1. Running this app in docker instructions

$ git clone $ docker build -t pythonapp1 .

to see output on browser we need to expose port 8080 run the below command

$ docker run --name my-container -d -p 8080:8080 pythonapp1

Now visit http://localhost:8080

2. building docker image and pushing it into Amazon ECR using github actions

open folder .github/workflows/aws.yml

before starting we need some requirements 1. AWS account

2. create ECR repository 


3.  store aws keys in secretes of github current repository under settings you can find secretes

after this you can edit repository name and aws-region then commit you can see it triggers Actions

3. deploy our app into eks cluster using github actions pipeline

before proceding into this we need to create cluster

i am deploying the cluster using eksctl

so install eksctl follow instructions of aws https://docs.aws.amazon.com/eks/latest/userguide/getting-started-console.html

it takes several minutes to complete to finish the task

once done don't forget to update kubeconfig file using below command using aws cli (i believe you already installed and configured)

$ aws eks --region ap-south-1 update-kubeconfig --name first-eks (your cluster name here)

Then create or updATE your deployment.yml and service.yml under manifests folder

4. Setting up Kubectl for AWS EKS

check in EKS cluster kubernetes version mine is 1.17 then execute below commands from your working PC

$ curl -o kubectl https://amazon-eks.s3.us-west-2.amazonaws.com/1.17.9/2020-08-04/bin/darwin/amd64/kubectl verfying kubectl $ kubectl version --short --client then make sure you updated the kube config file and having correct IAM permissions now you can interact with your AWS EKS cluster from your PC

once done execute below commands

$ kubectl get svc

$ kubectl describe svc python-svc #(your service name)

then copy external Ip and paste it in browser you can see the output