Difference Between AWS (Amazon Web Services) ECS And AWS Fargate
Last Updated :
23 Jul, 2025
While both AWS ECS and Fargate play in the container orchestration field, their approaches diverge like two paths on a mountain trail. ECS empowers you with direct control over the underlying infrastructure, like an experienced builder crafting a custom container home. You choose and manage the bricks and mortar (EC2 instances) for a personalized container environment. On the other hand, Fargate takes the "ready-to-move-in" route, handling the infrastructure behind the scenes like a well-equipped concierge. You simply focus on your containers, leaving the server management to Fargate. The choice comes down to whether you seek control of a hands-on builder or the ease of a pre-built haven for your containerized applications.
Difference Between Amazon ECS And AWS Fargate
Feature | Amazon ECS | AWS Fargate |
---|
Scaling | Requires manual scaling based on EC2 instance capacity | Auto-scaling based on container requirements is more dynamic |
Encryption | Various server-side encryption options (SSE-S3, SSE-KMS, and SSE-C) | Similar server-side encryption options for data at rest |
Use Cases | Granular control, specific EC2 needs, existing investments | Serverless approach, no EC2 management, dynamic workloads |
Ease of Use | Involves manual infrastructure management | Simplified container management, no infrastructure management |
Cost Model | Additional costs for EC2 instance running and management | Granular billing per vCPU and memory per second for Fargate |
AWS ECS (Elastic Container Service)
The architecture of Amazon ECS: Amazon ECS (Elastic Container Service) offers a robust architecture for managing, orchestrating, and scaling containerized applications while providing users with full control over Amazon EC2 instances. With ECS, users have the autonomy to provision, configure, and manage EC2 instances according to their specific needs and preferences.
Control of Amazon ECS: ECS provides users with comprehensive control over their container infrastructure, allowing for meticulous customization of EC2 instances to align perfectly with individual requirements. This level of control is particularly beneficial for users who prioritize granular infrastructure management, have unique EC2 instance specifications, or wish to optimize existing EC2 investments.

Use Cases of Amazon ECS: Amazon ECS is ideally suited for users who:
- Embrace granular control over their infrastructure.
- Have distinct requirements for EC2 instances.
- Aim to leverage existing investments in EC2.
- Value the flexibility to optimize for specific workloads.
Why AWS Fargate?
AWS Fargate simplifies the process of deploying and managing containerized applications on AWS. With Fargate, you don't need to provision or manage the underlying infrastructure where your containers run. Instead, you specify your application requirements, such as CPU and memory, and AWS handles the rest, automatically scaling your application to meet demand. This eliminates the need for you to worry about server provisioning, scaling, or managing infrastructure. Fargate also provides enhanced security by isolating each container with its own environment, ensuring that your applications are protected from other containers running on the same infrastructure. Additionally, Fargate offers seamless integration with other AWS services, making it easy to build robust and scalable applications without the overhead of managing infrastructure. Overall, AWS Fargate streamlines the deployment and management of containerized applications, allowing you to focus on building and innovating your applications rather than managing infrastructure.
AWS Fargate
Architecture of AWS Fargate: AWS Fargate simplifies infrastructure management by abstracting away the complexities of EC2 instance provisioning and management. It provides a seamless environment for running containers, eliminating the need to handle underlying infrastructure. Fargate serves as a serverless compute engine designed specifically for containerized applications.
Control of AWS Fargate: Fargate delivers an exceptional serverless experience where AWS manages the infrastructure, enabling users to focus primarily on their containers and applications. Say goodbye to manual server management as AWS handles the operational details, providing convenience and ease of use for developers and operators alike.

Use Cases of AWS Fargate
Fargate is well-suited for users who:
- Prefer a hands-off approach to infrastructure management.
- Prioritize ease of use and require rapid scaling capabilities.
- Encounter variable or unpredictable container workloads.
- Aim to minimize operational overhead and complexity.
- Seek a cost-effective solution for managing dynamic workloads efficiently.
Key Considerations
- Ease of Use: Fargate streamlines container management, making it effortless to launch and scale containers without infrastructure overhead. ECS with EC2 instances provides greater flexibility but requires more hands-on infrastructure management.
- Cost: Fargate adopts a per-vCPU and memory per second billing model, offering granular cost control. ECS with EC2 instances involves additional costs associated with running and managing EC2 instances.
- Flexibility: ECS with EC2 instances grants extensive customization options for infrastructure, while Fargate prioritizes simplicity by abstracting away infrastructure details.
Benefits of AWS Fargate
AWS Fargate offers several benefits:
- Serverless: Allows you to run containers without managing servers or infrastructure, reducing operational overhead.
- Scalability: Automatically scales your containerized applications based on demand, ensuring optimal performance.
- Cost Optimization: Pay only for the resources used by your containers, leading to cost savings compared to traditional server-based deployments.
- Enhanced Security: Provides isolation between containers, ensuring strong security boundaries for your applications.
- Simplified Management: Streamlines the deployment and management of containerized applications, allowing you to focus on development rather than infrastructure maintenance.
How AWS ECS and Fargate works
Amazon ECS (Elastic Container Service) and AWS Fargate work together to provide a platform for running and managing containerized applications on AWS. Here's how they work:
Amazon ECS
- Amazon ECS is a fully managed container orchestration service. It allows you to run and manage Docker containers at scale.
- You define your application as a collection of tasks, each task consisting of one or more Docker containers.
- ECS manages the placement of these tasks onto a cluster of EC2 instances that you manage.
- You specify the compute resources (CPU, memory) required for each task, and ECS ensures that the tasks are distributed across the cluster efficiently.
AWS Fargate
- AWS Fargate is a serverless compute engine for containers that works with ECS. It allows you to run containers without managing the underlying infrastructure.
- With Fargate, you define your tasks in the same way as with ECS, but you don't need to provision or manage any EC2 instances.
- Instead, Fargate automatically provisions and scales the infrastructure needed to run your containers based on the CPU and memory requirements you specify.
- You only pay for the resources (CPU and memory) consumed by your containers, with billing based on per-second granularity.
How They Work Together
- You can choose to use either ECS with EC2 instances or ECS with Fargate, depending on your specific requirements and preferences.
- ECS provides flexibility and granular control over your container environment, making it suitable for organizations with specific infrastructure needs or existing investments in EC2.
- Fargate, on the other hand, offers a more simplified and serverless approach, where you can focus solely on your application without worrying about infrastructure management.
- Both ECS and Fargate integrate seamlessly with other AWS services, such as Elastic Load Balancing (ELB), Amazon CloudWatch for monitoring, and AWS Identity and Access Management (IAM) for security, providing a comprehensive platform for running and managing containerized applications on AWS.
AWS Fargate Components
Here is the key components of fargate in the AWS:
- Task Definition: A blueprint that describes how a container should run, including Docker container settings, CPU and memory requirements, networking configurations, and data volumes.
- Task: An instantiation of a task definition that represents a running container or a group of containers that share resources and configuration specified in the task definition.
- Cluster: A logical grouping of tasks and services. It acts as the resource pool for running tasks, providing isolation and resource management.
- Service: A managed service that ensures a specified number of tasks are running and maintains desired state, such as scaling tasks up or down based on demand.
- Container: A standard unit of software that packages up code and all its dependencies so the application runs reliably across different computing environments.
Amazon EC2 vs. AWS Fargate
Here is the key features of amazon ec2 and aws fargate.
Feature | Amazon EC2 | AWS Fargate |
---|
Infrastructure | Requires manual provisioning and management of EC2 instances | Abstracts away infrastructure management, no need to manage EC2 instances |
Scalability | Scalability is manual and based on EC2 instance capacity | Auto-scaling based on container requirements, more dynamic |
Pricing Model | Pay for EC2 instance usage, regardless of resource utilization | Granular billing per vCPU and memory per second for Fargate |
Conclusion
The choice between AWS ECS and AWS Fargate hinges on the specific requirements and preferences of the user. AWS ECS provides hands-on container planning that helps offering users control over the underlying EC2 instances, making it ideal for those with infrastructure expertise and specific requirements. On the other hand AWS Fargate helps in solving various infrastructure complexities which provides a serverless experience that is designed for users who prefer a streamlined approach and want to avoid managing EC2 instances. This decision involves trade offs between control, flexibility, ease of use and cost considerations, allowing users to tailor their containerized applications based on their unique needs and priorities.
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