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AWS Cloud computing

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These are concise notes on Cloud Computing, covering: Definition: Cloud computing is the on-demand delivery of computing resources (servers, storage, databases, software, etc.) over the internet, allowing users to access scalable services without managing physical hardware (pay-as-you-go model). Deployment Models: Public Cloud, Private Cloud, Hybrid Cloud (and sometimes Multi-Cloud). Service/Computing Models: IaaS (Infrastructure as a Service), PaaS (Platform as a Service), SaaS (Software as a Service).

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CLOUD DEPLOYMENT MODELS
Complete Study Guide - Public, Private, Hybrid & Multi-Cloud


Q1: What are Cloud Deployment Models and why are they important?

Answer: Cloud Deployment Models define how cloud infrastructure is built, owned, managed, and
accessed by organizations. The four main deployment models are: Public Cloud, Private Cloud, Hybrid
Cloud, and Multi-Cloud. Each model offers different levels of control, security, cost-efficiency, and
scalability. Choosing the right deployment model is crucial for organizations as it affects data security,
compliance, cost, performance, and operational flexibility. Different organizations have different
requirements, so understanding these models helps make informed decisions.


■ Deployment models define infrastructure ownership and management
■ Each model serves different organizational needs
■ Choice impacts: Security, cost, performance, compliance, control
■ Organizations may use multiple models simultaneously
■ Understanding models helps optimize cloud strategy


Q2: What is Public Cloud and how does it work?

Answer: Public Cloud is a deployment model where cloud infrastructure and services are owned and
operated by a third-party cloud provider and shared among multiple organizations (tenants). The
infrastructure is accessible over the internet to anyone with an account. Resources like servers, storage,
databases, and applications are pooled and shared among many customers. Cloud providers like AWS,
Microsoft Azure, Google Cloud Platform (GCP), and Alibaba Cloud offer public cloud services. Each
customer's data is logically isolated from others through virtualization and encryption techniques.


■ Owned and operated by third-party cloud provider
■ Infrastructure is shared among multiple organizations
■ Accessible over the internet to anyone
■ Data is logically isolated but physically shared
■ Major providers: AWS, Azure, GCP, Alibaba Cloud, IBM Cloud
■ Multi-tenancy architecture for cost efficiency

, Q3: What are the advantages of Public Cloud?

Answer: Public Cloud offers significant advantages: highly cost-effective with pay-as-you-go pricing, no
infrastructure investment required, automatic scaling with unlimited resources available on-demand, high
reliability with built-in redundancy and disaster recovery, global accessibility with data centers worldwide,
automatic updates and maintenance handled by provider, strong security with expertise and resources of
major providers, and flexibility to use services as needed without long-term commitments. It's ideal for
startups, small businesses, and applications with variable workloads.


■ Cost-effective: Pay only for what you use
■ No capital investment: No hardware to purchase or maintain
■ Scalability: Auto-scale resources instantly
■ Reliability: Multiple redundancies and 99.99% uptime SLAs
■ Global reach: Access from anywhere with internet
■ Maintenance-free: Provider handles updates and patches
■ Flexibility: No long-term contracts required


Q4: What are the disadvantages and security concerns of Public Cloud?

Answer: Public Cloud limitations include: shared infrastructure means potential security risks and data
breaches affecting multiple customers, less control over infrastructure and configurations, compliance
challenges for regulated industries like healthcare and finance, potential performance issues due to
shared resources (noisy neighbor problem), vendor lock-in with difficulty switching providers, limited
customization options for specific requirements, and concerns about data privacy and sovereignty when
data is stored in other countries.


■ Security: Shared infrastructure increases attack surface
■ Data privacy: Third-party provider has access to data
■ Compliance: May not meet regulatory requirements
■ Performance: Shared resources can cause unpredictable latency
■ Vendor lock-in: Difficult and costly to migrate
■ Limited control: Can't customize infrastructure deeply
■ Data sovereignty: Data may be stored in other countries

Document information

Uploaded on
March 22, 2026
Number of pages
10
Written in
2025/2026
Type
Class notes
Professor(s)
Amit mittal
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