- Introduction to Cloud Computing
- Definition and characteristics of cloud computing
- Evolution and history of cloud computing
- Benefits and challenges of cloud computing
- Cloud Service Models
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
- Function as a Service (FaaS)/Serverless Computing
- Cloud Deployment Models
- Public cloud
- Private cloud
- Hybrid cloud
- Community cloud
- Cloud Infrastructure Components
- Virtualization
- Hypervisors
- Containers (e.g., Docker, Kubernetes)
- Orchestration and management tools (e.g., Terraform, Ansible)
- Cloud Providers and Services
- Major cloud service providers (e.g., AWS, Azure, Google Cloud Platform)
- Overview of core services offered by cloud providers (compute, storage, networking, databases, etc.)
- Specialty services (AI/ML, IoT, big data, serverless, etc.)
- Cloud Security
- Shared responsibility model
- Identity and Access Management (IAM)
- Encryption and data protection
- Compliance and governance
- Networking in the Cloud
- Virtual Private Cloud (VPC)
- Subnets, routing tables, and security groups
- Load balancing and auto-scaling
- Content Delivery Networks (CDNs)
- Storage in the Cloud
- Object storage vs. block storage
- Amazon S3, Azure Blob Storage, Google Cloud Storage
- File storage solutions (Amazon EFS, Azure Files)
- Database services (RDS, DynamoDB, Cosmos DB, etc.)
- Compute Services
- Virtual machines (EC2, Azure Virtual Machines, Google Compute Engine)
- Serverless computing (AWS Lambda, Azure Functions, Google Cloud Functions)
- Container services (Amazon ECS, Azure Kubernetes Service, Google Kubernetes Engine)
- Monitoring, Logging, and Analytics
- Cloud monitoring tools (CloudWatch, Azure Monitor, Google Cloud Monitoring)
- Logging services (CloudTrail, Azure Log Analytics, Google Cloud Logging)
- Data analytics and visualization services (Amazon Redshift, Azure HDInsight, Google BigQuery)
- Cost Management and Optimization
- Pricing models (on-demand, reserved instances, spot instances, etc.)
- Cost estimation and budgeting
- Strategies for optimizing cloud costs
- Migration to the Cloud
- Assessing workloads for cloud migration
- Lift-and-shift vs. re-architecture approaches
- Tools and best practices for cloud migration
- DevOps and Continuous Integration/Continuous Deployment (CI/CD)
- DevOps principles and practices in the cloud
- CI/CD pipelines using cloud-native tools (AWS CodePipeline, Azure DevOps, Google Cloud Build)
- Serverless Computing and Microservices
- Architectural patterns for building serverless applications
- Benefits and challenges of microservices architecture
- Managing microservices in the cloud environment
- Emerging Trends and Technologies
- Edge computing
- Multi-cloud and hybrid-cloud strategies
- Quantum computing and its implications for the cloud
- Case Studies and Real-World Applications
- Examining real-world examples of successful cloud implementations
- Best practices and lessons learned from cloud adoption journeys