Aws
AwsIntermediate

AWS ECS vs EKS in 2024: A Comprehensive Comparison

DevHub Team
6 min read
ECSEKSContainersKubernetesDocker

TL;DR

An in-depth comparison of Amazon ECS and EKS, helping you choose the right container orchestration service for your needs in 2024

AWS ECS vs EKS in 2024: A Comprehensive Comparison

Choosing between Amazon Elastic Container Service (ECS) and Elastic Kubernetes Service (EKS) is a crucial decision for containerized applications. This guide compares both services to help you make an informed choice in 2024.

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``mermaid

graph TB

subgraph ECS["Amazon ECS"]

direction TB

EC["ECS Cluster"]

TD["Task Definition"]

SV["Service"]

CT["Container"]

end

subgraph EKS["Amazon EKS"]

direction TB

KC["Kubernetes Cluster"]

PD["Pod"]

DP["Deployment"]

CN["Container"]

end

classDef aws fill:#FF9900,stroke:#232F3E,color:#232F3E

class ECS,EKS aws

`

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Feature ECS EKS
Orchestration AWS-specific Kubernetes
Learning Curve Lower Higher
Control AWS-managed Full K8s control
Pricing Lower Higher
Portability AWS-specific Cloud-agnostic
Community AWS-focused Large K8s community
Integration Native AWS Requires setup
Scaling Simple Advanced

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`yaml

ECS Task Definition Example

{

"family": "web-app",

"containerDefinitions": [

{

"name": "web",

"image": "nginx:latest",

"memory": 256,

"cpu": 256,

"portMappings": [

{

"containerPort": 80,

"hostPort": 80,

"protocol": "tcp"

}

]

}

],

"requiresCompatibilities": ["FARGATE"],

"networkMode": "awsvpc",

"memory": "512",

"cpu": "256"

}

`

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`yaml

Kubernetes Deployment Example

apiVersion: apps/v1

kind: Deployment

metadata:

name: web-app

spec:

replicas: 3

selector:

matchLabels:

app: web

template:

metadata:

labels:

app: web

spec:

containers:

- name: web

image: nginx:latest

resources:

requests:

memory: "256Mi"

cpu: "250m"

limits:

memory: "512Mi"

cpu: "500m"

ports:

- containerPort: 80

`

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`typescript

// AWS CDK Example for ECS

import * as ecs from 'aws-cdk-lib/aws-ecs';

import * as ec2 from 'aws-cdk-lib/aws-ec2';

const cluster = new ecs.Cluster(this, 'Cluster', {

vpc: new ec2.Vpc(this, 'Vpc')

});

const taskDefinition = new ecs.FargateTaskDefinition(this, 'TaskDef');

taskDefinition.addContainer('web', {

image: ecs.ContainerImage.fromRegistry('nginx:latest'),

memoryLimitMiB: 512,

cpu: 256,

portMappings: [{ containerPort: 80 }]

});

`

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`typescript

// AWS CDK Example for EKS

import * as eks from 'aws-cdk-lib/aws-eks';

import * as ec2 from 'aws-cdk-lib/aws-ec2';

const cluster = new eks.Cluster(this, 'Cluster', {

version: eks.KubernetesVersion.V1_27,

defaultCapacity: 2,

defaultCapacityInstance: ec2.InstanceType.of(

ec2.InstanceClass.T3,

ec2.InstanceSize.MEDIUM

)

});

cluster.addManifest('web-app', {

apiVersion: 'apps/v1',

kind: 'Deployment',

metadata: { name: 'web-app' },

spec: {

replicas: 3,

selector: { matchLabels: { app: 'web' } },

template: {

metadata: { labels: { app: 'web' } },

spec: {

containers: [{

name: 'web',

image: 'nginx:latest'

}]

}

}

}

});

`

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`yaml

ECS Service with Application Load Balancer

Resources:

Service:

Type: AWS::ECS::Service

Properties:

Cluster: !Ref Cluster

TaskDefinition: !Ref TaskDefinition

DesiredCount: 2

LaunchType: FARGATE

LoadBalancers:

- ContainerName: web

ContainerPort: 80

TargetGroupArn: !Ref TargetGroup

`

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`yaml

EKS with AWS Load Balancer Controller

apiVersion: networking.k8s.io/v1

kind: Ingress

metadata:

name: web-ingress

annotations:

kubernetes.io/ingress.class: alb

alb.ingress.kubernetes.io/scheme: internet-facing

spec:

rules:

- http:

paths:

- path: /

pathType: Prefix

backend:

service:

name: web-service

port:

number: 80

`

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`json

{

"Type": "AWS::ApplicationAutoScaling::ScalingPolicy",

"Properties": {

"PolicyName": "CPUScaling",

"PolicyType": "TargetTrackingScaling",

"ScalingTargetId": { "Ref": "ScalingTarget" },

"TargetTrackingScalingPolicyConfiguration": {

"TargetValue": 70.0,

"PredefinedMetricSpecification": {

"PredefinedMetricType": "ECSServiceAverageCPUUtilization"

}

}

}

}

`

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`yaml

apiVersion: autoscaling/v2

kind: HorizontalPodAutoscaler

metadata:

name: web-hpa

spec:

scaleTargetRef:

apiVersion: apps/v1

kind: Deployment

name: web-app

minReplicas: 2

maxReplicas: 10

metrics:

- type: Resource

resource:

name: cpu

target:

type: Utilization

averageUtilization: 70

`

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1. Fargate Pricing

- vCPU per hour: $0.04048

- Memory per GB-hour: $0.004445

- No cluster management fee

2. EC2 Launch Type

- Only pay for EC2 instances

- Additional EBS volumes

- No additional orchestration costs

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1. Cluster Costs

- $0.10 per hour per cluster

- Control plane management fee

2. Node Costs

- EC2 instance costs

- EBS volumes

- Additional services (Load Balancer, etc.)

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`json

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Action": [

"ecs:CreateCluster",

"ecs:DeregisterContainerInstance",

"ecs:DiscoverPollEndpoint",

"ecs:Poll",

"ecs:RegisterContainerInstance",

"ecs:StartTelemetrySession",

"ecs:Submit*",

"ecr:GetAuthorizationToken",

"ecr:BatchCheckLayerAvailability",

"ecr:GetDownloadUrlForLayer",

"ecr:BatchGetImage"

],

"Resource": "*"

}

]

}

`

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`yaml

apiVersion: rbac.authorization.k8s.io/v1

kind: Role

metadata:

namespace: default

name: pod-reader

rules:

  • apiGroups: [""]
  • resources: ["pods"]

    verbs: ["get", "list", "watch"]

    ---

    apiVersion: rbac.authorization.k8s.io/v1

    kind: RoleBinding

    metadata:

    name: read-pods

    namespace: default

    subjects:

  • kind: User
  • name: jane

    apiGroup: rbac.authorization.k8s.io

    roleRef:

    kind: Role

    name: pod-reader

    apiGroup: rbac.authorization.k8s.io

    `

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    `python

    import boto3

    import datetime

    cloudwatch = boto3.client('cloudwatch')

    def get_ecs_metrics():

    response = cloudwatch.get_metric_statistics(

    Namespace='AWS/ECS',

    MetricName='CPUUtilization',

    Dimensions=[

    {'Name': 'ClusterName', 'Value': 'production'},

    {'Name': 'ServiceName', 'Value': 'web-app'}

    ],

    StartTime=datetime.datetime.utcnow() - datetime.timedelta(hours=1),

    EndTime=datetime.datetime.utcnow(),

    Period=300,

    Statistics=['Average']

    )

    return response

    `

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    `yaml

    apiVersion: monitoring.coreos.com/v1

    kind: ServiceMonitor

    metadata:

    name: web-monitor

    spec:

    selector:

    matchLabels:

    app: web

    endpoints:

    - port: web

    interval: 15s

    `

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    Requirement ECS EKS
    Simple Workloads ⚠️
    Complex Orchestration ⚠️
    AWS-Native Integration ⚠️
    Multi-Cloud Strategy ⚠️
    Cost-Effectiveness ⚠️
    Learning Curve ⚠️
    Community Support ⚠️
    Enterprise Features ⚠️

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    1. Task Definition Design

    - Use task definition versioning

    - Implement proper logging

    - Set appropriate resource limits

    - Use secrets management

    2. Service Configuration

    - Enable service auto scaling

    - Use appropriate deployment strategies

    - Implement health checks

    - Configure service discovery

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    1. Cluster Management

    - Use managed node groups

    - Implement proper RBAC

    - Enable cluster autoscaler

    - Use pod security policies

    2. Application Deployment

    - Use Helm charts

    - Implement pod disruption budgets

    - Configure resource requests/limits

    - Use network policies

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    `bash

    Example migration script

    #!/bin/bash

    Pull existing images

    docker pull old-registry/app:latest

    Tag for ECR

    docker tag old-registry/app:latest ${AWS_ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/app:latest

    Push to ECR

    aws ecr get-login-password --region ${REGION} | docker login --username AWS --password-stdin ${AWS_ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com

    docker push ${AWS_ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/app:latest

    Update ECS service

    aws ecs update-service --cluster production --service web-app --force-new-deployment

    `

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    `bash

    Example migration script

    #!/bin/bash

    Install required tools

    curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"

    sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl

    Update kubeconfig

    aws eks update-kubeconfig --name my-cluster --region ${REGION}

    Apply manifests

    kubectl apply -f k8s/

    ``

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    Choose ECS if you:

  • Need simple container orchestration
  • Want deep AWS integration
  • Have budget constraints
  • Prefer managed services
  • Choose EKS if you:

  • Need Kubernetes features
  • Want cloud portability
  • Have complex orchestration needs
  • Need extensive community support
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    1. [AWS ECS Documentation](https://docs.aws.amazon.com/ecs/)

    2. [AWS EKS Documentation](https://docs.aws.amazon.com/eks/)

    3. [ECS vs EKS Pricing](https://aws.amazon.com/pricing/)

    4. [Container Services Blog](https://aws.amazon.com/blogs/containers/)

    5. [ECS Best Practices](https://docs.aws.amazon.com/AmazonECS/latest/bestpracticesguide/)

    6. [EKS Best Practices](https://aws.github.io/aws-eks-best-practices/)

  • [AWS Lambda Container Support: A Comprehensive Guide](/posts/aws/lambda-container-guide) - Learn about serverless container deployments
  • [AWS App Runner: Simplified Container and Source Code Deployment](/posts/aws/app-runner) - Explore a managed container service
  • [AWS Graviton3: Next-Generation ARM-based Computing](/posts/aws/graviton3) - Optimize container workloads with ARM processors
  • [Introduction to AWS Fargate: Serverless Container Orchestration](/posts/aws/introduction-to-aws-fargate) - Learn about serverless container orchestration
  • Why This Matters

    Understanding the business and technical context helps you make informed decisions rather than blindly following patterns.

    Trade-offs to Consider

    Every architectural decision involves trade-offs. Consider your specific requirements, team expertise, and scale when evaluating options.

    When NOT to Use This

    Knowing when a solution doesn't apply is as valuable as knowing when it does. Consider alternatives for your specific situation.

    Decision Framework

    Use this framework to evaluate whether this approach is right for your use case based on your specific constraints and requirements.