.com/cf-platform-eng/gcp-ml-sentiment

17. Let’s transform how the world
builds software, together