Operating Systems

  1. Operating Systems in Virtualization and Cloud Computing
    1. Virtualization
      1. Definition and Importance
        1. Abstracting physical hardware resources
          1. Running multiple operating systems simultaneously
          2. Types of Virtualization
            1. Hardware virtualization
              1. Full virtualization
                1. Para-virtualization
                  1. Hardware-assisted virtualization
                  2. Software virtualization
                    1. Application virtualization
                      1. Network virtualization
                      2. Storage virtualization
                        1. Desktop virtualization
                        2. Hypervisors
                          1. Definition and role in virtualization
                            1. Types of Hypervisors
                              1. Type 1 (bare-metal)
                                1. Direct access to hardware
                                  1. Examples include VMware ESXi, Microsoft Hyper-V
                                  2. Type 2 (hosted)
                                    1. Run on top of another OS
                                      1. Examples include Oracle VM VirtualBox, VMware Workstation
                                    2. Functions
                                      1. Resource isolation and management
                                        1. VM lifecycle management
                                          1. Security and isolation enforcement
                                      2. Cloud Computing
                                        1. Definition and Characteristics
                                          1. On-demand resource availability
                                            1. Scalable and flexible computing power
                                            2. Service Models
                                              1. Infrastructure as a Service (IaaS)
                                                1. Providing virtualized compute resources
                                                  1. Examples include Amazon EC2, Google Compute Engine
                                                  2. Platform as a Service (PaaS)
                                                    1. Providing application development platforms
                                                      1. Examples include Google App Engine, Microsoft Azure App Services
                                                      2. Software as a Service (SaaS)
                                                        1. Delivering software over the internet
                                                          1. Examples include Salesforce, Google Workspace
                                                        2. Deployment Models
                                                          1. Public Cloud
                                                            1. Services delivered over the public internet
                                                              1. Shared resources and infrastructure
                                                              2. Private Cloud
                                                                1. Dedicated infrastructure for a single organization
                                                                  1. Increased control and privacy
                                                                  2. Hybrid Cloud
                                                                    1. Combination of public and private clouds
                                                                      1. Flexibility and scalability benefits
                                                                      2. Community Cloud
                                                                        1. Shared infrastructure among several organizations
                                                                          1. Common goals and compliance requirements
                                                                        2. Operating System Roles in Cloud Computing
                                                                          1. Management of Physical and Virtual Resources
                                                                            1. Efficient use of hardware through virtualization
                                                                            2. Automation and Orchestration
                                                                              1. Streamlining deployments with containers and configuration management
                                                                              2. Security and Compliance
                                                                                1. Implementation of security protocols and compliance checks
                                                                                2. Load Balancing and Scaling
                                                                                  1. Dynamic resource allocation for performance optimization
                                                                                  2. Monitoring and Logging
                                                                                    1. Tracking resource usage and system performance
                                                                                3. Containerization
                                                                                  1. Definition and Significance
                                                                                    1. Lightweight virtualization
                                                                                      1. Packaging applications with their dependencies
                                                                                      2. Key Concepts
                                                                                        1. Containers vs. Virtual Machines
                                                                                          1. Differences in isolation and overhead
                                                                                          2. Container orchestration
                                                                                            1. Tools like Kubernetes and Docker Swarm
                                                                                          3. Benefits of Containerization
                                                                                            1. Portability between environments
                                                                                              1. Efficient resource use
                                                                                                1. Simplified deployment and management
                                                                                                2. Operating System's Role in Containerization
                                                                                                  1. Kernel-level features for isolation (e.g., namespaces, cgroups)
                                                                                                    1. Support for container runtimes and orchestration platforms
                                                                                                  2. Security in Virtualized and Cloud Environments
                                                                                                    1. Hypervisor Security
                                                                                                      1. Protecting the hypervisor from attacks
                                                                                                        1. Ensuring VM isolation
                                                                                                        2. Data Security
                                                                                                          1. Encryption of data at rest and in transit
                                                                                                            1. Identity and access management
                                                                                                            2. Compliance and Regulation
                                                                                                              1. Meeting industry-specific regulations and standards
                                                                                                              2. Threat Detection and Response
                                                                                                                1. Implementing real-time monitoring and intrusion detection systems
                                                                                                              3. Challenges and Considerations
                                                                                                                1. Performance Overheads
                                                                                                                  1. Balancing virtualization performance costs
                                                                                                                  2. Interoperability and Compatibility
                                                                                                                    1. Ensuring different systems work seamlessly together
                                                                                                                    2. Data Migration and Backup
                                                                                                                      1. Strategies for transferring and securing data in clouds
                                                                                                                      2. Cost Management
                                                                                                                        1. Tracking and optimizing resource consumption to manage expenses