This repository shows examples and guides for using Terraform to provision a EKS (Elastic Kubernetes Service) Cluster on AWS
We'll use the AWS CLI to get information from the cluster. Follow this step if you haven't yet installed the AWS CLI.
To install this you can install manually by following these instructions or if you have a package manager you can use the instructions below:
Mac Homebrew
brew install awscli
Windows Chocolatey
choco install awscli
The kubectl tool will be utilised to interact with your Kubernetes (K8S) cluster.
You can install this manually by following this guide below:
https://kubernetes.io/docs/tasks/tools/install-kubectl/
Or alternatively if you use a package manager it can be installed using the package manager:
Homebrew
brew install kubernetes-cli
Chocolatey
choco install kubernetes-cli
You can verify that it has installed correctly by running
kubectl version
It should print something like the below:
Client Version: version.Info{Major:"1", Minor:"20", GitVersion:"v1.20.4", GitCommit:"e87da0bd6e03ec3fea7933c4b5263d151aafd07c", GitTreeState:"clean", BuildDate:"2021-02-21T20:21:49Z", GoVersion:"go1.15.8", Compiler:"gc", Platform:"darwin/amd64"}
Dont worry if it says "Unable to connect to server" at this stage. We'll be sorting that later.
Before we go ahead and create your cluster its worth exploring the files.
Oh and before we do explore, the files in this directory could have been named whatever we like. For example the outputs.tf file can have been called foo.tf - we just chose to call it that because it contained outputs. So the naming was more of a standard than a requirement.
vpc.tf
Provisions and creates the Virtual Private Cloud (remember those from session two) that your cluster will be placed in.
security-groups.tf
Creates the AWS security groups for the cluster.
eks-cluster.tf
Provisions all the resources (AutoScaling Groups, etc...) required to set up an EKS cluster using the AWS EKS Module.
outputs.tf
This file defines the outputs that will be produced by terraform when things have been provisioned.
versions.tf
Configures the terraform providers (in our case the AWS provider) and sets the Terraform version to at least 0.14.
terraform.tfvars
This contains the values for the variables utilised in the terraform files. Make sure that the region looks correct and the credentials-profile should be as per the entry in your ~/.aws/credentials that you set up after following the videos prior to session 3.
Optionally update the tfvars file and ensure that the credentials-profile should be as per the entry in your ~/.aws/credentials that you set up after following the videos prior to session 3.
We need to get terraform to pull down the AWS provider.
In order to do this run:
terraform init
You should see something similar to the below:
Initializing modules...
Initializing the backend...
Initializing provider plugins...
- Reusing previous version of hashicorp/random from the dependency lock file
- Reusing previous version of hashicorp/local from the dependency lock file
- Reusing previous version of hashicorp/null from the dependency lock file
- Reusing previous version of hashicorp/template from the dependency lock file
- Reusing previous version of hashicorp/kubernetes from the dependency lock file
- Reusing previous version of hashicorp/aws from the dependency lock file
Firstly run a plan to see if what Terraform decides will happen.
terraform plan
We can then create your cluster by applying the configuration.
terraform apply
Sit back and relax - it might take 10 mins or so to create your cluster. Perfect time to have a ☕️ or a chat together.
Once its finished it'll output something like the info below. Those outputs are defined in the outputs.tf file.
Apply complete! Resources: 53 added, 0 changed, 0 destroyed.
Outputs:
cluster_endpoint = "https://C5CC135B19D791072B60A325678379BE.gr7.eu-west-2.eks.amazonaws.com"
cluster_id = "devops-upskill-eks"
cluster_name = "devops-upskill-eks"
cluster_security_group_id = "sg-099d37e0a02ad6eae"
Once its done you'll have a your Kubernetes cluster all ready to go!!!
kubectl is used to issue actions on our cluster.
We need to configure kubectl to be able to authenticate with your cluster.
To do this we use the AWS CLI to get the credentials. Notice how we reference the outputs in the command below.
NOTE Replace the terraform-iac part with whatever your AWS Credentials profile is called in ~/.aws/credentials
aws eks --region $(terraform output -raw region) update-kubeconfig --name $(terraform output -raw cluster_name) --profile terraform-iac
It should say something like:
Added new context arn:aws:eks:eu-west-2:1234567:cluster/devops-upskill-eks to /Users/user/.kube/config
You can now verify if kubectl can access your cluster.
Go ahead and see how many nodes are running:
kubectl get nodes
It should show something like:
NAME STATUS ROLES AGE VERSION
ip-10-0-1-216.eu-west-2.compute.internal Ready <none> 70s v1.19.6-eks-49a6c0
ip-10-0-2-161.eu-west-2.compute.internal Ready <none> 71s v1.19.6-eks-49a6c0
ip-10-0-2-186.eu-west-2.compute.internal Ready <none> 75s v1.19.6-eks-49a6c0
Exciting eh!!!
Finally lets get a container running on your cluster.
Firstly check if there are any running pods
kubectl get pods
It should probably say something like this:
No resources found in default namespace.
Lets deploy the nginx deployment.
kubectl apply -f kubernetes/nginx-deployment.yaml
Now lets see the pods
kubectl get pods
And it will show something like this:
NAME READY STATUS RESTARTS AGE
nginx-deployment-5cd5cdbcc4-b46m7 1/1 Running 0 14s
nginx-deployment-5cd5cdbcc4-knxss 1/1 Running 0 14s
nginx-deployment-5cd5cdbcc4-sqm2p 1/1 Running 0 14s
Actually you know what, I think 3 replicas is a bit overkill. Lets bring it down to 2 replicas.
Update the nginx-deployment.yaml file and change it down to 2 and save the file.
Then re-run your deployment.
kubectl apply -f kubernetes/nginx-deployment.yaml
Now lets see the pods
kubectl get pods
And you should see something like this:
NAME READY STATUS RESTARTS AGE
nginx-deployment-5cd5cdbcc4-b46m7 1/1 Running 0 3m47s
nginx-deployment-5cd5cdbcc4-knxss 1/1 Running 0 3m47s
nginx-deployment-5cd5cdbcc4-sqm2p 0/1 Terminating 0 3m47s
Finally lets get that web server exposed to the internet with a service
We can do this by creating the service (which will sit in front of our pods) and the ingress point
Firstly create the service
kubectl apply -f kubernetes/nginx-service.yaml
Kubernetes will now create the required load balancer and create an external IP address.
Keep running the command below until you see an external IP address
kubectl get services
It should output something like this:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 4m54s
nginx-web-server LoadBalancer 10.0.94.47 a68661a55a68b47119adce3090730169-897732735.eu-west-2.elb.amazonaws.com 80:32580/TCP 7s
After around 5 to 10 mins you should be able to hit the endpoint with your browser. Using the example above I would go to: http://a68661a55a68b47119adce3090730169-897732735.eu-west-2.elb.amazonaws.com
NOTE It does take a few mins, for some time you might see a 404 page.
Finally we want to destroy our cluster.
Firstly lets remove the service and ingress
kubectl delete -f kubernetes/nginx-service.yaml
Then we can destroy the cluster in full.
terraform destroy