nexus/wiki/concepts/Serverless-Computing.md

title, type, tags, date

title	type	tags	date
Serverless Computing	concept	Cloud Serverless Cloud Native Edge Computing	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