This quickstart shows you how to easily install a Kubernetes cluster on AWS. It uses a tool called kops.
kops is an automated provisioning system:
Fully automated installation Uses DNS to identify clusters Self-healing: everything runs in Auto-Scaling Groups Multiple OS support (Debian, Ubuntu 16.04 supported, CentOS & RHEL, Amazon Linux and CoreOS) - see the images.md High-Availability support - see the high_availability.md Can directly provision, or generate terraform manifests - see the terraform.md Before you begin
You must have kubectl installed.
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/darwin/amd64/kubectl"
Then follow
mkdir -p bin; mv kubectl bin/.; chmod +x bin/kubectl; export PATH=$PATH:${PWD}/bin; kubectl version --client
You must install kops on a 64-bit (AMD64 and Intel 64) device architecture.
curl -Lo kops https://github.com/kubernetes/kops/releases/download/$(curl -s https://api.github.com/repos/kubernetes/kops/releases/latest | grep tag_name | cut -d '"' -f 4)/kops-darwin-amd64; mv kops bin/kops; chmod +x ./bin/kops
You must have an AWS account, generate IAM keys and configure them. The IAM user will need adequate permissions.
pip install awscli
CREATE CLUSTER
kops create cluster --cloud aws --name=kube.april.aws --state=s3://aks-aprilaws --zones=eu-west-1a --node-count=2 --node-size=t2.micro --master-size=t2.micro --dns-zone=ccdpharmaedu.com
That’s it. This command is used for creating the configuration of the cluster. To launch the cluster you can use the command:
kops update cluster kube.april.aws --yes --state=s3://aks-aprilaws --yes
kops validate cluster --wait 10m --state=s3://aks-aprilaws
export KOPS_STATE_STORE=s3://aks-aprilaws
kops validate cluster --wait 10m
kops delete cluster kube.april.aws --yes
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