Full Stack Web Devel... • 19h
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.
Hey I am on Medial • 12m
Edge AI and Edge Computing: Transforming Technology Edge AI and Edge Computing are revolutionizing how data is processed by enabling local computation on devices, minimizing reliance on centralized cloud servers. Edge computing processes data closer
See MoreFounder at Prayog Cy... • 4m
How Cloud Security evolved over the years: CSPM → CWPP → CNAPP 1. Cloud Security Posture Management (CSPM) focuses on identifying and remediating cloud infrastructure misconfigurations. It continuously scans your cloud environments against security
See MoreHey I am on Medial • 3m
You shipped your Supabase app. Everything runs smooth... until it doesn’t. Not because Supabase is broken — But because it’s too easy to use. And that ease hides traps. Here are 6 mistakes that quietly wreck Supabase apps (and how to avoid them):
See MoreBuilding products, l... • 3m
Google Unveils AI Edge Gallery: On-Device Generative AI Without Internet Google has launched the AI Edge Gallery, an experimental app that brings cutting-edge Generative AI models directly to your Android device. Once a model is downloaded, all proc
See MoreFounder Snippetz Lab... • 6m
AI shouldn’t be a luxury—it should run anywhere, even on low-powered devices, without costly hardware or cloud dependency. Companies like TinyML, Edge Impulse, LM Studio, Mistral AI, Llama (Meta), and Ollama are already making AI lighter, faster, a
See MoreSenior developer | b... • 5m
Has anyone tried to implement hybrid peer to peer video on demand system? Normal CDN + storage costs >$1000 each month which is way too much I am trying to build one I don't know what Will be the future. if it succeed we can stream lots of videos
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