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Managing security and compliance across multiple AWS accounts can be challenging, especially when each account represents a different product, environment, or team structure. While isolating environments (such as production, staging, and development) in separate accounts improves security by limiting lateral movement, it also creates operational complexity. This post explores how to centralize security using native AWS services in a multi-account setup.

What is Amazon ECS (Elastic Container Service)

Amazon Elastic Container Service (Amazon ECS) is a managed platform designed for orchestrating containerized applications. It simplifies the deployment, scaling, and management of containers while incorporating AWS best practices for configuration and operations. ECS integrates seamlessly with AWS services like Amazon Elastic Container Registry (ECR) and external tools such as Docker, allowing teams to focus on application development rather than infrastructure management. With ECS, workloads can be efficiently scaled across AWS Regions and even on-premises without the need for manual control plane management.

Amazon ECS consists of three key layers:

  1. Capacity – The underlying infrastructure that hosts and runs your containers.

  2. Controller – Responsible for deploying and managing applications within the containers.

  3. Provisioning – A set of tools that interact with the scheduler to facilitate the deployment and management of applications and containers.

The capacity layer in Amazon ECS refers to the infrastructure where containers operate. Below are the available capacity options:

  • Amazon EC2 Instances (Cloud) – Users select instance types, determine the number of instances, and manage infrastructure capacity.
  • Serverless with AWS Fargate (Cloud) – A serverless compute engine that eliminates the need for server management, capacity planning, and workload isolation. It follows a pay-as-you-go model.
  • On-Premises Servers or Virtual Machines (VMs) – With Amazon ECS Anywhere, external instances, such as on-premises servers or VMs, can be registered to an ECS cluster for containerized workloads.

Provisioning Options for Amazon ECS

There are multiple ways to provision and manage Amazon ECS resources:
  • AWS Management Console – A web-based interface for accessing and managing ECS resources.
  • AWS Command Line Interface (CLI) – A tool that provides commands for interacting with ECS and other AWS services, available on Windows, Mac, and Linux.
  • AWS SDKs – Language-specific APIs that simplify interactions with AWS by handling authentication, request retries, and error management.
  • AWS CDK (Cloud Development Kit) – An open-source framework that allows users to define and provision cloud resources using familiar programming languages, leveraging AWS CloudFormation for safe and repeatable deployments.

Key Features of ECS:

  • AWS-Native Integration: Works seamlessly with AWS services like IAM, VPC, and CloudWatch.
  • Launch Flexibility: Supports both AWS Fargate (serverless) and EC2-backed instances.
  • Load Balancing: Easily integrates with AWS ALB, NLB, and Route 53 for managing traffic.
  • Networking Simplicity: Uses AWS VPC for networking and security without additional complexity.
  • Built-in Service Discovery: Native support for Amazon Service Discovery.
  • IAM-Based Security: Fine-grained security control with IAM roles for tasks and services.
  • Automatic Scaling: Supports ECS auto-scaling for dynamically adjusting container resources based on demand.

What is Amazon EKS (Elastic Kubernetes Service)

Amazon EKS is AWS’s managed Kubernetes service that provides full compatibility with open-source Kubernetes. EKS allows users to run Kubernetes workloads on EC2 instances, Fargate, or AWS Outposts. It is designed for organizations that need a Kubernetes-compatible environment with AWS’s reliability and scalability.

Unlike ECS, which abstracts away orchestration complexity, EKS requires users to manage Kubernetes components such as nodes, networking, service discovery, and RBAC policies. However, it provides full access to Kubernetes features, making it a great option for teams already using Kubernetes or requiring multi-cloud deployments.

Key Features of EKS:

  • Full Kubernetes Compatibility: Supports all Kubernetes APIs, tools, and workloads.
  • Multi-Cloud & Hybrid Support: Can run across AWS, on-premises, and other cloud providers using Kubernetes federation.
  • Custom Networking & Security: Provides fine-tuned networking with AWS VPC CNI and Calico for advanced network policies.
  • Autoscaling: Supports Kubernetes-native autoscaling mechanisms like Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA), and Cluster Autoscaler.
  • Extensibility: Compatible with Kubernetes plugins, Helm charts, and Custom Resource Definitions (CRDs).
  • Service Mesh Integration: Supports Istio and AWS App Mesh for advanced service-to-service communication.
  • Self-Healing Capabilities: Kubernetes automatically reschedules failed pods to maintain availability

When to Choose ECS Over EKS

ECS is often the better choice when you prioritize simplicity, deep AWS integration, and cost efficiency. Let’s explore the key scenarios where ECS is preferable

1. You Want a Fully Managed, Hassle-Free Service

If your goal is to focus on application development rather than managing Kubernetes clusters, ECS is the best choice. Unlike EKS, ECS does not require cluster management, node upgrades, or control plane maintenance.

  • No cluster management: ECS abstracts away cluster setup and maintenance.
  • No need for Kubernetes expertise: With ECS, you don’t have to manage Kubernetes complexities like API servers, etcd, or network policies.
  • Simpler deployment: ECS integrates easily with AWS Fargate, eliminating the need for managing EC2 instances.

2. You Are Heavily Invested in AWS Services

If your workloads rely on AWS-native services, ECS provides better integration and less operational overhead.

Key Benefits:

  • IAM integration: ECS uses AWS IAM roles directly, whereas EKS requires configuring Kubernetes RBAC and IAM roles separately.
  • CloudWatch Monitoring: ECS metrics and logs integrate natively with AWS CloudWatch, making monitoring easier.
  • AWS Fargate Support: With ECS, you can run containers serverlessly using Fargate, whereas EKS requires manual configuration to use Fargate.

3. Cost-Effectiveness is a Priority

ECS is generally more cost-efficient than EKS, especially for small-to-medium workloads.

  • No EKS Control Plane Costs: EKS charges $0.10 per hour per cluster, which adds up to $73 per month per cluster.
  • Fargate-Only Mode: Running containers on Fargate eliminates the cost of managing EC2 instances.
  • Lower Operational Overhead: ECS requires fewer engineers to maintain, reducing personnel costs.

If you don’t need Kubernetes-specific features, ECS helps you save money while running containerized workloads.

4. You Want Better Security and Simplicity

Security is crucial for any application, and ECS provides a simpler yet effective security model compared to EKS.

ECS Security Benefits:

  • IAM-based access control: ECS uses IAM roles per task and service, ensuring granular security.
  • Simplified networking: ECS tasks operate within AWS VPCs with built-in security policies.
  • No Kubernetes Complexity: EKS requires managing Kubernetes Role-Based Access Control (RBAC), API access, and security policies, which can be complex.

For companies that prioritize security with minimal operational effort, ECS is the ideal choice.

Conclusion

Choosing between ECS and EKS depends on your organization’s needs, expertise, and operational model. ECS is the best choice when you want:

Simplified container orchestration with no cluster management, Deep AWS integration with IAM, CloudWatch, and networking, Lower operational costs with Fargate and no control plane fees, Enhanced security without Kubernetes complexity, Faster and easier deployments with minimal configuration.
If you’re already invested in AWS and don’t require Kubernetes-specific features, ECS is the clear winner.However, if your application requires multi-cloud support, Kubernetes-native tooling, or advanced networking, then EKS may be the better choice.

Which one do you prefer: ECS or EKS? Let us know in the comments!

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