Containers on AWS: Why They’re Essential for Modern Cloud Architecture

Date:January 29, 2026

Author:Adam Novotny

Reading time:8 min

Category:Article

Navigation:1. What are AWS Containers?2. Benefits of Using Containers on AWS 3. Overview of AWS Container Services 4. Conclusion

In this article, you will learn:

What are AWS Containers?
Benefits of Using Containers on AWS
Overview of AWS Container Services
AWS Container Orchestration Options

Containers are increasingly central to modern cloud architectures, particularly in the AWS environment. Their ability to isolate and manage applications efficiently makes them a crucial tool for any technology-driven business aiming to enhance operational flexibility and scalability. Containers streamline architecture deployment processes, improve resource utilization, and drive cost efficiencies, making them invaluable for continuous integration and deployment, microservices architecture, and disaster recovery scenarios.

While AWS containerization is growing steadily, it is crucial to understand what it is about and how you can leverage it. This blog will explore the fundamentals of AWS containers, its benefits, and AWS container services. Read on!

What are AWS Containers?

AWS containers are a suite of services designed to manage, deploy, and run containerized applications securely and efficiently. At the core, containers on AWS enable isolation and application management through virtualization, allowing you to run applications in lightweight, portable environments.

Key AWS container services include Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), AWS Fargate, and Amazon Elastic Container Registry (ECR), catering to various deployment needs and operational complexities.

Benefits of Using Containers on AWS

AWS containerization streamlines application deployment and management, offering significant advantages:

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Scalability and Flexibility: AWS containers support efficient workload management with auto-scaling and load balancing, ensuring resources adjust in real-time to meet demand. This dynamic scaling helps maintain performance and cost-effectiveness without manual intervention.
Cost Optimization: Leveraging a pay-as-you-go model, AWS allows for cost-effective container operations. You only pay for the resources you actually provision, reducing unnecessary spend. Services like AWS Fargate enhance this benefit by eliminating the need for server and cluster management, further reducing costs.
Enhanced Security: AWS integrates robust security features such as IAM roles, VPC integrations, and automated image scanning. These features help protect your applications by securing operations and data across all stages of deployment.
Ease of Management: AWS simplifies container operations across its services. With Fargate, server management is eliminated, letting you focus on applications. Amazon ECS offers seamless integration with other AWS services, reducing orchestration complexity, while Amazon EKS automates tasks like patching and node provisioning, simplifying Kubernetes management. Together, these services minimize infrastructure maintenance, allowing developers to concentrate on building and accelerating development cycles.

Overview of AWS Container Services

Let's explore the diverse range of AWS container services designed to meet various application deployment and AWS container management needs:

Amazon Elastic Container Service (ECS)

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Image source: Amazon ECS

Amazon ECS is a highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS.

ECS eliminates the need to install and operate your own container orchestration software, manage and scale a cluster of virtual machines, or schedule containers on those machines. It integrates deeply with AWS infrastructure and services, offering enhanced security features and automatic scaling based on demand.

A standout feature, ECS Anywhere, enables running containers on-premises, extending ECS capabilities beyond AWS to your own infrastructure.

Here are some of its primary use cases:

Microservices architecture: Ideal for managing complex applications comprised of multiple microservices that can be deployed and managed independently.

Batch processing: Efficiently manage batch computing workloads, allowing for scalable job scheduling.

Continuous integration and continuous deployment (CI/CD): Automate the build, test, and deployment pipeline for applications using AWS services like CodePipeline, CodeBuild, and CodeDeploy. AWS CodePipeline manages the entire CI/CD process, from code changes to deployment, while CodeBuild handles the build and testing phases. CodeDeploy integrates with ECS and EKS, ensuring seamless and automated deployments across containerized applications.

If you're deciding between ECS and EKS for your container orchestration needs, check out our comparison: AWS ECS vs. EKS.

Amazon Elastic Kubernetes Service (EKS)

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Image Source: Amazon EKS

Amazon EKS is a managed Kubernetes service that makes it easier to run Kubernetes applications on AWS or on-premises. EKS automates many of the complex tasks involved in managing Kubernetes, such as node provisioning, patching, and scaling. It provides a highly available and secure environment that integrates seamlessly with AWS services and features. EKS also supports hybrid deployments using EKS Anywhere, allowing you to manage Kubernetes clusters on-premises with the same ease as in the cloud.

To get the most out of EKS, especially for ML and enterprise workloads, explore how autoscaling tools like Cluster Autoscaler and Karpenter can help.

Here are some of its primary use cases:

Hybrid deployments: Seamlessly manage Kubernetes clusters both on AWS and on-premises, providing flexibility for cloud and local environments.

Machine learning workloads: Run complex ML models with Kubernetes, leveraging EKS for orchestrating large-scale, resource-intensive tasks.

Kubernetes Familiarity: Familiarity with Kubernetes plays a significant role in its adoption, as companies with existing Kubernetes expertise find it seamless to manage their containerized workloads, often using EKS to handle complex, multi-cloud environments or microservices architectures with ease.

Enterprise applications: Ensure high availability and disaster recovery for critical business applications across multiple zones.

For more details, check out our blog on the Basics of AWS EKS.

AWS Fargate

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Image Source: AWS Fargate

AWS Fargate is a serverless compute engine for containers that works with both Amazon ECS and EKS. Fargate removes the need to manage servers or clusters, allowing you to focus on designing and building your applications instead of managing the underlying infrastructure. It scales automatically and adjusts capacity to maintain the performance and availability of applications.

Here are some of its primary use cases:

Serverless applications: Run containers without the overhead of server management, ideal for developers seeking efficiency and simplicity.

Event-driven computing: Handle variable workloads with automatic scaling in response to events, without the need to manage underlying resources.

Application modernization: Transition from monolithic architectures to containerized microservices without managing servers or clusters.

Amazon Elastic Container Registry (ECR)

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Image Source: Amazon ECR

Amazon ECR is a fully managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images. It is highly scalable, allowing you to reliably deploy containers for your applications. ECR integrates with Amazon ECS, EKS and AWS CI/CD services, like AWS CodePipeline and CodeDeploy, providing a secure location to push, pull, and manage your container images. It includes security scanning capabilities that identify software vulnerabilities in your container images.

Here are some of its primary use cases:

Secure image storage: Store, manage, and deploy container images in a secure environment with integrated vulnerability scanning.

Continuous deployment pipelines: Integrate with CI/CD workflows for automating the build, test, and deployment of containerized applications.

Collaborative development: Facilitate collaboration among development teams by providing a central repository for container images, which supports version control and quick rollbacks.

AWS Container Orchestration Options

Container orchestration simplifies how we schedule, deploy, and manage our containerized applications. It's especially critical when you need dynamic scaling and consistent performance across different computing environments. It enables automated configuration, management, and coordination of computer systems and software, reducing the need for manual setup and supervision. This automation is a huge plus when deploying updates and maintaining uniform application performance across distributed platforms.

Here are the key AWS container orchestration tools you can leverage:

Amazon ECS: Known for its simplicity, Amazon ECS allows a straightforward approach to container orchestration. It automates the deployment, scaling, and management of containerized applications directly within AWS, using native AWS features for enhanced security and performance monitoring.

Amazon EKS: EKS brings Kubernetes integration to AWS and simplifies the management of Kubernetes applications, making it easier to deploy and operate at scale.

Conclusion

Containers in AWS offer powerful solutions that streamline the deployment and management of applications in the cloud, enhancing both scalability and security. As you continue to develop and optimize your cloud strategy, follow Stormit’s blog for more valuable content on cloud technologies and best practices.

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ABOUT THE AUTHORAdam Novotny, AWS Solutions Architect

An AWS Solutions Architect with over 5 years of experience in designing, assessing, and optimizing AWS cloud architectures. At Stormit, he supports customers across the full cloud lifecycle — from pre-sales consulting and solution design to AWS funding programs such as AWS Activate, Proof of Concept (PoC), and the Migration Acceleration Program (MAP).