/python-docker-eks

Migrate Python code from Local Machine to Kubernetes in Cloud.

Primary LanguageDockerfile

python-docker-eks

This project will deplopy Python code from Local Machine to Kubernetes in Cloud.

Container Lifecycle:

  • Running container in local machine.
  • Containerizing the program.
  • Run the container locally.
  • Deploy the container to AWS.
  • Expose the container.
  • Scale the container.

Requirements:

  • Homebrew ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
  • Python (latest v3.9, pip, and setup tools) brew install python
  • Docker brew install docker
  • Eksctl brew install eksctl
  • clone repository git@github.com:jcquiles/python-docker-eks.git

Step 1:

  • install flask pip install flask or python3 -m pip install Flask==1.1.2
  • write and run python flask app from server.py server.py
  • Flask is a web framework, it's a Python module that lets you develop web applications easily. It's has a small and easy-to-extend core.
  • check localhost:500 to check if flask program is returning "hello world".

Step 2:

  • containerize code by running Dockerfile
  • Dockerfile is a text document that contains all the commands to create an image and package a container.

Step 3:

  • build image docker build -t flaskapp
  • verify image is created docker images
  • run the container docker run -d -p 5000:5000
  • -d to keep the container running in the background.
  • p to publish the port 5000 to the localhost 5000.
  • The first 5000 is the container port.
  • The second 5000 is the host port.
  • verify the container is created docker ps
  • check to see if the container is running docker ps -a
  • if not running check logs of the container id with docker logs <CONTAINER-ID>

Step 4:

  • create public repository in your Docker Hub.
  • login to Docker docker login then docker images
  • tag Docker image docker tag <image-ID> <docker-account-name/dockerhub-repo-name>
  • if you dont specify a tag it will pick up the latest tag
  • push image docker push <docker-username/dockerhub-repo-name>

Step 5:

  • create eks cluster eksctl create cluster
  • this may take several minutes to create
  • deploy deployment manifest for cluster kubectl apply -f flaskdeploy.yaml
  • deploy service mainfest for cluster kubectl apply -f flasksvc.yaml
  • verify service is working by testing the load balancer service.