π³ ECS & Fargate
Master ECS and Fargate for containerized data workloads on AWS.
Module: AWS Data Engineering β’ Topic 50 of 65 β’ Premium Content
ECS/Fargate Architecture
Architecture Diagram
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β ECS & FARGATE ARCHITECTURE β
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β ECS Service β Task Definition β Container (Docker image) β
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β Launch Types: β
β β’ EC2: You manage EC2 instances β
β β’ Fargate: Serverless, AWS manages infrastructure β
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β Data Processing Patterns: β
β β’ Spark on containers β
β β’ Custom ETL containers β
β β’ ML inference containers β
β β’ Streaming processors β
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β Integration: β
β β’ ECR for container images β
β β’ ALB for load balancing β
β β’ IAM roles for task permissions β
β β’ CloudWatch for monitoring β
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Interview Q&A
Q1: ECS vs. EKS?
Answer: ECS: AWS-native, simpler, less config. EKS: Kubernetes, more portable, complex. ECS for AWS-focused, EKS for multi-cloud.
Q2: Fargate vs. EC2 launch type?
Answer: Fargate: serverless, pay per task, no instance management. EC2: more control, lower cost at scale, instance management.
Q3: When to use containers for data processing?
Answer: Custom environments, reproducible builds, multi-tenant isolation, mixed workloads, microservices architectures.
Summary
- ECS: AWS-native container orchestration
- Fargate: Serverless containers, no instance management
- ECR: Container image storage
- Use Cases: Spark, custom ETL, ML inference, streaming
- Pricing: Fargate per vCPU-hour + GB-hour