The document discusses cloud computing and Google Cloud Platform (GCP). It provides an overview of cloud computing concepts like IaaS, PaaS, SaaS and examples of cloud providers. It then describes GCP and its services for computing, storage, databases, networking, big data, developer tools, security and more. The document outlines the advantages of GCP like scalability, reliability and security as well as some disadvantages. It concludes with examples of using GCP for large organizations that need advanced access controls and capabilities for big data and machine learning.

2. Agenda
 Need of Cloud Computing
 What is Cloud Computing
 Cloud Services and Providers
 Why GCP
 What is GCP
 GCP Services
 GCP region and zones
 Advantage and disadvantage
 Use case

3. Traditional Method
• Concept of physical data centers
and the dependence of the
businesses that use these data
centers for the sake of storing their
digital assets and running a
complete networking system for
their day to day operations.

4. Problems Faced
Database & Security Managing Servers
Increasing Cost Fast & Fault Tolerant
Scalability Issue

5. Solution
CLOUD
COMPUTING
Database &
Security
Dynamically
Scalable Servers
Remote Access to
Devices Fast Computation
Reduced Cost & Overhead

6.  Cloud computing is the on-demand delivery of
compute power, database storage, applications,
and other IT resources through a cloud services
platform via the internet with pay-as-you-go pricing.
 It is the use of remote servers on the internet to
store, manage and process data rather than a local
server or your personal computer.
Cloud Computing

7. On-Premise
Cloud Services
Applications
Data
Runtime
Middleware
O/S
Virtualization
Servers
Storage
Networking
Infrastructure as a
Service (IaaS)
Applications
Data
Runtime
Middleware
O/S
Virtualization
Servers
Storage
Networking
Platform as a Service
(PaaS)
Applications
Data
Runtime
Middleware
O/S
Virtualization
Servers
Storage
Networking
Software as a Service
(SaaS)
Applications
Data
Runtime
Middleware
O/S
Virtualization
Servers
Storage
Networking
Managed by Customer Managed by Provider

8. Cloud Providers

9. Why GCP?
Google Cloud Platform, is a suite of cloud computing services that runs on the same
infrastructure that Google uses internally for its end-user products, such as Google
Google Search, Gmail, Google Photos and YouTube.

10. Why GCP?
Cost Effective Serverless
Highly Scalable
Custom Machine
Types
Big Data
Analytics
Cloud AI
Internet of Things API Platform and Ecosystem

11. What is GCP?
Google Cloud Platform, is a suite of cloud computing services and management tools offered by
Google alongside a set of management tools, it provides a series of modular cloud services including
computing, data storage, data analytics and machine learning.

12. Google Cloud Platform Services
Compute Storage & Database Networking Big Data Developer Tools
Identity & Security Internet of Things Cloud AI Management Tools Data Transfer

13. Google Cloud Platform Options
Google Service Google Service Description Features
Compute Engine Host your virtual machine in
Google’s IaaS
• Handles large scale.
• Easy and fast.
• Balances loads for optimum
performance.
App Engine Provides a PaaS model that
includes tools for building and
deploying in the cloud. It’s set
up to work with containerized
applications and includes SDKs
to get started.
• Variety of development tools.
• Built-in services.
• Options for storage.
• Supports popular services
and languages.

14. Container Engine Orchestrate Docker containerized
applications using Kubernetes.
This service offers single-click
clusters and integrated
monitoring.
• Leverage multi-zone and
regional clusters.
• Auto-updates.
• Integrates with monitoring
solutions.
Cloud Storage Store objects and files. • Simple API provided.
• Safe and secure.
• Cloud SQL
• Cloud Datastore.

15. GCP Regions and Zones

16. Advantage of GCP
 High productivity
 Quick collaboration
 Pricing
 Live Migration
 Highly Scalable
 Strong security
 Reliability

17. Disadvantage of GCP
 Very few customization
 Limited choice of programming languages
 Fewer global data centers
 Complex transition away from the platform to another vendor.

18. Use Case of GCP
If you’re a large organization that needs to set a lot of permissions while
working on projects, Google has an excellent organizational hierarchy that
allows you to set policy at the top level and forget it. This enables
departments to move fast yet remain bound to organizational constraint.
Another ideal use case for using GCP is for organizations that need the
benefits of advanced Big Data, machine learning and analytics