Cyberdudebivash

  Executive summary This guide gives solution architects a pragmatic framework to decide what runs at the edge , what belongs in the cloud , and how to design hybrid systems that don’t crumble under real-world constraints (latency, data gravity, offline tolerance, compliance, and cost). You’ll get a decision matrix , reference architectures , cost model cues , and a build checklist you can apply immediately. TL;DR — Decision matrix  Workload trait Edge Cloud Hybrid (edge + cloud) Tight latency (human/perception or control loops ≤50 ms) ✅ Vision/controls, AR/VR, robotics ❌ ✅ Edge for loop, cloud for coordination Intermittent/expensive connectivity ✅ Local processing & caching ❌ ✅ Sync deltas to cloud when available Data residency / privacy-by-design ✅ Process/filter locally ❌ ✅ Redact/summarize at edge, store raw locally, publish features to cloud Burst scale / global access ❌ ✅ Web/mobile apps, API backends, analytics, SaaS ✅ Edge precompute + cloud distribution ML ...