Design edge computing architecture for low-latency applications.

Edge computing places computation closer to users. Architecture layers: device edge (IoT/client processing), network edge (CDN/MEC), regional edge (cloud regions), core cloud. Considerations: workload placement (latency vs resources), state management (distributed cache, eventual consistency), deployment (GitOps across locations), failure handling (graceful degradation). Technologies: Cloudflare Workers, AWS Lambda@Edge, Fastly Compute. Use cases: real-time personalization, IoT processing, gaming, video transcoding. Trade-offs: operational complexity, limited compute, debugging challenges.