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Cloud Computing: Concepts,
Models & Future
• Understanding the Technology Behind the Modern Digital Era
• Your Name | Date
Introduction
• Delivering computing services (servers, storage, databases, networking, software) over the internet.
• Eliminates need for owning physical infrastructure.
• Examples: AWS, Microsoft Azure, Google Cloud.
Evolution of Cloud Computing
• 1960s: Concept of time-sharing & virtual machines.
• 1999: Salesforce pioneered delivering apps via the internet.
• 2006: AWS launched EC2 & S3.
• Present: AI, big data, and edge computing integration.
Characteristics
• On-demand self-service.
• Broad network access.
• Resource pooling.
• Rapid elasticity.
• Measured service.
Cloud Deployment Models
• Public Cloud: Shared infrastructure, pay-as-you-go (AWS, Azure).
• Private Cloud: Dedicated to one organization.
• Hybrid Cloud: Mix of public & private.
• Community Cloud: Shared by similar organizations.
Cloud Service Models
• IaaS: Infrastructure as a Service – virtual servers & storage.
• PaaS: Platform as a Service – development platforms.
• SaaS: Software as a Service – ready-to-use apps.
Infrastructure as a Service (IaaS)
• Example: AWS EC2, Google Compute Engine.
• Control over OS, storage, networking.
• Flexible and scalable.
Platform as a Service (PaaS)
• Example: Google App Engine, AWS Elastic Beanstalk.
• Developers focus on code, not infrastructure.
• Reduces deployment complexity.
Software as a Service (SaaS)
• Example: Gmail, Microsoft 365, Zoom.
• Accessible via web browser.
• Subscription-based pricing.
Benefits of Cloud Computing
• Cost efficiency.
• Scalability.
• Accessibility from anywhere.
• Disaster recovery.
• Faster deployment.
Challenges in Cloud Computing
• Security & privacy concerns.
• Downtime & outages.
• Vendor lock-in.
• Compliance & legal issues.
Cloud Security
• Encryption (at rest & in transit).
• Identity and access management.
• Security monitoring & incident response.
• Shared responsibility model.
Cloud Providers Overview
• AWS: Leader in market share, diverse services.
• Azure: Strong in enterprise integration.
• Google Cloud: AI and data analytics strength.
• Other providers: IBM Cloud, Oracle Cloud.
Cloud in Business Applications
• E-commerce platforms.
• Streaming services (Netflix).
• Banking & fintech.
• Healthcare data management.
Virtualization & Containers
• Virtualization: Multiple OS instances on one physical server.
• Containers: Lightweight, portable applications (Docker, Kubernetes).
Cloud & Emerging Technologies
• AI/ML workloads.
• IoT device integration.
• Blockchain on cloud.
• Edge computing synergy.
Cloud Cost Management
• Pay-as-you-go pricing.
• Reserved instances & savings plans.
• Resource monitoring tools.
Cloud Migration Strategies
• Lift and shift.
• Refactoring applications.
• Hybrid migration.
• Backup and rollback planning.
Case Study: Netflix
• Netflix migration to AWS.
• Scalability for millions of users.
• Reduced downtime.
• Cost-efficient content delivery.
Future Trends & Conclusion
• Multi-cloud adoption.
• Serverless computing growth.
• Quantum computing in the cloud.
• Sustainability & green cloud initiatives.
• Cloud computing transforms how organizations operate.

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cloud_computing_Infrastucture_as_cloud_p

  • 1. Cloud Computing: Concepts, Models & Future • Understanding the Technology Behind the Modern Digital Era • Your Name | Date
  • 2. Introduction • Delivering computing services (servers, storage, databases, networking, software) over the internet. • Eliminates need for owning physical infrastructure. • Examples: AWS, Microsoft Azure, Google Cloud.
  • 3. Evolution of Cloud Computing • 1960s: Concept of time-sharing & virtual machines. • 1999: Salesforce pioneered delivering apps via the internet. • 2006: AWS launched EC2 & S3. • Present: AI, big data, and edge computing integration.
  • 4. Characteristics • On-demand self-service. • Broad network access. • Resource pooling. • Rapid elasticity. • Measured service.
  • 5. Cloud Deployment Models • Public Cloud: Shared infrastructure, pay-as-you-go (AWS, Azure). • Private Cloud: Dedicated to one organization. • Hybrid Cloud: Mix of public & private. • Community Cloud: Shared by similar organizations.
  • 6. Cloud Service Models • IaaS: Infrastructure as a Service – virtual servers & storage. • PaaS: Platform as a Service – development platforms. • SaaS: Software as a Service – ready-to-use apps.
  • 7. Infrastructure as a Service (IaaS) • Example: AWS EC2, Google Compute Engine. • Control over OS, storage, networking. • Flexible and scalable.
  • 8. Platform as a Service (PaaS) • Example: Google App Engine, AWS Elastic Beanstalk. • Developers focus on code, not infrastructure. • Reduces deployment complexity.
  • 9. Software as a Service (SaaS) • Example: Gmail, Microsoft 365, Zoom. • Accessible via web browser. • Subscription-based pricing.
  • 10. Benefits of Cloud Computing • Cost efficiency. • Scalability. • Accessibility from anywhere. • Disaster recovery. • Faster deployment.
  • 11. Challenges in Cloud Computing • Security & privacy concerns. • Downtime & outages. • Vendor lock-in. • Compliance & legal issues.
  • 12. Cloud Security • Encryption (at rest & in transit). • Identity and access management. • Security monitoring & incident response. • Shared responsibility model.
  • 13. Cloud Providers Overview • AWS: Leader in market share, diverse services. • Azure: Strong in enterprise integration. • Google Cloud: AI and data analytics strength. • Other providers: IBM Cloud, Oracle Cloud.
  • 14. Cloud in Business Applications • E-commerce platforms. • Streaming services (Netflix). • Banking & fintech. • Healthcare data management.
  • 15. Virtualization & Containers • Virtualization: Multiple OS instances on one physical server. • Containers: Lightweight, portable applications (Docker, Kubernetes).
  • 16. Cloud & Emerging Technologies • AI/ML workloads. • IoT device integration. • Blockchain on cloud. • Edge computing synergy.
  • 17. Cloud Cost Management • Pay-as-you-go pricing. • Reserved instances & savings plans. • Resource monitoring tools.
  • 18. Cloud Migration Strategies • Lift and shift. • Refactoring applications. • Hybrid migration. • Backup and rollback planning.
  • 19. Case Study: Netflix • Netflix migration to AWS. • Scalability for millions of users. • Reduced downtime. • Cost-efficient content delivery.
  • 20. Future Trends & Conclusion • Multi-cloud adoption. • Serverless computing growth. • Quantum computing in the cloud. • Sustainability & green cloud initiatives. • Cloud computing transforms how organizations operate.