Cloud & Infrastructure

ECS vs EKS: Choosing Your AWS Container Orchestration Platform

BT

BeyondScale Team

Cloud Team

October 1, 20259 min read

Container orchestration is essential for running containerized applications at scale. AWS offers two primary options: Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Understanding their differences helps you make the right choice for your organization.

> Key Takeaways > > - ECS is simpler to operate and has no control plane fees, making it ideal for AWS-centric teams > - EKS provides Kubernetes portability and a rich ecosystem but adds $73/month per cluster and operational complexity > - Startups and small teams typically get to production faster with ECS > - Organizations with existing Kubernetes expertise or multi-cloud requirements should choose EKS

What Are the Core Differences Between ECS and EKS?

Amazon ECS is AWS's proprietary container orchestration service with deep AWS integration and zero control plane costs, while Amazon EKS is a managed Kubernetes service that provides industry-standard APIs, multi-cloud portability, and access to the Kubernetes ecosystem.

Amazon ECS

AWS's native container orchestration service:

  • Deeply integrated with AWS services
  • Simpler learning curve
  • Lower operational overhead
  • AWS-specific constructs and APIs

Amazon EKS

Managed Kubernetes on AWS:

  • Industry-standard Kubernetes
  • Portable across clouds and on-premises
  • Rich ecosystem of tools
  • Steeper learning curve
According to the 2024 CNCF Annual Survey, Kubernetes adoption in production environments has reached 84% among organizations running containers, making it the de facto standard for container orchestration (source: CNCF, 2024).

Feature Comparison

Control Plane

| Aspect | ECS | EKS | |--------|-----|-----| | Management | Fully managed, no cost | Managed, $0.10/hour/cluster | | API | AWS APIs | Kubernetes API | | Configuration | Task definitions | YAML manifests | | Updates | Automatic | Customer-managed |

Scheduling and Deployment

| Feature | ECS | EKS | |---------|-----|-----| | Scheduling | ECS service scheduler | Kubernetes scheduler | | Deployments | Rolling updates, blue/green | Rolling, blue/green, canary | | Autoscaling | Service auto scaling | HPA, VPA, Cluster Autoscaler | | Service Discovery | Cloud Map | CoreDNS, external DNS |

Integration with AWS Services

ECS Native Integration

ECS offers seamless integration with AWS services:

// ECS Task Definition with native integrations
{
  "family": "my-app",
  "networkMode": "awsvpc",
  "requiresCompatibilities": ["FARGATE"],
  "executionRoleArn": "arn:aws:iam::account:role/ecsTaskExecutionRole",
  "containerDefinitions": [{
    "name": "app",
    "image": "my-app:latest",
    "secrets": [{
      "name": "DB_PASSWORD",
      "valueFrom": "arn:aws:secretsmanager:region:account:secret:db-password"
    }],
    "logConfiguration": {
      "logDriver": "awslogs",
      "options": {
        "awslogs-group": "/ecs/my-app",
        "awslogs-region": "us-east-1"
      }
    }
  }]
}

EKS with AWS Integrations

EKS requires additional configuration for AWS integrations:

# EKS deployment with AWS integrations
apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
spec:
  template:
    spec:
      serviceAccountName: my-app-sa  # For IRSA
      containers:
      - name: app
        image: my-app:latest
        env:
        - name: DB_PASSWORD
          valueFrom:
            secretKeyRef:
              name: db-secrets
              key: password
---

Secrets CSI driver for Secrets Manager

apiVersion: secrets-store.csi.x-k8s.io/v1 kind: SecretProviderClass metadata: name: aws-secrets spec: provider: aws parameters: objects: | - objectName: "db-password" objectType: "secretsmanager"

How Complex Is Kubernetes on EKS Compared to ECS?

EKS requires managing Kubernetes-specific concepts including RBAC, add-ons, cluster upgrades, and YAML manifests, while ECS uses simpler AWS-native APIs and task definitions that are significantly easier to learn and operate.

ECS Operations

Simpler operational model:

  • Fewer moving parts to understand
  • AWS console provides comprehensive management
  • Built-in monitoring with CloudWatch
  • Straightforward IAM integration

EKS Operations

More components to manage:

  • Kubernetes control plane concepts
  • Add-ons (CoreDNS, kube-proxy, CNI)
  • RBAC and service accounts
  • Cluster upgrades require planning
A 2024 survey by Datadog found that among AWS container users, ECS is used by 55% of organizations while EKS is used by 45%, with ECS maintaining a lead among smaller teams and EKS favored by larger enterprises with multi-cloud strategies (source: Datadog State of Containers Report, 2024).

How Does ECS Pricing Compare to EKS?

ECS has no control plane charges, meaning you only pay for the underlying compute resources (EC2 or Fargate). EKS adds a $0.10/hour cluster fee ($73/month per cluster) on top of compute costs, which can add up significantly for organizations running multiple clusters.

ECS Costs

Total Cost = Compute (EC2/Fargate)
           + Data Transfer
           + Optional: Cloud Map

No control plane charges.

EKS Costs

Total Cost = Cluster fee ($0.10/hour = $73/month)
           + Compute (EC2/Fargate)
           + Data Transfer
           + Add-ons (some have costs)

For multiple small clusters, EKS costs add up.

Both ECS and EKS support EC2 and Fargate as compute options. For a detailed comparison of these compute choices, see our guide on EC2 vs Fargate for containers. You can also reduce compute costs further by running on Graviton4 ARM instances.

Use Case Recommendations

Choose ECS When:

  • AWS-Centric Environment
  • - Primary infrastructure on AWS - No multi-cloud requirements - Deep AWS service integration needed
  • Simpler Requirements
  • - Small to medium teams - Standard deployment patterns - Less complex networking needs
  • Quick Time to Production
  • - Faster learning curve - Simpler configuration - Less operational overhead
  • Cost Sensitivity
  • - No control plane charges - Lower operational cost - Straightforward pricing

    Choose EKS When:

  • Kubernetes Expertise
  • - Team already knows Kubernetes - Existing Kubernetes workloads - Kubernetes-specific tooling requirements
  • Portability Requirements
  • - Multi-cloud strategy - Hybrid cloud deployments - Avoid vendor lock-in concerns
  • Advanced Features
  • - Complex networking (service mesh) - Custom controllers and operators - Advanced scheduling requirements
  • Ecosystem Tools
  • - Helm charts - Operators for databases, monitoring - GitOps tools (ArgoCD, Flux)

    Migration Considerations

    From Docker Compose to ECS

    ECS provides a familiar path for Docker users:

    # Using ECS CLI
    ecs-cli compose --file docker-compose.yml service up

    From Kubernetes to ECS

    More significant changes required:

    • Convert Kubernetes manifests to task definitions
    • Adapt to ECS service concepts
    • Update CI/CD pipelines
    • Migrate service mesh if applicable

    From ECS to EKS

    Growing complexity often drives this migration:

    • Create Kubernetes manifests from task definitions
    • Set up IAM Roles for Service Accounts (IRSA)
    • Configure networking and ingress
    • Migrate secrets and configurations

    Scaling Comparison

    ECS Scaling

    # Service Auto Scaling
    aws application-autoscaling register-scalable-target \
      --service-namespace ecs \
      --scalable-dimension ecs:service:DesiredCount \
      --resource-id service/my-cluster/my-service \
      --min-capacity 2 \
      --max-capacity 10
    

    Scaling policy

    aws application-autoscaling put-scaling-policy \ --policy-name cpu-scaling \ --service-namespace ecs \ --resource-id service/my-cluster/my-service \ --scalable-dimension ecs:service:DesiredCount \ --policy-type TargetTrackingScaling \ --target-tracking-scaling-policy-configuration \ "TargetValue=70.0,PredefinedMetricSpecification={PredefinedMetricType=ECSServiceAverageCPUUtilization}"

    EKS Scaling

    # Horizontal Pod Autoscaler
    apiVersion: autoscaling/v2
    kind: HorizontalPodAutoscaler
    metadata:
      name: my-app-hpa
    spec:
      scaleTargetRef:
        apiVersion: apps/v1
        kind: Deployment
        name: my-app
      minReplicas: 2
      maxReplicas: 10
      metrics:
      - type: Resource
        resource:
          name: cpu
          target:
            type: Utilization
            averageUtilization: 70

    Security Comparison

    ECS Security

    • Task IAM roles for AWS permissions
    • Security groups for network isolation
    • Secrets Manager integration
    • VPC networking

    EKS Security

    • IRSA for AWS permissions
    • Kubernetes RBAC
    • Network policies
    • Pod security standards
    • Secrets management (CSI driver or external)
    For a comprehensive overview of securing your container workloads on AWS, refer to our AWS security services guide.

    Monitoring and Observability

    ECS Native Monitoring

    • CloudWatch Container Insights
    • X-Ray integration
    • CloudWatch Logs
    • AWS-native dashboards

    EKS Monitoring

    • Kubernetes-native metrics
    • Prometheus/Grafana ecosystem
    • CloudWatch Container Insights
    • Third-party observability tools

    Decision Framework

    Ask these questions:

  • Does your team know Kubernetes?
  • - Yes: EKS might be natural fit - No: ECS has lower learning curve
  • Do you need multi-cloud portability?
  • - Yes: EKS provides standard APIs - No: ECS offers simpler AWS integration
  • What's your operational capacity?
  • - Limited: ECS is easier to operate - Strong DevOps: Either works well
  • What's your timeline?
  • - Tight: ECS offers faster path to production - Flexible: Either can work
  • What ecosystem tools do you need?
  • - Kubernetes-specific: EKS required - AWS-native: ECS integrates better

    How BeyondScale Can Help

    At BeyondScale, we specialize in cloud infrastructure implementation and container orchestration strategy. Whether you're choosing between ECS and EKS for a new platform or migrating between orchestration services, our team can help you make the right decision and execute a smooth deployment.

    Explore our Implementation Services to learn more.

    Conclusion

    Both ECS and EKS are production-ready container orchestration platforms. Your choice depends on team expertise, portability requirements, and operational preferences.

    • ECS excels for AWS-centric deployments with simpler requirements
    • EKS is ideal for Kubernetes expertise, multi-cloud needs, or ecosystem tools
    Many organizations successfully use both services for different workloads. Start with your most pressing requirements and let those guide your decision.

    Frequently Asked Questions

    Should a startup choose ECS or EKS for container orchestration?

    Most startups benefit from starting with ECS due to its simpler learning curve, zero control plane costs, and deep AWS integration. ECS lets small teams get to production faster without needing Kubernetes expertise. EKS becomes a better fit if your team already has Kubernetes experience or you anticipate needing multi-cloud portability.

    How complex is Kubernetes on EKS compared to ECS?

    EKS requires managing Kubernetes-specific concepts including RBAC, add-ons like CoreDNS and kube-proxy, cluster upgrades, and YAML manifests. ECS uses simpler AWS-native APIs and task definitions that are significantly easier to learn and operate, especially for teams that are new to container orchestration.

    How does ECS pricing compare to EKS?

    ECS has no control plane charges, so you only pay for the underlying compute (EC2 or Fargate). EKS adds a $0.10 per hour cluster fee, which comes to $73 per month per cluster, plus compute and add-on costs. For organizations running multiple small clusters, EKS costs can add up significantly compared to ECS.

    Can I migrate from ECS to EKS or vice versa?

    Yes, migration is possible in both directions. Moving from ECS to EKS requires converting task definitions to Kubernetes manifests, setting up IAM Roles for Service Accounts (IRSA), and configuring networking and ingress. Moving from EKS to ECS involves converting Kubernetes manifests to ECS task definitions and adapting to ECS service concepts.

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    BT

    BeyondScale Team

    Cloud Team

    Cloud Team at BeyondScale Technologies, an ISO 27001 certified AI consulting firm and AWS Partner. Specializing in enterprise AI agents, multi-agent systems, and cloud architecture.

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