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From Sensors to Servers: Efficient Edge Computing with Akri and WebAssembly

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Akri discovers IoT devices and registers them as Kubernetes extended resources, supporting MQTT, OPC UA and udev and injecting broker credentials into Pods; SpinKube runs serverless WebAssembly as Pods by loading a containerd shim (runwasi) and a Spin operator. Wasm artifacts are tiny and start in sub‑millisecond times, packaged as OCI images. Demo: four Arduino sound sensors publish 0–1600 to an MQTT broker on AKS, Akri creates instances, a Spin Wasm app persists values to SQLite and the front end shows live time series — it deploys and works on a two‑node AKS cluster. Akri discovers devices as extended Kubernetes resources SpinKube runs serverless WebAssembly via a containerd shim

AI-written summary · about

  1. 0:00Edge Computing challenges
  2. 1:06Akri and Spin for Edge workloads
  3. 2:10Traditional containers pain points
  4. 5:43WebAssembly benefits
  5. 7:48Spin: Serverless WebAssembly apps
  6. 9:13SpinKube: WebAssembly on Kubernetes
  7. 10:37Live demo setup overview
  8. 12:21Local Spin and MQTT dev
  9. 15:52WebAssembly as OCI artifacts
  10. 16:35Deploying with SpinKube
  11. 17:17Discovering devices with Akri
  12. 19:01Akri with Spin integration
  13. 21:07Live demo results synergy
  14. 22:10Q&A: WebAssembly vs containers
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