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0. Start the autoscaler

root@d8dd5a58836b:~/workspace/DLworkspace/src/ClusterBootstrap# ./cluster-autoscaler --v=4 --stderrthreshold=error --logtostderr=true --cloud-provider=aztools --skip-nodes-with-local-storage=false --nodes=1:10:dlws-worker-asg --leader-elect=false --scale-down-enabled=false --kubeconfig=./deploy/kubeconfig.yaml

1. Scale a existing deployment to many instances.

root@d8dd5a58836b:~/workspace/DLworkspace/src/ClusterBootstrap# ./deploy.py kubectl scale --replicas=8 deploy/nginx-deployment
===============================================
Checking Available Nodes for Deployment...

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```
 ./cluster-autoscaler --v=5 --stderrthreshold=error --logtostderr=true --cloud-provider=aztools --skip-nodes-with-local-storage=false --nodes=1:10:dlws-worker-asg --leader-elect=false --scale-down-enabled=true --kubeconfig=./deploy/kubeconfig.yaml
```

```
I0305 20:20:54.209418    2996 scale_down.go:175] Scale-down calculation: ignoring 2 nodes, that were unremovable in the last 5m0s
I0305 20:20:54.209449    2996 scale_down.go:207] Node harrydevbox-worker01 - utilization 0.883802
I0305 20:20:54.209475    2996 scale_down.go:211] Node harrydevbox-worker01 is not suitable for removal - utilization too big (0.883802)
I0305 20:20:54.209494    2996 scale_down.go:207] Node harrydevbox-worker03 - utilization 0.030000
I0305 20:20:54.209651    2996 static_autoscaler.go:332] harrydevbox-worker03 is unneeded since 2018-03-05 20:10:54.176130596 +0000 UTC m=+71.982770098 duration 10m0.032698796s

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8-core VM on GCE

Code base: master branch
Commit ID: 1e689a8

Performance test with:

`./test-performance.sh`

// 100 nodes 3k pods

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cd $GOPATH/src/k8s.io/kubernetes
git clone https://github.com/kubernetes/kubernetes .

./hack/install-etcd.sh
export PATH=$GOPATH/src/k8s.io/kubernetes/third_party/etcd:${PATH}

make test-e2e-node ARCH=arm64 PARALLELISM=1 RUNTIME=remote CONTAINER_RUNTIME_ENDPOINT=/var/run/frakti.sock IMAGE_SERVICE_ENDPOINT=/var/run/frakti.sock TEST_ARGS="--prepull-images=false" FOCUS="\[Conformance\]"

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apiVersion: v1
kind: PersistentVolume
metadata:
  name: pv0001
spec:
  capacity:
    storage: 1Gi
  accessModes:
  - ReadWriteOnce
  hostPath:

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In your local clone of your forked repository, you can add the original GitHub repository as a "remote". ("Remotes" are like nicknames for the URLs of repositories - origin is one, for example.) Then you can fetch all the branches from that upstream repository, and rebase your work to continue working on the upstream version. In terms of commands that might look like:

Add the remote, call it "upstream":

git remote add upstream https://github.com/whoever/whatever.git

Fetch all the branches of that remote into remote-tracking branches, such as upstream/master:

git fetch upstream

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apiVersion: core.oam.dev/v1alpha1
kind: ApplicationConfiguration
metadata:
  name: first-app
spec:
  components:
    - componentName: helloworld-python-v1
      instanceName: first-app-helloworld-python-v1
      parameterValues:
        - name: target

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# -------------------------- Step 1: Define and install WorkloadType and Trait ---------------------
---
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
  name: radius.cache.crossplane.io
  annotations:
   core.oam.dev/oam-type: WorkloadType
  scope: Namespaced
  names:

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# Step 1: Define and install WorkloadType and Trait
---
apiVersion: core.oam.dev/v1alpha1
kind: WorkloadType
metadata:
  name: cache.crossplane.io/v1.Radius # we endorse G/V/K convension as WorkloadType name
spec:
  schematic: |
    apiVersion: apiextensions.k8s.io/v1
    kind: CustomResourceDefinition

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---
apiVersion: core.oam.dev/v1alpha1
kind: WorkloadDefinition
metadata:
  name: service.serving.knative.dev
spec:
  definitionRef:
    # reference to the name of real-world crd
    name: service.serving.knative.dev
---