Cloud Computing

1. What is Cloud Computing?

Delivery of computing services (servers, storage, databases, networking, software) over the internet (“cloud”).

• Key Features:
  • On-demand self-service.
  • Broad network access.
  • Resource pooling.
  • Rapid elasticity.
  • Measured service.

2. Types of Cloud Computing

• Based on Deployment:
  1. Public Cloud: Shared resources accessible to multiple users (e.g., AWS, Azure).
  2. Private Cloud: Dedicated resources for a single organization.
  3. Hybrid Cloud: Combination of public and private clouds.
• Based on Service Models:
  1. IaaS (Infrastructure as a Service): Virtual machines, storage, and networks (e.g., AWS EC2, Google Compute Engine).
  2. PaaS (Platform as a Service): Development platforms and tools (e.g., Google App Engine, AWS Elastic Beanstalk).
  3. SaaS (Software as a Service): Software applications (e.g., Gmail, Microsoft 365).

3. Advantages of Cloud Computing

• Cost-effective: Pay-as-you-go model.
• Scalability: Resources can be scaled up or down.
• Accessibility: Access from anywhere with an internet connection.
• Disaster Recovery: Data is backed up and secure.
• Reduced Maintenance: No need to maintain physical servers.

4. Challenges of Cloud Computing

• Data Security and Privacy: Risk of breaches.
• Downtime: Internet dependency can cause disruptions.
• Limited Control: Users rely on service providers.
• Compliance Issues: Regulatory challenges.

5. Key Cloud Computing Technologies

• Virtualization: Creating virtual instances of resources (e.g., Virtual Machines).
• Containers: Lightweight virtual environments (e.g., Docker, Kubernetes).
• Serverless Computing: Running applications without managing servers (e.g., AWS Lambda).

6. Cloud Storage Services

• AWS S3 (Amazon Simple Storage Service).
• Google Cloud Storage.
• Microsoft Azure Blob Storage.
• Dropbox, Google Drive.

7. Cloud Service Providers

• Amazon Web Services (AWS): Market leader with services like EC2, S3.
• Microsoft Azure: Offers hybrid cloud solutions.
• Google Cloud Platform (GCP): Focuses on AI and big data.

8. Virtualization vs. Cloud Computing

• Virtualization: Technology to create virtual resources.
• Cloud Computing: Delivery of services using virtualization as a core.

9. Applications of Cloud Computing

• Healthcare: Telemedicine, data storage.
• Finance: Fraud detection, data analysis.
• Education: Online learning platforms.
• Gaming: Online multiplayer games.
• Business: Collaboration tools (e.g., Slack, Zoom).

10. Cloud Computing Models Comparison

11. Quick Revision Tips

• Understand the difference between IaaS, PaaS, and SaaS.
• Focus on types of cloud deployment (public, private, hybrid).
• Remember examples of service providers and their offerings.
• Know the challenges like security risks and downtime.

Cheat Sheet Summary

Applications: Healthcare, finance, education, gaming.

Deployment Models: Public, Private, Hybrid.

Service Models: IaaS, PaaS, SaaS.

Key Technologies: Virtualization, Containers, Serverless Computing.

Providers: AWS, Azure, Google Cloud.

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