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ECS vs EKS Comparison

Module Overview

Estimated Time: 5-6 hours | Difficulty: Advanced | Prerequisites: Compute, Networking, DevOps
Containers are the foundation of modern cloud-native applications. The core value proposition: a container packages your application AND its dependencies into a single artifact that runs identically on a developer’s laptop, in CI/CD, and in production. No more “works on my machine.” This module provides deep coverage of container orchestration on AWS — specifically, the decision between ECS (AWS’s simpler, native orchestrator) and EKS (managed Kubernetes, the industry standard). The right choice depends less on technical capabilities and more on your team’s existing expertise and portability requirements. What You’ll Learn:
  • ECS architecture and task definitions
  • EKS cluster management and best practices
  • Fargate vs EC2 launch types
  • Service mesh with App Mesh
  • Container security and image management
  • Microservices design patterns

Container Services Overview


ECS Deep Dive

ECS Architecture

ECS Task Definition

ECS Service with Terraform


EKS Deep Dive

EKS Architecture

EKS with Terraform


Service Mesh (App Mesh)


Container Security

ECR Security Best Practices

Dockerfile Best Practices


🎯 Interview Questions

Choose ECS when:
  • Team is new to containers
  • Simple orchestration needs
  • Deep AWS integration required
  • Faster time to production
  • Less operational overhead
Choose EKS when:
  • Team has Kubernetes experience
  • Need multi-cloud portability
  • Complex scheduling requirements
  • Rich Kubernetes ecosystem needed
  • Already have K8s manifests
Key differences:
  • ECS: Task definitions, services
  • EKS: Pods, deployments, services
  • ECS: AWS-native, simpler
  • EKS: CNCF standard, portable
Fargate:
  • No infrastructure management
  • Per-task pricing
  • Faster scaling
  • Better for variable workloads
  • Higher per-unit cost
EC2:
  • Full control over instances
  • Lower cost at scale
  • GPU support
  • Spot instances
  • Host networking
Cost comparison (10 vCPU, 20GB RAM, 730 hrs):
  • Fargate: ~$450/month
  • EC2 (m5.xlarge): ~$280/month
  • EC2 Spot: ~$120/month
Options:
  1. Secrets Manager (recommended):
    • Rotation support
    • Fine-grained IAM
    • $0.40/secret/month
  2. Parameter Store:
    • Cost-effective
    • Hierarchical
    • No rotation
  3. Task Definition secrets:
Never:
  • Hardcode in images
  • Pass as env vars in task def
Sidecar pattern:
  • Helper container alongside main app
  • Share network namespace
  • Same lifecycle as main container
Common sidecars:
  • Envoy: Service mesh proxy
  • X-Ray daemon: Distributed tracing
  • Fluent Bit: Log aggregation
  • CloudWatch agent: Metrics
Example task definition:
ECS (CodeDeploy):
  • Blue/green with weighted target groups
  • Canary10Percent5Minutes config
  • CloudWatch alarms for rollback
EKS options:
  1. Native: Multiple deployments with ingress weights
  2. Flagger: Automated canary with Istio/App Mesh
  3. Argo Rollouts: Progressive delivery
Example (Argo Rollouts):

🧪 Hands-On Lab: Deploy Microservices on ECS

1

Create ECR Repositories

Create repositories for frontend, backend, and worker services
2

Build and Push Images

Build Docker images with multi-stage Dockerfiles, push to ECR
3

Create ECS Cluster

Fargate cluster with Container Insights enabled
4

Define Task Definitions

Task definitions with health checks, secrets, and logging
5

Deploy Services

Services with ALB integration and auto-scaling
6

Configure Service Discovery

Cloud Map namespace for inter-service communication

What’s Next?

Case Study: Serverless

Build a complete serverless application

Well-Architected

Review your architecture against best practices