Cloud computing integrates software, hardware, and internet infrastructure, providing users with simple interfaces and on-demand services that are cost-effective compared to traditional data centers. It encompasses various service models such as SaaS, PaaS, and IaaS, each offering distinct advantages and disadvantages. Deployment models include private, public, and hybrid clouds, each with unique benefits and risks related to security, investment, and management.

1. Cloud Computing

2. Cloud Computing
● Cloud computing is a platform where software,
hardware and internet infrastructure grouped.
● These platforms hide the complexity and details of the
underlying infrastructure from users and applications
by providing very simple graphical interface
● Platform provides on demand services, that are always
on, anywhere, anytime and any place.
● Cloud is most efficient and cost effective w.r.t
traditional data centers.

3. Cloud Characteristics
● On demand self-service
● Broad network access
● Resource pooling (Storage, processing, memory etc.)
● Rapid elasticity
● Measured services

4. Cloud Architecture

5. Service Models
● Software as a Service (SaaS)
– Allows users to run existing online application.
– From end user’s point of view applications are
located in the cloud and software delivered through
the Internet.
● Advantages:
– Free or paid applications via subscription over the
internet.
– Accessible application from any where any time
through internet.
– Facilitate collaborative working.
● Disadvantage: Generic applications not always
suitable for business use.

6. Service Models ...
● Platform as a Service (PaaS)
– Allows users to create their own tools for creating
new online applications (Google App Engine,
Windows Azure Platform etc.)
● Advantages:
– Rapid development at low cost.
– Private or public deployment.
● Disadvantage:
– Limit developers to provide languages and tools.

7. Service Models ...
● Infrastructure as a Service (IaaS)
– Allows existing applications to be run on a cloud
suppliers hardware.
– Cloud providers build data centers that include
power, scale, hardware, networking, storage,
distributed system etc.
– Cloud users rent storage, computing and
maintenance from cloud providers.ho want to create
services but don't want to build their own cloud

8. Cloud Computing

9. MicroSoft Cloud Platform

10. Cloud Deployment Models
● Private Cloud:
– The cloud infrastructure is dedicated for single
organization.
– Cloud may be owned, managed, and operated by
the organization, a third party, or some combination
of them.
– It may exist on or off premises.
– Can be a single or multi site deployment.
●
Private Cloud Advantages:
– Fewer security concerns as existing data center
security stays in place.
– IT organization retains control over data center.

11. Cloud Deployment Models ...
●
Private Cloud Risks:
– High investment hurdle in private cloud
implementation, along with purchases of new
hardware and software.
– Require greater skill-set to manage the private cloud.

12. Cloud Deployment Models ...
● Public Cloud:
– The cloud infrastructure is provisioned for open use
by the general public.
– It may be owned, managed, and operated by a
business, academic, or government organization, or
some combination of them.
– It exists on the premises of the cloud provider.
– Normally includes pay-as-you-go pricing.
● Public Cloud Advantages:
– Low investment hurdle: pay for what you use.
– Good for test/development environment for applications
that scale to many servers.

13. Cloud Deployment Models ...
● Public Cloud Risks:
– Security concerns: multi-tenancy and transfers over the
Internet.
– IT organization may react negatively to loss of control
over data center function.

14. Advantages & Disadvantages
(Private VS Public Cloud)

15. Cloud Deployment Models ...
● Hybrid Cloud:
– The cloud infrastructure is a composition of two or
more distinct cloud infrastructures (private, public).
– Its deployed on multiple sites.
● Hybrid Cloud Advantages:
– Operational flexibility: run mission critical on private
cloud, dev/test on public cloud.
– Scalability: run peak and bursty workloads on the
public cloud.
● Hybrid Cloud Risks:
– Still under study and not in real use.
– Same security concerns as in public cloud.

16. Cloud Deployment Models ...
● Hybrid Cloud:

17. Cloud Deployment Models ...

18. EnterpriseDB & Google Cloud
● https://console.cloud.google.com/launcher?project=deft-smile-93711&cat=DATABASE

19. EnterpriseDB Cloud DBMC