Computer Science
Grade 11
20 min
Cloud Deployment Models: Public, Private, and Hybrid Clouds
Explain the different cloud deployment models: public, private, and hybrid clouds.
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1
Introduction & Learning Objectives
Learning Objectives
Define and differentiate between public, private, and hybrid cloud deployment models.
Analyze the key characteristics (cost, security, scalability, control) of each deployment model.
Evaluate real-world scenarios to determine the most appropriate cloud deployment model for a given set of requirements.
Explain the concept of multi-tenancy and its relevance to public clouds.
Describe the role of virtualization as the foundational technology for all cloud models.
Compare the financial trade-offs between Capital Expenditure (CapEx) and Operational Expenditure (OpEx) for different cloud models.
Diagram the basic architecture of a hybrid cloud, illustrating the interaction between public and private resources.
Ever wonder where your favorite online game'...
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Key Concepts & Vocabulary
TermDefinitionExample
Public CloudCloud computing services owned and operated by a third-party provider (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform) and delivered over the public internet. Resources like servers and storage are shared among multiple organizations, a concept known as multi-tenancy.A startup developer signs up for an AWS account and deploys their new web application on virtual servers that physically reside in an Amazon data center, sharing the underlying hardware with other AWS customers.
Private CloudCloud computing resources used exclusively by a single business or organization. A private cloud can be physically located in the company’s on-site data center or hosted by a third-party service provider, but the infrastructure is dedicated.A hospital s...
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Core Syntax & Patterns
The CAPEX vs. OPEX Financial Model
Private Cloud ⇒ High Capital Expenditure (CapEx). Public Cloud ⇒ High Operational Expenditure (OpEx).
Use this to analyze financial strategy. CapEx is the upfront spending on physical infrastructure (buying servers). OpEx is the ongoing cost of running a service (paying a monthly cloud bill). Organizations choose public clouds to avoid large CapEx and pay as they go, while others choose private clouds to leverage existing investments or for predictable long-term costs.
The Control vs. Agility Spectrum
Control/Security: Private > Hybrid > Public. Agility/Scalability: Public > Hybrid > Private.
Use this spectrum to match a model to business needs. When an application requires maximum control over security and data sovereignty (e.g...
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Challenging
A financial services company is evaluating cloud models. They have a core transaction processing system that runs 24/7 at a very predictable load. They also have a data analytics team that needs access to massive, short-term computational power for a few hours each week to run complex models. Which deployment strategy provides the most optimal cost and performance structure for this combined workload?
A.Public Cloud for both workloads to ensure scalability.
B.Hybrid Cloud: Private for the stable transaction system, Public for the bursty analytics workload.
C.Private Cloud for both workloads to maximize security, overprovisioning for the analytics team.
D.Move the transaction system to the public cloud and run analytics on-premises.
Challenging
A common argument for the public cloud is that it abstracts away the complexities of managing physical hardware. How does the concept of virtualization serve as the critical first step in this abstraction process across ALL cloud models?
A.Virtualization physically removes the hardware, replacing it with software.
B.Virtualization decouples the software (OS, applications) from the underlying physical hardware, allowing workloads to be treated as portable files (VMs).
C.Virtualization is a billing model that divides hardware costs among multiple users.
D.Virtualization only applies to networking, creating virtual private networks (VPNs) for security.
Challenging
A CTO argues, 'We should use a hybrid cloud. Our base load of 100 servers will run on our new private cloud (high CapEx). For our peak load, which requires an extra 400 servers for one month a year, we will use cloud bursting to a public cloud (OpEx).' From a financial algorithm perspective, why is this an effective strategy?
A.It optimizes TCO by using CapEx for the predictable base load and OpEx for the unpredictable peak load, avoiding massive overprovisioning.
B.It converts all CapEx to OpEx, simplifying the budget.
C.It minimizes data egress costs by keeping all data in the public cloud.
D.It ensures the highest level of security by running the peak load on dedicated hardware.
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