Edge computing and global deployment in Serverless architecture can achieve low-latency, highly available global services:
Edge computing services:
1. Lambda@Edge
- Execution location: Execute Lambda functions at CloudFront edge locations
- Trigger timing: Trigger at various stages of the request (Viewer Request, Origin Request, etc.)
- Applicable scenarios: URL rewriting, request validation, response modification
2. CloudFront Functions
- Lightweight computing: Execute lightweight JavaScript functions at edge nodes
- Low latency: Lower latency than Lambda@Edge
- Applicable scenarios: HTTP header modification, URL redirection, simple request validation
3. Cloudflare Workers
- Global network: Execute on Cloudflare's global network
- Multi-language support: Supports JavaScript, TypeScript, Rust, etc.
- Applicable scenarios: API gateway, content transformation, A/B testing
Global deployment strategies:
1. Multi-region deployment
- Region selection: Choose deployment regions based on user distribution
- Data proximity access: Users access services in the nearest region
- Failover: Automatic switch when a region fails
2. Content delivery
- CDN acceleration: Use CloudFront to distribute static content
- Dynamic acceleration: Use Lambda@Edge to accelerate dynamic content
- Caching policies: Set reasonable caching policies
3. Data synchronization
- Cross-region replication: Replicate data to multiple regions
- Eventual consistency: Accept eventual consistency model
- Conflict resolution: Implement data conflict resolution mechanisms
Best practices:
1. Performance optimization
- Edge caching: Cache data at edge nodes
- Request merging: Merge multiple requests to reduce latency
- Preloading: Preload hot data
2. Monitoring and debugging
- Distributed tracing: Use X-Ray to trace cross-region requests
- Performance monitoring: Monitor performance metrics in each region
- Log aggregation: Aggregate logs from all regions
3. Cost optimization
- Traffic routing: Intelligently route traffic to the most cost-effective region
- Resource optimization: Reasonably configure edge computing resources
- Caching strategies: Optimize caching strategies to reduce computing costs
Candidates should be able to share edge computing and global deployment experience from actual projects.