dredfett

coreDns:
  service:
    selector:
      k8s-app: kube-dns
kubeControllerManager:
  service:
    selector:
      k8s-app: null
      component: kube-controller-manager
kubeEtcd:

dredfett

#!/bin/bash
minikube start --bootstrapper kubeadm --vm-driver kvm2 --memory 8192 --cpus 4 --extra-config=kubelet.authentication-token-webhook=true --extra-config=kubelet.authorization-mode=Webhook --extra-config=scheduler.address=0.0.0.0 --extra-config=controller-manager.address=0.0.0.0
# Create service account for Tiller
kubectl create serviceaccount --namespace kube-system tiller
kubectl create clusterrolebinding tiller-cluster-rule --clusterrole=cluster-admin --serviceaccount=kube-system:tiller

# Init helm and insteall prometheus-operator
helm init --service-account tiller
helm install --name monitoring --namespace monitoring stable/prometheus-operator --values=values_minikube.yaml

dredfett

#!/bin/bash
# Clone the git repo
#git clone git@github.com:coreos/prometheus-operator.git prometheus
# cd into prometheus/contrib/kube-prometheus
kubectl create -f manifests/

until kubectl get customresourcedefinitions servicemonitors.monitoring.coreos.com ; do date; sleep 1; echo ""; done
until kubectl get servicemonitors --all-namespaces ; do date; sleep 1; echo ""; done

kubectl apply -f manifests/ # This command sometimes may need to be done twice (to workaround a race condition).

dredfett

#!/bin/sh
# Install latest Nvidia Drivers
sudo apt-get install nvidia-driver-440

# Download latest version of CUDA supported by TF GPU: https://www.tensorflow.org/install/source#gpu
# NOTE: Do NOT install the driver provided by the CUDA installer when it asks you if you want it
wget https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux
sudo sh cuda_10.0.130_410.48_linux.sh

# Install Latest cuDNN Libraries supported by TF GPU: https://www.tensorflow.org/install/source#gpu