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Scope of Cloud computing
Core Services
- Infrastructure as a Service (IaaS): Offers fundamental computing resources like servers, storage, and networking on a pay-per-use basis.
- Platform as a Service (PaaS): Provides a development and deployment environment for building and running applications without managing the underlying infrastructure.
- Software as a Service (SaaS): Delivers software applications over the internet, eliminating the need for local installation and maintenance.
Objectives of Cloud computing
Core Objectives
- Cost Reduction: By eliminating the need for on-premises hardware and infrastructure, cloud computing significantly reduces capital and operational expenditures.
- Scalability: Cloud services offer the ability to rapidly scale resources up or down to meet fluctuating demands, ensuring optimal resource utilization.
- Flexibility: Provides access to a wide range of services and resources on-demand, enabling businesses to adapt to changing needs.
- Accessibility: Allows users to access data and applications from anywhere with an internet connection.
- Efficiency: Optimizes resource utilization through shared infrastructure and load balancing.
- Disaster Recovery: Offers robust data backup and recovery options, minimizing business disruptions.
Unit 1: Introduction to Cloud Computing
Definition and Characteristics
- What is cloud computing?
- Key characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, measured service.
- Benefits and challenges of cloud computing.
Evolution of Cloud Computing
- Historical perspective.
- Comparison with traditional computing models.
- Driving factors behind cloud adoption.
Unit 2: Cloud Service Models
Infrastructure as a Service (IaaS)
- Definition and examples.
- Key components: virtual machines, storage, networks.
- Use cases and benefits.
Platform as a Service (PaaS)
- Definition and examples.
- Key components: runtime environment, development tools, databases.
- Use cases and benefits.
Software as a Service (SaaS)
- Definition and examples.
- Key components: application software, user interface.
- Use cases and benefits.
Unit 3: Cloud Deployment Models
Public Cloud
- Definition and characteristics.
- Advantages and disadvantages.
- Major public cloud providers: AWS, Azure, Google Cloud.
Private Cloud
- Definition and characteristics.
- Advantages and disadvantages.
- Use cases and deployment strategies.
Hybrid Cloud
- Definition and characteristics.
- Advantages and disadvantages.
- Integration and management of hybrid cloud environments.
Community Cloud
- Definition and characteristics.
- Advantages and disadvantages.
- Use cases and deployment strategies.
Unit 4: Cloud Architecture
Components of Cloud Architecture
- Front-end and back-end platforms.
- Cloud-based delivery models.
- Service-oriented architecture (SOA) and microservices.
Virtualization
- Role of virtualization in cloud computing.
- Types of virtualization: server, storage, network.
- Virtualization technologies: hypervisors, containers.
Unit 5: Cloud Storage and Data Management
Cloud Storage
- Types of cloud storage: object storage, block storage, file storage.
- Cloud storage providers: AWS S3, Azure Blob Storage, Google Cloud Storage.
- Data redundancy and replication.
Data Management
- Data migration strategies.
- Data backup and recovery.
- Data security and compliance in the cloud.
Unit 6: Cloud Security
Security Challenges in Cloud Computing
- Data breaches, identity theft, account hijacking.
- Shared responsibility model.
Cloud Security Solutions
- Encryption, firewalls, identity and access management (IAM).
- Security as a service (SECaaS).
- Best practices for securing cloud environments.
Unit 7: Cloud Services and Applications
Cloud-Based Services
- Content delivery networks (CDNs).
- Database as a service (DBaaS).
- Big data and analytics in the cloud.
Cloud Applications
- Collaboration tools (e.g., Google Workspace, Microsoft 365).
- Customer relationship management (CRM) systems (e.g., Salesforce).
- Enterprise resource planning (ERP) systems (e.g., SAP, Oracle).
Unit 8: Cloud Management and Monitoring
Cloud Management Tools
- Cloud management platforms (CMPs).
- Automation and orchestration tools.
- Cost management and billing.
Monitoring and Performance Management
- Importance of monitoring cloud services.
- Tools for monitoring (e.g., CloudWatch, Azure Monitor).
- Performance tuning and optimization.
Unit 9: Cloud Computing Use Cases
Industry Use Cases
- Healthcare, finance, retail, education.
- Case studies of cloud adoption in various industries.
Emerging Trends
- Edge computing and fog computing.
- Internet of Things (IoT) and cloud integration.
- AI and machine learning in the cloud.
Unit 10: Future of Cloud Computing
Trends and Predictions
- Serverless computing.
- Multi-cloud strategies.
- Quantum computing and its impact on the cloud.
Ethical and Legal Considerations
- Data privacy laws and regulations (e.g., GDPR, CCPA).
- Ethical issues in cloud computing.
- Compliance and governance.