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• Set up an AWS account if you don't have one.
• Install and configure the AWS CLI on your local machine.
• Install and configure kubectl, the command-line tool for interacting with Kubernetes clusters.

Use Terraform to define and provision the necessary AWS resources for an EKS cluster (VPC, subnets, EKS cluster, etc.). You can organize your Terraform code in a directory structure for better maintainability.

Test the base docker image to ensure it works locally as expected before deploying to Kubernetes cluster.

The docker image needs to be available on AWS, you will need to have a mechanism to build and deploy the local image to ECR.

• Configure your AWS EKS cluster by creating a kubeconfig file to enable communication with the cluster from your local machine.
• Deploy the EKS cluster using the Terraform scripts you created in the previous step.

It is not easy to onboard Python developers into their local working environments (again) especially when they have set up an AWS accounts. When choosing CDK, which is AWS's preferred IAC solution then this is the problem we will see again.

This can be a problem, however, we have two options here:

• More discovery on Python and Pip (Pip is the dependency management solution for Python)
• Use Typescript which is fully supported (Learning Language barrier, JS and static typing a requirement)
• Use Terraform and skip all AWS specfifc nuances (Learn Hcl)

We need to decide what the best option is given our skills and learning potential.

• Create Kubernetes deployment and service YAML files for your containerized application.
• Deploy your application on the EKS cluster using kubectl.
• Verify that your application is running correctly on the EKS cluster.

• Create a simple CRUD application (Python Flask app) and containerize it using Docker. Write a Dockerfile for your application.

Setup AWS dependecies to access cloud infrastructure resources.

Create a manifest file to define the service orchestration. Use a local K8s engine to test local changes.

Setup a Github repository for a sample containerised and orchestrated api.