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git clone https://gitlab.com/arm-research/smarter/example.git./example/scripts/edge-k3s-setup.sh

 kubectl cluster-infoKubernetes master is running at https://3.230.166.4:6443
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'

/usr/local/bin/k3s server --docker --no-flannel --no-deploy coredns --no-deploy traefik --disable-agent

git clone https://gitlab.com/arm-research/smarter/smarter-cni.gitsudo ./install.sh

export K3S_VERSION="v1.18.3+k3s1"curl -sfL https://get.k3s.io | INSTALL_K3S_VERSION=$K3S_VERSION K3S_URL=https://<myserver>:6443 K3S_TOKEN=XXX sh -s - --docker --no-flannel

$ kubectl get nodesNAME STATUS ROLES AGE VERSIONubuntu Ready <none> 6h38m v1.18.3+k3s1

git clone https://gitlab.com/arm-research/smarter/example.gitexport MY_EMAIL=<A_VALID_EMAIL>
cd example./scripts/cloud-data-setup.sh

=========================================================================Grafana initial admin password has been set to eSBa0shDNENOTE: If using kubectl from this machine, make sure to run 'export KUBECONFIG=/home/ubuntu/example/cloud-kube.config'REMEMBER: To access grafana use https://grafana-3-236-47-70.nip.ioREMEMBER: To access kibana use https://kibana-3-236-47-70.nip.ioREMEMBER: To access prometheus dashboard use https://prometheus-3-236-47-70.nip.ioNOTE: on your dev machine export SMARTER_DATA_DOMAIN=3-236-47-70.nip.ioYour elasticsearch and kibana username is 'elastic' with password vC2sLOfbuRPsZovBg0K6=========================================================================

export KUBECONFIG=<YOUR_KUBECONFIG>export NODE_TO_USE=<YOUR_NODE_NAME>export SMARTER_DATA_DOMAIN=<YOUR_K3S_DATA_NODE_IP (DASH SEPARATED)>.nip.ioexport SMARTER_EDGE_DOMAIN=<YOUR_K3S_EDGE_MASTER_IP>

git clone https://gitlab.com/arm-research/smarter/example.gitcd example/demo./start_device_mgmt.sh
kubectl get secrets/fluentd-credentials --template={{.data.password}} | base64 -dkubectl create secret generic fluentd-credentials --from-literal=password=<YOUR FLUENTD PASSWORD>kubectl label node ${NODE_TO_USE} nodetype=rpi
# Use standard kubernetes CLI to get information about nodes connected to our clusterkubectl get nodes -o widekubectl get node ${NODE_TO_USE} -o wide --show-labels
# Deploy fluent-bit DaemonSets and ConfigMapskubectl apply -f ../yaml/fluent-bit/# Update fluent-bit-ds with server IP locationsenvsubst < ../yaml/fluent-bit/fluent-bit-ds.yaml | kubectl apply -f -kubectl get ds
# Check status of pods using the following command, when pod is running, proceed to the next stepkubectl get pods --field-selector spec.nodeName=${NODE_TO_USE} -o wide
# Label node to run fluent-bitkubectl label node ${NODE_TO_USE} fluent-bit=enabledkubectl get node ${NODE_TO_USE} -o wide --show-labels
# Check status of pod using the following command, when pod is running, proceed to the next stepkubectl get pods --field-selector spec.nodeName=${NODE_TO_USE} -o wide
# Deploy Netdata monitoring agentkubectl apply -f ../yaml/netdata-slavekubectl label node ${NODE_TO_USE} netdata-monitor=enabled
# Deploy EdgeFaaS DaemonSetkubectl apply -f ../yaml/faas/edgefaas-ds.yaml
# Label node to run EdgeFaaS runtimekubectl label node ${NODE_TO_USE} edgefaas=enabled
# Check status of pod using the following command, when pod is running, proceed to the next stepkubectl get pods --field-selector spec.nodeName=${NODE_TO_USE} -o wide
# Deploy Pulseaudiokubectl apply -f ../yaml/pulseaudio/
# Label node to run Pulseaudio daemonkubectl label node ${NODE_TO_USE} pulse=enabled
# Deploy json flattening FaaS function# Make sure that Jobs are deleted before running.kubectl apply -f ../yaml/faas/install-squasher.yamlkubectl label node ${NODE_TO_USE} squasher=enabled
# Run function-listing Job to make sure the squasher got installedkubectl apply -f ../yaml/faas/list.yamlkubectl label node ${NODE_TO_USE} faas-list=enabledkubectl logs edgefaas-lis

Allocated resources: (Total limits may be over 100 percent, i.e., overcommitted.) Resource Requests Limits -------- -------- ------ cpu 560m (14%) 850m (21%) memory 365Mi (48%) 365Mi (48%) ephemeral-storage 0 (0%) 0 (0%) smarter-devices/gpiochip0 0 0 smarter-devices/gpiochip1 0 0 smarter-devices/gpiochip2 0 0 smarter-devices/gpiomem 0 0 smarter-devices/i2c-1 0 0 smarter-devices/snd 0 0 smarter-devices/vchiq 1 1 smarter-devices/vcs 0 0 smarter-devices/vcsm 1 1 smarter-devices/vcsm-cma 0 0 smarter-devices/video10 0 0 smarter-devices/video11 0 0 smarter-devices/video12 0 0 smarter-devices/video4 2 2Events: <none>

# Deploy Tritonkubectl apply -f ../yaml/triton/triton-ds.yaml
# Label node to run triton model serverkubectl label node ${NODE_TO_USE} triton=enabled

if kubectl get node ${NODE_TO_USE} --show-labels | grep -q nodetype=rpi; then # Deploy ambient sound classifier kubectl apply -f ../yaml/ambient-sound-classifier/ambient-sound-classifier-ds.yaml
 # Label node to run ambient sound classifier kubectl label node ${NODE_TO_USE} ambient-sound-classifier=enabledfi

# Deploy the Sensor data collection applicationskubectl apply -f ../yaml/image-detector/image-detector-ds.yamlkubectl apply -f ../yaml/audio-client/audio-client-ds.yaml
# Label node to run image detector and web serverkubectl label node ${NODE_TO_USE} image-detector=enabled
# Check status of pods using the following command, when pods are running, proceed to the next stepkubectl get pods --field-selector spec.nodeName=${NODE_TO_USE} -o wide
# Label node to run sound classifier and audio clientkubectl label node ${NODE_TO_USE} audio-client=enabled
# Check status of pods using the following command, when pods are running, proceed to the next stepkubectl get pods --field-selector spec.nodeName=${NODE_TO_USE} -o wide

# Deploy the updated image detector for both cars and pedestrianskubectl apply -f ../yaml/image-detector/image-detector-extended-ds.yamlkubectl get pods --field-selector spec.nodeName=${NODE_TO_USE} -o wide

$ kubectl get pods --field-selector spec.nodeName=${NODE_TO_USE} -o wide --watchNAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATESsmarter-device-manager-9d4mk 1/1 Running 0 6h42m 192.168.125.112 ubuntu <none> <none>fluent-bit-4fqmc 1/1 Running 0 6h41m 172.38.0.4 ubuntu <none> <none>pulseaudio-t6v8q 1/1 Running 0 6h41m 172.38.0.8 ubuntu <none> <none>edgefaas-5gpqm 1/1 Running 0 6h41m 172.38.0.7 ubuntu <none> <none>netdata-slave-zr8jr 1/1 Running 0 6h41m 192.168.125.112 ubuntu <none> <none>edgefaas-list 0/1 Completed 0 6h41m 172.38.0.6 ubuntu <none> <none>edgefaas-install-squasher 0/1 Completed 0 6h41m 172.38.0.5 ubuntu <none> <none>ambient-sound-classifier-qqgdn 1/1 Running 0 6h37m 172.38.0.6 ubuntu <none> <none>triton-armnn-b2tbw 1/1 Running 0 6h37m 172.38.0.5 ubuntu <none> <none>audio-client-sxdt4 0/1 Running 81 6h37m 172.38.0.10 ubuntu <none> <none>image-detector-hbflg             0/1     Running            0          55m     172.38.0.9        ubuntu   <none>           <none>

 # Connection with AWS IoT mqtt_connection = mqtt_connection_builder.mtls_from_path( endpoint=args.endpoint, cert_filepath=args.cert, pri_key_filepath=args.key, client_bootstrap=client_bootstrap, ca_filepath=args.root_ca, on_connection_interrupted=on_connection_interrupted, on_connection_resumed=on_connection_resumed, client_id=args.client_id, clean_session=False, keep_alive_secs=6)
 print("Connecting to {} with client ID '{}'...".format( args.endpoint, args.client_id))
 connect_future = mqtt_connection.connect()
 # Future.result() waits until a result is available connect_future.result() print("Connected!")