Serverless architecture is a cloud computing execution model where cloud providers dynamically manage server resource allocation, and users only pay for the actual compute resources consumed. Core advantages include:
- Pay-as-you-go: No need to provision servers, pay only for executed code, significantly reducing costs
- Auto-scaling: Automatically adjusts resources based on request volume, no manual configuration required
- Zero operations: No need to manage servers, operating systems, and runtime environments
- Fast deployment: Code runs immediately after upload, accelerating development iterations
- High availability: Cloud providers automatically handle fault tolerance and load balancing
Key components of Serverless include:
- FaaS (Function as a Service): Such as AWS Lambda, Azure Functions
- BaaS (Backend as a Service): Such as databases, storage, authentication services
Applicable scenarios include event-driven applications, API gateways, data processing pipelines, microservices, etc. Inapplicable scenarios include long-running tasks, applications requiring persistent connections, applications sensitive to startup latency, etc.
Candidates should be able to explain the rationale for choosing Serverless architecture and implementation results based on actual project experience.