kubernates-ansible-aws

This repo installs 3 node Kubernetes cluster on AWS with 1 master and 2 worker

Steps to run this repo

1.Install the pre-requistes

./packages.sh

2. setup python virual env

python3 -m venv ansible source /root/aws-ansible/ansible/bin/activate pip install pip --upgrade pip install boto pip install boto3 pip install ansible

3. Configure AWS credential - this is needed for dynamic inventory

aws configure OR EXPORT AWS_KEY_ID = XXXXXXXXXXXXX EXPORT AWS_SECRET_KEY =XXXXXXXXXX

4. Run create Infra for launch master and worked node

ansible-playbook -i inventory create-infra.yml

5. prepare host file from dynamic inventory . Update the alias name

ansible -i ec2-k8.py worker --list | grep -v hosts > files/hosts ansible -i ec2-k8.py master --list | grep -v hosts >> files/hosts

6. update kube-api-server variable in playbooks

export KUBE_API_SERVER_IP=ansible -i ec2-k8.py master --list | grep -v hosts | head -1 | awk '{print $1}' sed -ir "s/kube_api_server: ChangeMe/kube_api_server: ${KUBE_API_SERVER_IP}/g" deploy-k8-ubuntu.yml sed -ir "s/kube_api_server: ChangeMe/kube_api_server: ${KUBE_API_SERVER_IP}/g" add-node-ubuntu.yml

7. fetch private key on ansible controller

8. Update new hosts in playbooks

cat files/hosts >> distribute-key.yml

10 Disribute key on remote hosts

ansible-playbook -i inventory distribute-key.yml

11. Check ansible ping for all host

ansible -m ping -i ec2-k8.py master ansible -m ping -i ec2-k8.py worker

12. Prepare host for k8 deployment

ansible-playbook -i ec2-k8.py configue-ubuntu-infra.yml

13. Deploy k8 cluster on master

ansible-playbook -v -i ec2-k8.py deploy-k8-ubuntu.yml

14. Check Master is up and running ok

ansible -m shell -a "kubectl get no" -i ec2-k8.py master --become

15. Update token and discovery token in add-node playbook

16. Run Add node playbook

ansible-playbook -v -i ec2-k8.py

17. Check Node is added successfully

ansible -m shell -a "kubectl get no" -i ec2-k8.py master --become ansible -m shell -a "kubectl get po --all-namespaces" -i ec2-k8.py master --become