JimmyYang comments

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                                            JimmyYang

[Feature] Sedna features support visualized operation and management

@jieun1128 First, you should run the current incremental learning case of Sedna, like [here](https://github.com/kubeedge/sedna/tree/main/examples/storage/s3/incremental_learning)

Steps

@PHLens can you give more info, e.g. kubectl get nodes -o wide; kubectl get ji -o yaml;

install scripts appoint sedna-gm image existn't

@lidongen Image updated

Jointinferince：edge node cannot access port 5000 of big model

@LinRds Check whether edgemesh is installed on edge nodes and cloud nodes. [edgemesh doc](https://edgemesh.netlify.app/zh/guide/getting-started.html#helm-%E5%AE%89%E8%A3%85)

[OSPP] The proposal for Observability management

/lgtm

docker V0.43 Loss dependency files

@JasonNing96 fix it. try again.

Problems with the use of lib

/assign @jaypume

IL: Why model training and model preservation are separated

/assign @JoeyHwong-gk

The image sedna-example-joint-inference-helmet-detection-little can not run on the ARM.

@WadeWuu currently, example images of sedna project only support amd64.

Lifelong learning supporting non-structure

@luosiqi Delete code files irrelevant to the scenarios in example folder.