Edge computing brings computation closer to users and data sources, reducing latency and bandwidth. Levels include: device edge (IoT devices), network edge (cell towers, ISP equipment), and regional edge (small data centers). Use cases: real-time AI inference (autonomous vehicles), IoT data processing, content personalization, and gaming. In web development, edge functions (Cloudflare Workers, Vercel Edge) run code at CDN locations for ultra-low latency APIs. Benefits: reduced latency (milliseconds vs hundreds), bandwidth savings (process locally, send results), and offline capability. Edge complements cloud computing rather than replacing it - the right balance depends on use case requirements.
☁️ Cloud Computing intermediate
Edge Computing
Computing paradigm that processes data near its source rather than in centralized data centers.
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