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Questions and Answers
What characterizes cloud computing's 'On-Demand Self-Service'?
Which model of cloud computing provides a platform for application development without managing infrastructure?
What is a main advantage of using cloud computing?
What is a characteristic of the Resource Pooling concept in cloud computing?
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What does the term 'Vendor Lock-In' refer to in the context of cloud computing?
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Which deployment model combines both public and private cloud elements?
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Which of the following is a challenge associated with cloud computing?
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What is the 'Measured Service' characteristic in cloud computing?
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Study Notes
Definition
- Cloud computing is the delivery of computing services over the internet (the "cloud").
- Services include storage, servers, databases, networking, software, and analytics.
Key Characteristics
- On-Demand Self-Service: Users can provision services independently (e.g., storage, processing power).
- Broad Network Access: Services are accessible via the internet across various devices (e.g., smartphones, tablets, laptops).
- Resource Pooling: Providers use a multi-tenant model to serve multiple customers by pooling resources.
- Rapid Elasticity: Resources can be scaled up or down quickly, according to demand.
- Measured Service: Resource usage is monitored, controlled, and reported for transparency and billing.
Service Models
-
Infrastructure as a Service (IaaS):
- Virtualized computing resources over the internet.
- Example: Amazon EC2, Google Compute Engine.
-
Platform as a Service (PaaS):
- Provides a platform allowing customers to develop, run, and manage applications without dealing with infrastructure.
- Example: Google App Engine, Microsoft Azure App Services.
-
Software as a Service (SaaS):
- Software is hosted in the cloud and accessed via the internet.
- Example: Google Workspace, Salesforce.
Deployment Models
- Public Cloud: Services are offered over the public internet and available to anyone. (e.g., AWS, Google Cloud)
- Private Cloud: Exclusively used by a single organization, offering more control and security.
- Hybrid Cloud: Combines public and private clouds, allowing data and applications to be shared between them.
- Community Cloud: Shared infrastructure for a specific community with common concerns.
Benefits
- Cost Efficiency: Reduces the cost of hardware and maintenance; pay-as-you-go model.
- Scalability: Easily scale resources up or down as needed.
- Accessibility: Access services from anywhere with an internet connection.
- Disaster Recovery: Enhance data backup and recovery solutions.
Challenges
- Security Risks: Concerns regarding data privacy, regulatory compliance, and data breaches.
- Downtime: Risk of service outages can impact business operations.
- Limited Control: Less control over infrastructure and operations compared to on-premise solutions.
- Vendor Lock-In: Difficulty in transferring data or applications between different cloud providers.
Trends
- Edge Computing: Processing data closer to the source to reduce latency.
- Multi-Cloud Strategies: Using services from multiple cloud providers to avoid reliance on one vendor.
- Serverless Computing: Focus on deploying applications without managing the underlying infrastructure.
- Artificial Intelligence Integration: Leveraging AI to enhance cloud services and analytics.
Security Measures
- Encryption: Protects data both at rest and in transit.
- Identity and Access Management (IAM): Controls who can access cloud resources.
- Regular Audits: Assessing security protocols and compliance.
Understanding these aspects provides a foundational knowledge of cloud computing, its features, benefits, and challenges.
Cloud Computing Definition
- Cloud computing delivers computing services over the internet as a network of remote servers and data centers.
- Services include storage, servers, databases, networking, software, and analytics.
Cloud Computing Characteristics
- Users can provision services independently (e.g., storage, processing power).
- Services are accessible via the internet from various devices (e.g., smartphones, tablets, laptops).
- Providers use a multi-tenant model to serve multiple customers by pooling resources.
- Resources can be scaled up or down quickly based on demand.
- Resources usage is monitored, controlled, and reported for transparency and billing.
Cloud Service Models
-
Infrastructure as a Service (IaaS):
- Offers virtualized computing resources over the internet (e.g., Amazon EC2, Google Compute Engine).
-
Platform as a Service (PaaS):
- Provides a platform for developing, running, and managing applications without dealing with infrastructure (e.g., Google App Engine, Microsoft Azure App Services).
-
Software as a Service (SaaS):
- Software is hosted in the cloud and accessed via the internet (e.g., Google Workspace, Salesforce).
Cloud Deployment Models
- Public Cloud: Services are offered over the public internet and available to anyone (e.g., AWS, Google Cloud).
- Private Cloud: Exclusively used by a single organization for more control and security.
- Hybrid Cloud: Combines public and private clouds for shared data and applications.
- Community Cloud: Shared infrastructure for a specific community with common concerns.
Benefits of Cloud Computing
- Cost Efficiency: Reduces hardware and maintenance costs with a pay-as-you-go model.
- Scalability: Easily increases or decreases resources based on demand.
- Accessibility: Services can be accessed from anywhere with an internet connection.
- Disaster Recovery: Enhances data backup and recovery solutions.
Challenges of Cloud Computing
- Security Risks: Concerns regarding data privacy, regulatory compliance, and data breaches.
- Downtime: Service outages can impact business operations.
- Limited Control: Less control over infrastructure and operations compared to on-premise solutions.
- Vendor Lock-In: Difficulty in transferring data or applications between different cloud providers.
Emerging Trends in Cloud Computing
- Edge Computing: Processing data closer to the source to reduce latency.
- Multi-Cloud Strategies: Using services from multiple cloud providers to avoid reliance on a single vendor.
- Serverless Computing: Deploys applications without managing underlying infrastructure.
- Artificial Intelligence Integration: Utilizing AI to enhance cloud services and analytics.
Cloud Security Measures
- Encryption: Protects data both at rest and in transit.
- Identity and Access Management (IAM): Controls user access to cloud resources.
- Regular Audits: Assesses security protocols and compliance.
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Description
Explore the fundamental concepts of cloud computing, including its definition, key characteristics, and various service models. Understand how cloud services like IaaS and PaaS transform the way technology is delivered and consumed over the internet.