Cloud computing is transforming how we think about IT. It shifts from owning hardware to a service-based model. Benefits include cost savings, flexibility, accessibility, and reliability - making it attractive for businesses of all sizes.

1. Cloud
Computing

2. Introduction to cloud
computing
• Definition: On-demand delivery of IT resources (servers, storage,
software, networks) over the internet.
• Pay-as-you-go pricing: Pay only for what you use.
• High scalability: Easily increase or decrease resources to match
demand.
• Global accessibility: Access your applications and data from
anywhere with an internet connection.
• Increased reliability: Cloud providers offer built-in redundancy
and disaster recovery.
• Enhanced collaboration: Teams can work together in real-time
using cloud-based tools.
Cloud computing is transforming how we think about IT. It shifts
from owning hardware to a service-based model. Benefits include
cost savings, flexibility, accessibility, and reliability - making it
attractive for businesses of all sizes.

3. Understanding Cloud
Deployment Models
• A large cloud with the words
"Public", "Private", "Hybrid", and
"Community" clouds branching off
Cloud deployment models provide
different ways businesses and
individuals can leverage cloud
computing services. Each model
offers specific levels of control,
security, flexibility, and cost
structures. In this presentation, we'll
dive into the key cloud deployment
models: Public, Private, Hybrid, and
Community clouds.

4. Key Benefits of Cloud Computing
• Cost Reduction: Reduced capital expenditure and
operational costs.
• Scalability: Quickly adjust resources up or down to
match your needs.
• Disaster recovery: Improved failover and recovery
capabilities.
• Global reach: Access resources and users anywhere
in the world.
• Security: Cloud providers often have robust security
measures.
Cloud offers significant benefits over traditional IT
models. Cost reduction is a major draw, along with
scalability for handling unpredictable workloads. It
drives innovation and helps organizations focus on
their core strengths. Plus, cloud often provides better
security than many companies could implement on
their own.

5. Public Cloud
Owned by a third-party
provider: Examples include
Amazon Web Services
(AWS), Microsoft Azure, and
Google Cloud Platform.
Shared resources: Resources
are used by multiple
organizations.
Least expensive option: Pay-
as-you-go for usage only.
Highly scalable: Easily
handle massive workloads.
Best for: Non-sensitive data,
applications with fluctuating
demand, and cost-conscious
businesses.

6. Private Cloud
Dedicated to a single organization: Provides higher control and customization.
Located on-premises or with a third-party: Can be physically in your datacenter or hosted by a
provider.
More expensive but more secure: Costs more than public cloud, but offers higher security.
Best for: Highly regulated industries, sensitive data, mission-critical applications.
Private cloud provides exclusivity and control. Suitable where regulations or data sensitivity are
major concerns. It requires more upfront investment and management than public cloud.

7. Hybrid Cloud
• Combination of public and private
clouds: Offers the best of both worlds.
• Sensitive data stays on private cloud:
Leverage public cloud for less sensitive
data or burst capacity.
• More complex to manage: Requires
integration and management of both
environments
• Best for: Flexibility, achieving regulatory
compliance, and optimizing costs
Hybrid cloud offers flexibility – sensitive
data stays in controlled environments,
while you tap into public cloud cost-
efficiency for other needs. Management is
more complex with a hybrid approach.

8. Community Cloud
• Shared resources among similar
organizations: Often in the same industry
(healthcare, finance).
• Governed by community participants: Jointly
set policies and standards.
• Offers increased security and compliance:
Compared to a public cloud, while still
providing some cost savings.
• Best for: Collaboration on shared projects,
meeting specific industry regulations.
Community cloud is a niche but useful model
where organizations with shared interests
collaborate. They can meet strict compliance
standards while still leveraging cloud
technology's cost advantages.

9. Cloud Service Models
Infrastructure-as-a-Service (IaaS): Rent the building blocks: servers,
storage, networking (e.g., AWS EC2) – most control, most responsibility.
Platform-as-a-Service (PaaS): Provides a development environment for
your applications (e.g., Google App Engine) – less management overhead.
Software-as-a-Service (SaaS): Rent the entire house: just use ready-made
applications (e.g., Salesforce) – easiest to use, least customizable.

10. IaaS (Infrastructure-
as-a-Service)
• Offers virtualized computing resources: Servers, storage,
networking.
• High level of control: Choose OS, applications,
middleware.
• Ideal for: Migrating existing applications, handling
variable workloads, and when specific control is needed.
• Requires more IT expertise: To configure and manage
the infrastructure.
IaaS is like renting virtualized hardware. Excellent for
existing workloads or when you need granular control.
More technical knowledge is needed from your IT teams
compared to higher-level models.

11. PaaS (Platform-as-a-
Service)
• Focus on application development: Provides a platform with
tools and services for developing apps
• Less administrative overhead: You don't manage low-level
infrastructure
• Ideal for: Rapidly developing and scaling web applications.
• May limit customization options: Based on the platform's
constraints.
PaaS takes care of the development environment for you. It's
ideal if your focus is on building applications without worrying
about managing servers. Keep in mind that you'll be bound by
the capabilities of your chosen PaaS platform.

12. SaaS (Software-as-a-
Service)
• Cloud-based applications accessed via a web browser:
Example: Gmail, Office 365 apps
• No software installation required on your devices: Accessible
from anywhere with internet.
• Subscription-based pricing: Typically paid per user, per month.
• Least technical expertise needed: The easiest way to utilize
cloud capabilities.
SaaS is the familiar application-delivery model of the cloud. Use
software without installation or management worries.
Customization of SaaS applications is often limited.

13. Factors
Affecting
Deployment
Model
Choice
• Security and Compliance: Highly regulated data or industries
may necessitate a private or community cloud model.
• Level of Control: Private clouds offer the most customization
and control over the environment
• Workload Requirements: Variable workloads benefit from the
scalability of public or hybrid clouds
• Budget: Public cloud is generally the most cost-effective, but
private may offer better long-term value depending on use
cases.
• Technical Expertise: Consider your team's capabilities to
manage IaaS versus using the streamlined PaaS/SaaS models.
The right deployment model depends on a combination of
factors. Security needs often dictate the choice. How much
control you require, workload patterns, your financial flexibility,
and your technical team's skills all need to be considered when
making this important decision.

14. Conclusion
Cloud computing is changing the IT landscape: Providing scalable, cost-
effective, and accessible IT resources.
Selecting the right model is crucial: Balancing security, control, cost, and
complexity needs.
The future of cloud computing is bright: Enabling new business models and
driving innovation.
Organizations need to embrace the cloud: To remain competitive and agile in
the digital era.

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