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Vansh Khandelwal

Full Stack Web Devel... • 1m

Edge computing moves compute and storage closer to users—CDN PoPs, gateways or devices—reducing latency, bandwidth and improving resiliency. Gartner predicts ~75% of enterprise data will be created/processed outside traditional datacenters by 2025. Typical architectures layer an edge CDN/functions tier, regional compute and centralized cloud. Patterns: edge caching for static/media, edge functions for routing/auth/personalization/A‑B, and edge filtering for IoT telemetry. Real examples: Netflix/Open Connect caching, sub‑50ms personalization with Lambda@Edge or Cloudflare Workers, and local inference for predictive maintenance (NVIDIA Jetson). Practical tips: start with a single latency‑sensitive pilot, design authoritative cloud fallbacks, push security/observability to the edge, consider data residency and platform tradeoffs (JS/Rust/WASM, PoP footprint). Actionable next step: run an edge pilot (auth or media caching), measure latency and cost, then iterate.

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