This document provides an introduction to Google Cloud Platform (GCP). It discusses cloud computing and service models like IaaS, PaaS, SaaS. It describes GCP and its global network and regions. It outlines key GCP services like Compute, Storage, Databases, Data Analytics, AI/ML. It explains GCP projects and resource hierarchy. It also discusses different ways to interact with GCP like the Cloud Console, SDKs, APIs and provides a demo.

1. Introduction to Google Cloud
Platform
Pradeep Bhadani
Founder, Cloud Native Technologies
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12th December 2020, DSC - University of Glasgow

2. About Me
IT Consultant with 9 years of experience in Big Data, Cloud & DevOps
GDE (Google Developers Expert) - Cloud
Google Cloud Authorized Trainer
HashiCorp Ambassador
Blog: pbhadani.com
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3. Services
● Big Data Consultancy
● Cloud & DevOps Consultancy
● Tailored Training and Workshops
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4. Agenda
● Cloud Computing
○ What is a Cloud Computing?
○ Service Models
● Google Cloud Platform
○ What is Google Cloud Platform?
○ Services
● How to interact with Google Cloud Platform?
● Demo
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5. Cloud Computing
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6. Cloud computing is a model for enabling on-demand access of
computing resources over the internet and on the pay-as-you-go basis.
What is Cloud Computing?
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7. Service Models
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Infrastructure as a Service
(IaaS)
IaaS PaaS SaaS FaaS Serverless
Platform as a Service
(IaaS)
Software as a Service
(IaaS)
Function as a Service
(IaaS)
Serverless Computing

8. Google Cloud
Platform
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9. What is Google Cloud Platform(GCP)?
GCP is a suite of cloud computing services that runs on Google’s
hardware.
cloud.google.com
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10. Google Network
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Source: https://cloud.google.com/about/locations#network

11. Google Cloud Region
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Source: https://cloud.google.com/about/locations#regions

12. Services on GCP
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Compute Storage Databases Big Data
Network AI/ML Operations Security

13. Compute
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Compute Engine
(GCE)
Kubernetes Engine
(GKE)
App Engine
(GAE)
Cloud Run Cloud Functions

14. Storage & Databases
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Cloud Storage
(GCS)
BigTable Cloud SQL Spanner Datastore

15. Data Analytics
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BigQuery Dataflow Dataproc Cloud Composer Pub/Sub

16. AI/ML
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AI Platform Vision Video Intelligence Natural Language Translation

17. GCP Project
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Logical boundary to organize all GCP resources.
● Track billing
● Enable service APIs
● Manage permissions & credentials
● Track resource & quota usage
Attributes:
● Project Name
● Project ID (unique)
● Project Number (unique)
Project A

18. Resource Hierarchy
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Organization
Folder
Project
Resources

19. How to interact
with GCP?
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20. Ways to Connect
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Cloud Console Cloud SDK Mobile App Client Libraries &
APIs

21. Demo
Photo by Markus Spiske on Unsplash
Photo by Alex Litvin on Unsplash

22. Image by TeroVesalainen from Pixabay
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23. cntek.io
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