Amazon EKS Beginner : Elastic Kubernetes Service by AWS

Create and configure an EKS service IAM role, review service policies and permissions, then create an IAM user with MFA and programmatic access for cluster management.

Learn to design a custom VPC for an Amazon EKS cluster, including two public and two private subnets across two availability zones, with internet and NAT gateways and security groups.

Install and configure aws cli, kubectl, and eksctl to provision an eks cluster, deploy workloads, and manage authentication with access keys and secret keys.

Configure kubeconfig to connect to a running cluster and verify connectivity to the api server with the AWS IAM authenticator, then understand authentication tokens and authorization via the config map.

Enable and review audit and diagnostic logs in Amazon EKS, covering control plane components from API server to authenticator, and view them in CloudWatch log groups for auditing and troubleshooting.

Learn to create an EKS cluster with eksctl, bypassing manual console steps by provisioning prerequisites, VPCs, subnets, and IAM roles, and verify access with kubectl.

Launch worker nodes for your EKS cluster using cloud formation in AWS, selecting private subnets, configuring auto scaling groups and security groups, using optimized image types for Linux and Windows.

Launch a cloud formation stack to create the EKS cluster resources, including the node group. Examine three security groups and their inbound rules that enable API server communication with workers.

Configure a bastion host to SSH into worker nodes in an AWS EKS cluster, enable public IP, open port 22 in security groups, and verify the cluster runs workloads.

Deploy a sample hello world app to an Amazon EKS cluster by creating a deployment and service, applying with kubectl, and exposing it via a load balancer for browser access.

Explore deployments and replicas by launching a sample app on a Kubernetes cluster, exposing it with a load balancer in public subnets, and see how a replica set maintains availability.

Learn how to monitor a Kubernetes cluster using metrics-server, collect CPU, memory, and network metrics, and access data with kubectl top or Prometheus.

Explore how the ALB ingress controller configures public or internal load balancers with annotations and deploys a sample app behind an ingress to manage traffic routing.

Discover how the horizontal pod autoscaler in Amazon EKS automatically scales deployment replicas from min to max values based on CPU utilization, using a metrics server to guide scaling.