aws-kubernetes-terraform

Terraform configuration to deploy a Kubernetes cluster on AWS using EKS

Repository structure

.github/workflows/action.yaml (Pipeline definition file)

autoscaler-iam.tf (Creates IAM permissions for cluster autoscaler)
autoscaler-manifest.tf (Installs cluster autoscaler on the EKS cluster)
eks.tf (Creates the EKS cluster)
helm-load-balancer-controller.tf (Installs the AWS load balancer controller using Helm)
helm-provider.tf (Defines the terraform Helm provider)
iam.tf (Creates an additional user to access the cluster)
main.tf (Defines the provider region)
outputs.tf (Defines outputs displayed after creation of resources)
variables.tf (Defines variables used in the configurations)
versions.tf (Defines version constraints)
vpc.tf (Creates the VPC for the cluster)

Manual steps required

Manually create S3 bucket to store terraform state

How to use

Edit variables.tf to set your Region, VPC name and EKS cluster name
Edit versions.tf to set the name of your S3 bucket to store your terraform state file

To apply using CI/CD pipeline.

Add the following secrets to the repository settings:
AWS_ACCESS_KEY_ID =
AWS_SECRET_ACCESS_KEY =
Merge to your master branch (pipeline is triggered upon push to master branch, you can edit this in the pipeline definition file)

To apply manually.

Clone the repo to your local computer.
At the project root, run the following:
terraform init
terraform plan
terraform apply