Born in the Cloud growing at the Edge?
summary
Kubernetes moves from cloud data centers into many edge tiers — regional, access, on‑prem and tiny microcontroller devices — because AI inference and Industry 4.0 need millisecond local decisions and reduced data transfers. Concrete problems: factories stop when backup servers lack capacity; vendors ship containerized VMs labeled cloud‑native; one 5G vendor still targets Kubernetes 1.19. Recommended fixes are migrating monoliths to microservices, running mixed legacy and cloud‑native workloads side‑by‑side, and standardizing integrations with image recognition and AI inference at the edge.
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chapters (7)
- 0:00Introduction to Edge computing
- 1:25Defining different Edge types
- 3:10Industrial use cases at the Edge
- 5:42AI workloads at the Edge
- 7:53Cloud native for Edge challenges
- 10:44Cloud vs Edge reality check
- 12:28Future opportunities and complexity
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