CREATE KUBERNETES CLUSTER BY USING YAML FILE

abhya@abhyas-MacBook-Pro ~ % aws configure

abhya@abhyas-MacBook-Pro ~ % cd desktop

abhya@abhyas-MacBook-Pro ~ % mkdir eks_class_code

abhya@abhyas-MacBook-Pro desktop % cd eks_class_code

abhya@abhyas-MacBook-Pro eks_class_code % touch cluster.yml

abhya@abhyas-MacBook-Pro eks_class_code % open -t cluster.yml

apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig

metadata:
name: abhyacluster
region: ap-south-1

nodeGroups:
— name: ng-1
instanceType: t2.micro
desiredCapacity: 2
— name: ng-2
instanceType: t2.small
desiredCapacity: 1

ssh:
publicKeyName: mykey1111

abhya@abhyas-MacBook-Pro ~ % cd desktop

abhya@abhyas-MacBook-Pro desktop % cd eks_class_code

abhya@abhyas-MacBook-Pro eks_class_code % open -t cluster.yml

abhya@abhyas-MacBook-Pro eks_class_code % eksctl create cluster -f cluster.yml

abhya@abhyas-MacBook-Pro eks_class_code % eksctl get cluster

NAME REGION

abhyacluster ap-south-1

abhya@abhyas-MacBook-Pro eks_class_code % aws eks update-kubeconfig — name abhyacluster

Updated context arn:aws:eks:ap-south-1:010574163167:cluster/abhyacluster in /Users/abhya/.kube/config

abhya@abhyas-MacBook-Pro eks_class_code % kubectl get pods

No resources found in default namespace.

abhya@abhyas-MacBook-Pro eks_class_code % kubectl get ns

NAME STATUS AGE

default Active 20m

kube-node-lease Active 20m

kube-public Active 20m

kube-system Active 20m

CLUSTER CREATED

Create a project integrating all the technologies that are being covered in EKS training.

It should includes the use if normal eks cluster and use them to launch various applications with the help of helm.

If you know terraform, then include that to setup the cluster.

Technology it can include,
EKS, EFS, Helm

Application could be a simple space server or jenkins workflow pipeline, or prometheus or grafana, etc

#creating k8s efs

provider “kubernetes” {

config_context_cluster = “arn:aws:eks:ap-south-1:010574163167:cluster/abhyacluster”
}

resource “kubernetes_namespace” “namespace” {
metadata {
name = “my-first-namespace”
}
}
resource “kubernetes_storage_class” “storageclass” {
metadata {
name = “ekssc”
}

storage_provisioner = “kubernetes.io/aws-ebs”

reclaim_policy = “Retain”

parameters = {
type = “io1”
}
}

#creating k8s pvc using storage class

resource “kubernetes_persistent_volume_claim” “clustervolume” {
metadata {
name = “eksvolume”
}

spec {
storage_class_name =”ekssc”
access_modes = [“ReadWriteOnce”]
resources {
requests = {
storage = “1Gi”
}
}
}
}

#creating k8s service load balancer

resource “kubernetes_service” “lb” {
metadata {
name = “ekslb”
}
spec {

selector = {
app = “webserver”
}
port {
port = 8080
target_port = 80
}

type = “LoadBalancer”
}
}

#creating k8s deployment for webapp using docker image

resource “kubernetes_deployment” “webdeployment” {
metadata {
name = “mywebpage”
labels = {
app = “myserver”
}
}

spec {
replicas = 1

selector {
match_labels = {
app = “myserver”
}
}

template {
metadata {
labels = {
app = “myserver”

}
}
spec {
container {
image = “vimal13/apache-webserver-php”
name = “mywebpage”

volume_mount {
mount_path = “/var/www/html/”
name = “eksvolume”
}
}
volume {

name =”eksvolume”

}
}
}
}
}

abhya@abhyas-MacBook-Pro terraform_eks % terraform init

abhya@abhyas-MacBook-Pro terraform_eks % terraform apply -auto-approve

service load balancer of aws used by k8s

USE HELM TO INSTALL PROMETHEUS AND GRAFANA

abhya@abhyas-MacBook-Pro eks_class_code % kubectl -n kube-system create serviceaccount tiller

abhya@abhyas-MacBook-Pro eks_class_code % kubectl create clusterrolebinding tiller — clusterrole cluster-admin — serviceaccount=kube-system:tiller

abhya@abhyas-MacBook-Pro eks_class_code % helm install — generate-name stable/prometheus — namespace prometheus — set alertmanager.persistentVolume.storageClass=”gp2" — set server.persistentVolume.storageClass=”gp2"

abhya@abhyas-MacBook-Pro eks_class_code % kubectl get svc -n prometheus

abhya@abhyas-MacBook-Pro eks_class_code % kubectl -n prometheus port-forward svc/prometheus-1594538640-server 8888:80

abhya@abhyas-MacBook-Pro eks_class_code % kubectl get all -n prometheus

abhya@abhyas-MacBook-Pro eks_class_code % kubectl create namespace grafana

abhya@abhyas-MacBook-Pro eks_class_code % helm install — generate-name stable/grafana — namespace grafana — set alertmanager.persistentVolume.storageClassName=”gp2"

abhya@abhyas-MacBook-Pro eks_class_code % kubectl get svc -n grafana

abhya@abhyas-MacBook-Pro eks_class_code % kubectl -n grafana port-forward svc/grafana-1594542481 8890:80