Nicolai Ort
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59 lines
1.6 KiB
Markdown
59 lines
1.6 KiB
Markdown
---
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title: "Kubernetes at the Far Edge: Harnessing IoT with Lightweight Clusters and Akri"
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weight: 5
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tags:
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- rejekts
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- edge
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---
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{{% button href="https://www.youtube.com/watch?v=jywpFlOH3z0" style="warning" icon="video" %}}Watch talk on YouTube{{% /button %}}
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<!-- {{% button href="https://docs.google.com/presentation/d/1nEK0CVC_yQgIDqwsdh-PRihB6dc9RyT-" style="tip" icon="person-chalkboard" %}}Slides{{% /button %}} -->
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## The far edge
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- Resource constraint computing
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- Limited connectivity
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- More and smaller clusters
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## Why kubernetes
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- Automation, Scalability and resilience
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- Workload Portability through containers
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- Orchestration
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- Declarative state
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## Enter k0s
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- Minimal footprint as static binary
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- Simplified edge cluster management
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## Managing disconnected edge nodes
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- Needs: Remote managability
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- Idea: Centralized, remote Control Plane (that only does control plane)
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- Challenge: Network disconnections (kubernetes usually moves workload)
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## Akri
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> https://docs.akri.sh/
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- Discovery of iot devices
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- Exposes IoT devices as k8s resources
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- Handels workload scheduling for leaf devices
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## Demo
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Can be found in the video
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## Q&A
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- What about image distribution: Depends on networking conditions, k0s supports interna. images delivered as tar.gz
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- What can the broker do: Anything that a pod can interact with
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- What about reboots: Well akri had some problems in the demo, kubelet seems to start the containers again
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## Random Notes
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- Akri Kinda reminded me of the gpu-operator with extra resouce capacity for attached devices |