Serverless Technologies

Serverless technologies represent a cloud computing execution model in which the cloud provider dynamically manages the allocation and provisioning of servers, abstracting this infrastructure away from the developer. Instead of deploying applications to pre-configured servers, developers write and deploy code in the form of functions or small services, which are executed on-demand in response to specific events or requests. This approach, often centered around Functions as a Service (FaaS), enables automatic scaling and a pay-per-execution pricing model, ensuring resources are only consumed when the code is actively running, thereby allowing teams to focus purely on application logic rather than infrastructure management.

1. Introduction to Serverless Computing
   1. Defining Serverless
      1. Core Principles
         1. Abstraction of Infrastructure Management
         2. Automatic Scaling and Resource Allocation
         3. Event-Driven Execution Model
         4. Pay-per-Use Billing
      2. Abstraction of Servers
         1. No Server Provisioning or Management
         2. Managed Runtime Environments
      3. Event-Driven Execution
         1. Trigger-Based Invocation
         2. Stateless Processing
   2. Evolution of Cloud Computing
      1. From Physical Servers to Virtual Machines
         1. On-Premises Data Centers
         2. Virtualization Technologies
      2. Containers and Microservices
         1. Containerization Concepts
         2. Microservices Architecture
         3. Orchestration Tools
      3. The Rise of Serverless
         1. Drivers for Serverless Adoption
         2. Key Milestones in Serverless Evolution
   3. Serverless vs. Traditional Architectures
      1. Comparison with Monoliths
         1. Deployment Complexity
         2. Scalability and Maintenance
      2. Comparison with Microservices on Servers
         1. Infrastructure Management Differences
         2. Scaling and Resource Utilization
      3. Comparison with Platform as a Service
         1. Abstraction Level
         2. Developer Experience
         3. Use Cases and Limitations
   4. Key Benefits of Serverless
      1. Reduced Operational Overhead
         1. No Server Maintenance
         2. Automated Patching and Updates
      2. Automatic Scaling
         1. Demand-Based Scaling
         2. Handling Spiky Workloads
      3. Pay-per-Use Cost Model
         1. Billing Based on Actual Usage
         2. Cost Efficiency for Variable Workloads
      4. Increased Developer Velocity
         1. Focus on Business Logic
         2. Faster Time to Market
   5. Common Misconceptions
      1. Physical Infrastructure Still Exists
         1. Responsibility Shift to Cloud Provider
         2. Transparency of Underlying Servers
      2. Serverless Complexity Limitations
         1. Suitability for Complex Workloads
         2. Real-World Enterprise Use Cases
      3. Vendor Lock-in Concerns
         1. Proprietary APIs and Services
         2. Portability Considerations