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 [email protected]: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

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• 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.

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• check localhost:500 to check if flask program is returning "hello world".

Step 2:

• containerize code by running Dockerfile

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

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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.

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• The first 5000 is the container port.
• The second 5000 is the host port.

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• 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>

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• if you dont specify a tag it will pick up the latest tag

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• push image docker push <docker-username/dockerhub-repo-name>

Step 5:

• create eks cluster eksctl create cluster

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• this may take several minutes to create

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• 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.