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Using Google Cloud Services with Spring Boot and Pivotal Cloud Foundry (Pivotal Cloud-Native Workshop: Milan)

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Using Google Cloud Services with Spring Boot and Pivotal Cloud Foundry (Pivotal Cloud-Native Workshop: Milan)

  1. 1. Using Google Cloud Services with Spring Boot and Pivotal Cloud Foundry
  2. 2. Organize the world’s information and make it universally accessible and useful. – Our Mission
  3. 3. 7 Cloud products with 1 billion users
  4. 4. Google has built the largest, most advanced, computing infrastructure.
  5. 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. 6. Google Cloud is bringing the power of Google’s infrastructure to businesses
  7. 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. 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. 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. 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. 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. 12. Confidential & Proprietary Cloud Machine Learning Engine Fully Managed ML Infrastructure Train Your Own Models
  13. 13. Confidential & Proprietary
  14. 14. Confidential & Proprietary Sample App: Landmark Vanguard
  15. 15. Confidential & Proprietary Demo
  16. 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. 17. Let’s transform how the world builds software, together

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