This project is an example of python application development in a Kubernetes cluster which is created using vagrant and ansible in a local development environment.
- Docker - for install Docker Desktop
- Virtualbox - for install Virtualbox
- Vagrant - for install Vagrant
- kubectl - for install kubectl client
Clone the git repository and install the K8s cluster using vagrant on local environment.
Run this command to clone the git repo of project
$ git clone https://github.com/koseburak/hello-py.gitRun this command to install local environment in the same directory as Vagrantfile
$ vagrant upCopy created "config" file into the "$HOME/.kube/" folder to manage provisioned K8s cluster
$ cp devops/ansible-playbooks/config ~/.kube/config1.1. Make changes on your python application in local repository.
Run this command to define the private docker registry address as a env variable on your local environment
$ export $REGISTRY="192.168.50.10:30001"2.1. Build new docker image for the developed code of application ( run this command in the same directory as Dockerfile )
$ docker build -t $REGISTRY/hello-py:0.0.1 .2.2. Push the new docker image of your application to private docker registry running on the local k8s cluster
$ docker push $REGISTRY/hello-py:0.0.1Deploy the new version of application to K8s cluster.
3.1. If you are deploying your application for the first time, run this command
$ kubectl apply -f devops/k8s/hello-py-deployment.yaml3.2. After each new development you make, you have to create a new docker image with new version tag ( by running commands in the 2.step ) and update the K8s deployment file in a way that it uses the new docker image with the following command
$ kubectl set image deployment/hello-py hello-py=127.0.0.1:30001/hello-py:0.0.23.3. Check of your deployment and pods if they are is ready
$ kubectl get deploy -n default
$ kubectl get pods -n default3.4. Now, try to access your application via the browser using the address below
http://192.168.50.10:30100/