EKS

Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service that simplifies the deployment, management, and scaling of containerized applications using Kubernetes on AWS.

Key Features

Managed Control Plane

• Fully managed, highly available Kubernetes control plane

• Automated version updates and patching

• Integrated with AWS services

• Multi-AZ deployment for high availability

Node Types

1. Managed Node Groups

# Example managed node group configuration
apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig
metadata:
  name: example-cluster
  region: us-west-2
managedNodeGroups:
  - name: managed-ng-1
    instanceType: m5.large
    minSize: 2
    maxSize: 5
    desiredCapacity: 3

1. Self-Managed Nodes

• Custom AMIs

• Specialized hardware requirements

• Specific security requirements

1. Fargate Profiles

# Example Fargate profile
apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig
metadata:
  name: example-cluster
fargateProfiles:
  - name: profile-1
    selectors:
      - namespace: backend
        labels:
          env: prod

Security Features

Integration with AWS IAM

• Pod IAM roles

• IRSA (IAM Roles for Service Accounts)

• Cluster authentication

# Configure kubectl
aws eks update-kubeconfig --name cluster-name --region region-code

Network Security

• VPC integration

• Security groups

• Network policies

• AWS Shield integration

Scaling & High Availability

Cluster Autoscaling

# Example Cluster Autoscaler configuration
apiVersion: apps/v1
kind: Deployment
metadata:
  name: cluster-autoscaler
spec:
  replicas: 1
  selector:
    matchLabels:
      app: cluster-autoscaler
  template:
    metadata:
      labels:
        app: cluster-autoscaler
    spec:
      containers:
        - image: k8s.gcr.io/autoscaling/cluster-autoscaler:v1.21.0
          name: cluster-autoscaler

Load Balancing

• ALB/NLB integration

• Automatic scaling

• SSL/TLS termination

Monitoring & Logging

• CloudWatch integration

• Container Insights

• Prometheus/Grafana support

• FluentBit for logging

Cost Optimization

• Spot instance support

• Fargate for serverless

• Resource quotas

• Cost allocation tags

Best Practices

1. Security

   • Use IRSA for pod permissions

   • Implement network policies

   • Regular security updates

2. Reliability

   • Multi-AZ deployment

   • Node group distribution

   • Backup and DR planning

3. Performance

   • Right-size nodes

   • Use cluster autoscaling

   • Implement horizontal pod autoscaling

Common Use Cases

1. Microservices Architecture

2. CI/CD Pipelines

3. Machine Learning Workloads

4. Batch Processing

5. Edge Computing