218 Serverless Architecture vs Traditional Server-based PDF

218 Serverless Architecture vs Traditional Server-based ** Serverless architecture and traditional server-based architecture represent two ** **...

218 Serverless Architecture vs Traditional Server-based ** Serverless architecture and traditional server-based architecture represent two ** ** ** * different approaches to deploying and managing applications and services, especially * * * * * * in cloud computing. * * Serverless Architecture * ** Definition: In serverless architecture, the cloud provider dynamically manages ** ** ** *** ** the allocation and provisioning of servers. * * Developers write and deploy code without worrying about the underlying ~~ infrastructure. ~~ * ** Characteristics: ** *** Dynamic Scaling: Automatically scales up or down based on the demand. * ** *** ** * ** Billing Model: Costs are based on actual usage — for instance, the number ** *** *** of function executions or execution time. ** Stateless: Functions are typically stateless and executed in response to ** *** ** events. * ** Example: A photo sharing application where the backend (like resizing ** *** *** *** uploaded images or processing metadata) is handled by serverless *** *** *** *** functions. *** These functions run in response to events (like an image upload) and the *** *** * developer doesn’t need to maintain or scale servers. ~~ ~~ ~~ ~~ * ** Pros: ** ** Reduced Operational Overhead: Eliminates the need for managing ~~ ~~** ~~ ~~ servers.  ❗ ! ** Cost-Effective: Pay only for what you use, which can reduce costs. ** * * ** High Scalability: Automatically scales with the application load. ** *** *** ** Cons: ** ** Limited Control: Less control over the environment and underlying ~~ ~~** infrastructure. *** Cold Starts: Can experience latency issues due to cold starts * ** *** *** (initializing a function). *** *** Traditional Server-based Architecture * * ** Definition: In traditional server-based architecture, applications are deployed ** ** ** * on servers which must be provisioned, maintained, and scaled by the developer ** ** or the operations team. * ** Characteristics: ** ** Fixed Resources: Servers have fixed resources and need to be manually ** *** ** ** scaled. *** ** Continuous Operation: Servers run continuously, irrespective of demand. ** * ** *** ** Billing Model: Typically involves ongoing costs regardless of usage, ** *** *** * * including server maintenance and operation. * * ** Example: A company website hosted on a dedicated server or a shared ** *** hosting service. The server runs continuously, and the team is responsible *** * * *** ** for installing updates, managing server security, and scaling resources * * * * during traffic spikes. * ** Pros: ** ** Full Control: Complete control over the server environment and ** infrastructure. ** Flexibility: More flexibility in configuring and optimizing the server. **  ❗ ** Cons: ** ** Higher Costs: Involves costs for unused capacity and continuous ** *** *** *** server maintenance. *** ** Operational Complexity: Requires active management of the server ** *** *** infrastructure. Key Differences ** Infrastructure Management: ** ** Serverless abstracts away the server management, ** ~~ ~~ * while traditional architecture requires active management of servers. * ** ** * * ** Scaling: ** ** Serverless automatically scales with demand, ** * * * while traditional architecture requires manual scaling. * ** ** * * ** Cost Model: ** ** Serverless has a pay-as-you-go model, ** * * * whereas traditional architecture typically involves continuous costs for * ** ** * server operation. * Conclusion ** Serverless architecture is ideal for applications with variable or unpredictable ** * * * workloads, where simplifying operational management and reducing costs are * priorities. ** Traditional server-based architecture is suitable for applications requiring ** * extensive control over the environment and predictable performance. * * * The choice depends on specific application requirements, workload patterns, * * * * and operational preferences. * *