Cloud Native Development

Cloud Native Development is an approach to building and running applications that fully exploits the advantages of the cloud computing model, focusing on speed, scalability, and resilience. This methodology is characterized by the use of key technologies and practices such as microservices architecture, where applications are decomposed into small, independent services; containerization (e.g., Docker) to package these services and their dependencies; and container orchestration (e.g., Kubernetes) to manage them dynamically across distributed systems. By embracing DevOps principles and continuous integration/continuous deployment (CI/CD) pipelines, cloud-native development enables organizations to build, deploy, and iterate on software rapidly and reliably in modern, dynamic environments like public, private, and hybrid clouds.

1. Foundations of Cloud Native
   1. Defining Cloud Native
      1. Core Principles
         1. Scalability
            1. Horizontal Scaling
            2. Vertical Scaling
            3. Auto-Scaling
            4. Elastic Resource Management
         2. Resilience
            1. Fault Tolerance
            2. Self-Healing Systems
            3. Redundancy
            4. Graceful Degradation
         3. Agility
            1. Rapid Deployment
            2. Iterative Development
            3. Continuous Delivery
            4. Fast Feedback Loops
         4. Portability
            1. Platform Independence
            2. Containerization for Portability
            3. Cloud Provider Abstraction
            4. Environment Consistency
      2. The Twelve-Factor App Methodology
         1. Codebase
         2. Dependencies
         3. Configuration
         4. Backing Services
         5. Build, Release, Run
         6. Processes
         7. Port Binding
         8. Concurrency
         9. Disposability
         10. Dev/Prod Parity
         11. Logs
         12. Admin Processes
      3. Cloud Native Computing Foundation (CNCF)
         1. CNCF Landscape
         2. Graduated Projects
         3. Incubating Projects
         4. Sandbox Projects
      4. Comparison with Traditional Architecture
         1. Monolithic Architecture
            1. Characteristics of Monoliths
            2. Limitations of Monoliths
            3. Transitioning Strategies
         2. Service-Oriented Architecture (SOA)
            1. SOA Principles
            2. Differences from Microservices
            3. Evolution to Cloud Native
   2. Cloud Computing Models
      1. Infrastructure as a Service (IaaS)
         1. Key Features
         2. Use Cases
         3. Leading Providers
         4. Cost Models
      2. Platform as a Service (PaaS)
         1. Key Features
         2. Use Cases
         3. Leading Providers
         4. Development Frameworks
      3. Software as a Service (SaaS)
         1. Key Features
         2. Use Cases
         3. Leading Providers
         4. Integration Patterns
      4. Function as a Service (FaaS)
         1. Key Features
         2. Use Cases
         3. Leading Providers
         4. Event-Driven Execution
      5. Container as a Service (CaaS)
         1. Managed Container Platforms
         2. Orchestration Services
         3. Use Cases
   3. Cloud Deployment Models
      1. Public Cloud
         1. Characteristics
         2. Advantages and Disadvantages
         3. Security Considerations
      2. Private Cloud
         1. Characteristics
         2. Advantages and Disadvantages
         3. Implementation Options
      3. Hybrid Cloud
         1. Integration Strategies
         2. Use Cases
         3. Data Synchronization
      4. Multi-Cloud
         1. Benefits
         2. Challenges
         3. Management Strategies
   4. Cloud Native Ecosystem
      1. Container Runtimes
      2. Orchestration Platforms
      3. Service Meshes
      4. Observability Tools
      5. Security Solutions