Both are container orchestration services on AWS, but they use different technologies.
Amazon ECS (Elastic Container Service)
What is it?
AWS’s proprietary container orchestration service
Native AWS service designed specifically for the AWS ecosystem
Simpler to set up and manage if you’re all-in on AWS
Key Features:
Deep integration with AWS services (ALB, CloudWatch, IAM, etc.)
Two launch types: EC2 or Fargate
Simple task definitions using JSON
No extra cost – only pay for underlying resources
Easier learning curve for AWS users
Best For:
Teams already invested in AWS
Simpler container workloads
When you want tight AWS integration
Getting started quickly with containers
Amazon EKS (Elastic Kubernetes Service)
What is it?
Managed Kubernetes service on AWS
Based on the open-source Kubernetes project
Industry-standard container orchestration
Key Features:
Full Kubernetes compatibility
Can run on EC2, Fargate, or even on-premises
Uses standard Kubernetes YAML manifests
Portable across clouds (not locked to AWS)
Large ecosystem and community support
Additional cost (~$0.10/hour per cluster)
Best For:
Multi-cloud or hybrid cloud strategies
Teams already using Kubernetes
Complex orchestration needs
When you need Kubernetes-specific features
Portability and avoiding vendor lock-in
Quick Comparison:
Feature
ECS
EKS
Technology
AWS proprietary
Open-source Kubernetes
Complexity
Simpler
More complex
Portability
AWS only
Multi-cloud
Cost
Free (pay resources)
$0.10/hr + resources
Learning Curve
Easier
Steeper
Ecosystem
AWS services
Kubernetes ecosystem
Simple analogy: ECS is like using an iPhone (simple, integrated), EKS is like using Android (flexible, portable).
Is ECS a serverless?
Amazon ECS (Elastic Container Service) is not fully serverless, but it has a serverless option:
ECS Launch Types:
EC2 Launch Type – Not serverless
You manage the underlying EC2 instances
You’re responsible for scaling, patching, and maintaining the infrastructure
Fargate Launch Type – Serverless
AWS manages the underlying infrastructure
You only define CPU, memory, and deploy containers
No server management required
Pay only for resources your containers use
Comparison:
ECS on EC2: You provision and manage EC2 instances, then run containers on them
ECS on Fargate: AWS handles all infrastructure, you just run containers
AWS Fargate Explained
AWS Fargate is a serverless compute engine for containers that works with both Amazon ECS and Amazon EKS.
Key Concepts:
What is Fargate?
Removes the need to provision and manage servers
You define your application’s requirements (CPU, memory, networking)
AWS automatically provisions, scales, and manages the infrastructure
Pay only for the resources your containers actually use
How It Works:
Define your container: Specify Docker image, CPU, memory requirements
Deploy: Launch your container using ECS or EKS
Fargate handles: Server provisioning, scaling, patching, security
You focus on: Your application code and business logic
Benefits:
✅ No server management – No EC2 instances to configure or maintain ✅ Automatic scaling – Scales containers independently ✅ Improved security – Each task runs in its own isolated environment ✅ Pay per use – Billed based on vCPU and memory resources used ✅ Faster deployment – No need to wait for EC2 instances to launch
Use Cases:
Microservices architectures
Batch processing jobs
CI/CD pipelines
Web applications with variable traffic
Machine learning workloads
Pricing Model:
Charged per vCPU-hour and GB-memory-hour
Billed per second with 1-minute minimum
No upfront costs or minimum fees
Think of it as: Lambda for containers – you bring the container, AWS handles everything else.
Amazon ECS vs EKS
Both are container orchestration services on AWS, but they use different technologies.
Amazon ECS (Elastic Container Service)
What is it?
AWS’s proprietary container orchestration service
Native AWS service designed specifically for the AWS ecosystem
Simpler to set up and manage if you’re all-in on AWS
Key Features:
Deep integration with AWS services (ALB, CloudWatch, IAM, etc.)
Two launch types: EC2 or Fargate
Simple task definitions using JSON
No extra cost – only pay for underlying resources
Easier learning curve for AWS users
Best For:
Teams already invested in AWS
Simpler container workloads
When you want tight AWS integration
Getting started quickly with containers
Amazon EKS (Elastic Kubernetes Service)
What is it?
Managed Kubernetes service on AWS
Based on the open-source Kubernetes project
Industry-standard container orchestration
Key Features:
Full Kubernetes compatibility
Can run on EC2, Fargate, or even on-premises
Uses standard Kubernetes YAML manifests
Portable across clouds (not locked to AWS)
Large ecosystem and community support
Additional cost (~$0.10/hour per cluster)
Best For:
Multi-cloud or hybrid cloud strategies
Teams already using Kubernetes
Complex orchestration needs
When you need Kubernetes-specific features
Portability and avoiding vendor lock-in
Quick Comparison:
Feature
ECS
EKS
Technology
AWS proprietary
Open-source Kubernetes
Complexity
Simpler
More complex
Portability
AWS only
Multi-cloud
Cost
Free (pay resources)
$0.10/hr + resources
Learning Curve
Easier
Steeper
Ecosystem
AWS services
Kubernetes ecosystem
Simple analogy: ECS is like using an iPhone (simple, integrated), EKS is like using Android (flexible, portable).
Use API Gateway + ECS + Fargate To Deploy API
Here’s how to deploy your containerized API:
Architecture Overview:
Client → API Gateway → VPC Link/ALB → ECS Service (Fargate) → Your Container (ECR)
Deployment Steps:
1. Push Docker Image to ECR ✅ (You’ve done this)
# Build and push to ECR
docker build -t my-api .
docker tag my-api:latest <account-id>.dkr.ecr.<region>.amazonaws.com/my-api:latest
docker push <account-id>.dkr.ecr.<region>.amazonaws.com/my-api:latest
2. Create ECS Task Definition
Reference your ECR image
Specify CPU, memory (e.g., 256 CPU, 512 MB)
Set port mappings (e.g., container port 8080)
Choose Fargate launch type
3. Create ECS Service
Deploy task in a VPC with subnets
Use Application Load Balancer (ALB) or Network Load Balancer (NLB)
Configure auto-scaling if needed
4. Integrate API Gateway
Two options:
Option A: HTTP API → ALB (Recommended)
API Gateway HTTP API → ALB → ECS/Fargate
Simpler, cheaper, lower latency
Use VPC Link (for private) or public ALB
Option B: REST API → VPC Link → NLB
API Gateway REST API → VPC Link → NLB → ECS/Fargate
More features (request validation, caching, etc.)
Additional cost
Sample Architecture (Recommended):
┌─────────────┐
│ API Gateway │
│ (HTTP API) │
└──────┬──────┘
│
▼
┌─────────────┐
│ ALB │ (Application Load Balancer)
└──────┬──────┘
│
▼
┌─────────────┐
│ ECS Service │
│ (Fargate) │
│ │
│ ┌─────────┐ │
│ │Container│ │ ← Your API from ECR
│ └─────────┘ │
└─────────────┘
Why This Works Well:
✅ Scalable: Fargate auto-scales based on traffic ✅ Serverless: No server management ✅ Cost-effective: Pay only for what you use ✅ Secure: Private VPC networking ✅ Managed: API Gateway handles routing, throttling, auth
Alternative (Simpler):
If you want even simpler, skip API Gateway and expose ALB directly:
Client → ALB → ECS/Fargate → Container
Use this if you don’t need API Gateway features like:
Custom domain/SSL via API Gateway
Request transformation
Usage plans/API keys
Built-in authentication
Answer: Yes, this is a valid and common AWS architecture! 🚀
Lambda vs ECS + Fargate
Let me compare these two approaches:
AWS Lambda (Serverless Functions)
What is it?
Run code without containers or servers
Event-driven, short-lived functions
Maximum 15 minutes execution time
Pros:
✅ Simplest – Just upload code, no Docker needed ✅ Auto-scales instantly (0 to thousands) ✅ Pay per request – Very cost-effective for sporadic traffic ✅ Built-in API Gateway integration ✅ No infrastructure management ✅ Free tier – 1M requests/month
Cons:
❌ 15-minute timeout limit ❌ Cold starts (100ms-1s delay) ❌ Limited resources (10GB memory max) ❌ Limited runtime support ❌ Not ideal for long-running processes
Best For:
REST APIs with simple logic
Event processing
Microservices with short execution times
Infrequent or spiky traffic
When you want zero infrastructure management
ECS + Fargate (Containerized Applications)
What is it?
Run Docker containers without managing servers
Long-running services
No execution time limits
Pros:
✅ No timeout limits – Run as long as needed ✅ Any runtime/language – Full Docker flexibility ✅ More resources – Up to 16 vCPU, 120GB memory ✅ No cold starts – Always warm ✅ Better for stateful apps ✅ Full control over environment ✅ Existing Docker images work as-is
Cons:
❌ More complex – Need to manage Docker, task definitions ❌ Always running – Pay even with zero traffic (unless scaled to 0) ❌ Slower scaling than Lambda ❌ Need ALB/NLB for API exposure ❌ Higher minimum cost
Best For:
Long-running APIs
Applications with consistent traffic
Complex dependencies
When you already have Docker containers
WebSocket connections
Background workers/batch jobs
Cost Comparison Example:
Scenario: API with 1M requests/month, 1GB memory, 1s avg execution
Service
Cost Breakdown
Lambda
~$20/month (pay per invocation)
ECS + Fargate
~$30-50/month (always running 1 task)
For low/sporadic traffic: Lambda wins For consistent traffic: Fargate becomes cheaper at scale
Decision Matrix:
Choose Lambda if:
├─ Execution < 15 minutes
├─ Sporadic/unpredictable traffic
├─ Simple dependencies
├─ Want zero infrastructure
└─ Cost optimization for low traffic
Choose ECS + Fargate if:
├─ Long-running processes
├─ Consistent traffic
├─ Complex Docker setup
├─ Need full OS control
├─ Cold starts are unacceptable
└─ Already have containers
For Your API:
Use Lambda if:
Simple REST API
Request-response pattern
< 15 min processing
Low/variable traffic
Use ECS + Fargate if:
Already containerized
Long-running connections (WebSockets)
Need specific OS/runtime
Consistent high traffic
Complex dependencies
Hybrid Approach:
You can also use both:
Lambda for API endpoints
ECS + Fargate for background processing/workers
Bottom line: For a typical REST API from Docker, Lambda is simpler, but ECS + Fargate gives more control. Start with Lambda unless you have specific container requirements! 🚀