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2 Cloud

Cloud computing provides scalable IT capabilities as an internet-based service rather than products. It uses a pay-per-use model accessed from any device via the internet. There are three delivery models: Software as a Service (SaaS) for apps, Platform as a Service (PaaS) for developing apps, and Infrastructure as a Service (IaaS) for basic computing resources. Cloud provides illusion of infinite resources, eliminates upfront costs, and allows pay per use which improves resource utilization over traditional data centers. Key considerations for adoption include demand patterns, customization needs, integration requirements, and compliance/privacy needs.

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0% found this document useful (0 votes)
87 views21 pages

2 Cloud

Cloud computing provides scalable IT capabilities as an internet-based service rather than products. It uses a pay-per-use model accessed from any device via the internet. There are three delivery models: Software as a Service (SaaS) for apps, Platform as a Service (PaaS) for developing apps, and Infrastructure as a Service (IaaS) for basic computing resources. Cloud provides illusion of infinite resources, eliminates upfront costs, and allows pay per use which improves resource utilization over traditional data centers. Key considerations for adoption include demand patterns, customization needs, integration requirements, and compliance/privacy needs.

Uploaded by

Mahek Mall
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Cloud Computing

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“The Cloud”

A style of computing where massively scalable


(and elastic) IT-related capabilities are provided
“as a service” to external customers using Internet
technologies.

What’s new?
Acquisition Model: Technical Model:
Business Model: Access Model:
Based on Scalable, elastic,
Based on pay for Over the Internet
purchasing of dynamic &multi-
use to ANY device
services tenant

Source: Gartner

2
Types of Cloud services / Cloud
Delivery Models
 Software as a Service (SaaS): Cloud
applications

 Platform as a Service (PaaS): Cloud


services as a platform to develop the
applications

 Infrastructure as a Service (IaaS): Basic


computation and storage resources
3
Types of Cloud services
(Continued..)
Google Docs
Software As A Service Photo Albums
(SaaS) Google Apps
CRM Apps by Salesforce.com

Azure by Microsoft
Platform As a Service (PaaS) Google App. Engine

Blue Cloud Data Center – IBM


Dropbox
Infrastructure As A Service Amazon EC2 (Elastic Compute Cloud)
(IaaS) Amazon S3 (Simple Storage Service)

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5
https://www.bmc.com/blogs/saas-vs-paas-vs-iaas-whats-the-difference-
and-how-to-choose/
Commercial Cloud Formation

6
Cloud Deployment Model
 Public Cloud : Cloud facility shared
with all the users
 Private Cloud: Cloud facility exclusive
for a particular firm
 Hybrid Cloud : Mix of both , few
services loaded on public cloud and
rest on private cloud

7
Cloud Hardware Advantages
 Illusion of infinite computing resources
available on demand–
 no need to plan far ahead for provisioning
 Elimination of up-front commitment
 allows companies to start small and expand as
needed (reduces capital investment)
 Ability to pay for use of computing resources
on short-term basis as needed (e.g.,
processors by the hour and storage by the day)

8
Elasticity
 Add or remove resources at fine
grain(Example- Amazon EC2)
 Can be added or removed within minutes
 Closer matching of resources to
workload
 Real world server utilization in data
centers – 5 – 20 %
 Peak exceeds average by 2-10%

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Over and Under Provisioning

10
Real World Examples
Animoto debut on Facebook –(AWS)
experienced a demand surge that resulted in
growing from 50 servers to 3500 servers in
three days
 later traffic fell to a level well below peak
Target.com on “Black Friday”- (AWS )
Other retailers had severe performance
problems and intermittent unavailability
Target’s and Amazon’s sites were just slower
by about 50%.

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Key Considerations for Adoption
 Demand Patterns –constant or varying ?-
 High Customization needed ?- (No or private
cloud)
 Stage of Company – Start-up or established ?
(Yes)
 Is Application Mission Critical ?- ( Do not go for
public cloud )
 Stringent Compliance Needs ?- (No)

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Key Consideration (continued..)
 Integration Requirements of SaaS based
applications- (Think about integration
with other business applications)
 Privacy requirements- (which cloud to
choose)
 Performance Needs ?
 Also read : What Every CEO Needs to
Know About the Cloud.

13
Few Points
 IT from CapEx to OpEx
 Cloud – Rented Accommodation???

14
Market Share – 2013

15

Source : Computenext.com
Market Share

16
17
Market share in 2021

Source: 18
https://www.parkmycloud.com/blog/aws-vs-azure-vs-google-cloud-market-share/
19

Source: Gartner
Amazon v/s AWS

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 END

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