---
title: "Serverless Computing"
type: concept
tags: [Cloud, Serverless, Cloud Native, Edge Computing]
date: 2026-04-26
---

# Serverless Computing (无服务器计算)

## Definition
**Serverless Computing** is a cloud execution model where the cloud provider dynamically manages the allocation and provisioning of servers. Developers can build and deploy applications without worrying about infrastructure management.

## Key Characteristics
- **No server management**: Cloud provider handles infrastructure
- **Automatic scaling**: Resources scale based on demand
- **Pay-per-use**: Pay only for execution time
- **Event-driven**: Functions respond to events/triggers

## Key Platforms

| Provider | Service |
|----------|---------|
| AWS | Lambda |
| Azure | Azure Functions |
| GCP | Cloud Functions |

## Benefits

### 1. Cost Efficiency
- Eliminates unnecessary resource consumption
- No idle capacity costs
- Pay only for actual execution time

### 2. Scalability
- Automatic scaling from zero to thousands of instances
- Handles traffic spikes without provisioning
- Global distribution ready

### 3. Developer Productivity
- Focus on business logic, not infrastructure
- Faster deployment cycles
- Reduced operational overhead

## Use Cases

### Event-Driven Automation
- Real-time file processing
- Automated backups
- Scheduled tasks and cron jobs

### API Backends
- Microservices architecture
- Real-time data processing
- IoT data ingestion

### AI/ML Inference
- On-demand model inference
- Image and video processing
- Natural language processing

## Relationship to Green Computing
- Serverless computing contributes to [[Green Computing]] by:
  - Eliminating idle resource consumption
  - Optimizing energy efficiency through shared infrastructure
  - Reducing data center carbon footprint

## Related Concepts
- [[Cloud-Native]]
- [[Green Computing]]
- [[Event-Driven-Architecture]]
- [[Edge-Computing]]

## Related Entities
- [[AWS Lambda]]
- [[Azure Functions]]
- [[Google Cloud Functions]]