Using Google Cloud Services with Spring Boot and Pivotal Cloud Foundry
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Using Google Cloud Services with Spring Boot and Pivotal Cloud Foundry
Organize the world’s information and make it universally accessible and useful.
– Our Mission
7 Cloud products with 1 billion users
Google has built the largest, most advanced, computing infrastructure.
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
BelgiumLondon 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 CarolinaN Virginia
Oregon IowaMontreal
Los Angeles
3
3
3
3
333
2
4
3
2
3
3 33
3
3
Better global infrastructure Select from 14 Regions, 5 new announced in 2018More than 100,000s miles of fiber optic cable
Google Cloud is bringing the power of Google’s infrastructure to businesses
LANGUAGE API
VISION API
APP ENGINE
COMPUTE ENGINE
CONTAINER ENGINE
BIG QUERY
DATA FLOW
MACHINELEARNING
CLOUD STORAGE
NETWORKING COMPUTEENGINE
Teams, mobility, devices
Connected business platforms
App development & management
Data analytics & machine learning
Infrastructure, storage, network
Security / Scale / Control
Confidential & Proprietary
Typical data & analyticsDifficult to deploy and maintain
Too much time spent taking care of the system
Not enough time spent getting insights
ProgrammingMaintenanceMonitoringHandling scalePerf tuning
Google data & analyticsFocus on insights not infrastructure
From batch to streaming
Analytics, transactions and data warehousing
Programming, Maintenance,
Monitoring, Handling ScalePerf Tuning
Insights Insights Programming
Google data & analytics Focus on insights not infrastructure
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
Confidential & Proprietary
ProgrammingMaintenanceMonitoringHandling scalePerf tuning
Use Our ModelsLeverage Google’s domain expertise
No tools or expertise required
Train your own modelsBuild on your own specialized domain expertise
Use Google tools for building and training models
Machine Learning with Google Cloud
OR
Confidential & Proprietary
ProgrammingMaintenanceMonitoringHandling scalePerf tuning
Cloud Speech API Cloud Vision API
Cloud Translate API
Cloud Natural Language API Cloud Video Intelligence
Cloud Jobs API
Democratizing Algorithms
Confidential & Proprietary
ProgrammingMaintenanceMonitoringHandling scalePerf tuning
Cloud MachineLearning Engine
Fully Managed ML Infrastructure
Train Your Own Models
Confidential & Proprietary
Confidential & Proprietary
Sample App: Landmark Vanguard
Confidential & Proprietary
Demo
Confidential & Proprietary
References
Overview of PCF on GCPhttp://www.pivotal.io/google
Download a trial of PCF for GCPhttps://network.pivotal.io/products/ops-manager
GCP Service Broker for PCFhttps://network.pivotal.io/products/gcp-service-broker/
Free trial of Pivotal Web Serviceshttp://run.pivotal.io
Landmark Vanguard Sample Apphttps://github.com/cf-platform-eng/gcp-ml-sentiment
Let’s transform how the worldbuilds software, together
Related Documents
