Amazon Web Services, a leader in cloud computing, offers two widely used container management solutions, Elastic Container Service (ECS) and Elastic Kubernetes Service (EKS), to deploy and oversee containers within the AWS cloud. As the number of containers and their connections multiply, controlling and coordinating them over several computers and settings can become difficult. In this situation, “container orchestration platforms” become crucial. So, be it scalability, reliability, or integration with other AWS services, both ECS and EKS provide excellent outcomes.
However, they differ prominently in their approach and features. ECS is a proprietary container orchestration service developed by AWS, while EKS leverages the open-source Kubernetes platform, which offers a more extensive ecosystem and community support.
In this blog post, we will compare two known container orchestration systems – AWS ECS vs EKS to help you choose the right solution for your business.
Table of Contents:
Container orchestration is the process of automating the deployment, management, scaling, networking, scheduling, and coordinating the lifecycle of containers in a microservices architecture. It simplifies the deployment and management of applications that consist of numerous containers, which can be complex to handle manually. Let’s look at some prominent functions and benefits of container orchestration.
Let’s explore the detailed difference between ECS and EKS container orchestration platforms to help you choose the right one for your organization.
ECS takes much of the complexity out of running containerized applications at scale, allowing you to focus on building and delivering great software instead of getting stuck in operational details.
Amazon ECS is a fully managed container orchestration service that runs and maintains containers in the Amazon ECS cluster. It works seamlessly with other AWS services to run containers in the cloud. AWS ECS eliminates the need to install, manage, and operate the underlying infrastructure, making it easier for organizations to focus on application development. With ECS, you can run tasks on serverless infrastructure managed by AWS Fargate or on a cluster of Amazon EC2, which the user manages. It has inherent AWS benefits and is trusted by prominent organizations worldwide, such as Samsung, VE, Vanguard, and many more.
As we understood in the above definition, ECS stands out as a robust infrastructure and platform service. But what exactly makes it so beneficial? Explore the key AWS ECS benefits for your containerized applications.
With the help of AWS, you don’t have to take care of provision, management of your own cluster infrastructure, or scalability. It allows you to run and stop Docker containers across a cluster of Amazon EC2 instances with just a few clicks or API calls. ECS automatically handles,
This helps reduce operational overhead, so you have fewer decisions while admiring the full capabilities.
This integration helps simplify your organization’s overall workflows and application management. ECS integrates smoothly with a wide range of other AWS services and utilizes the broader capabilities of the AWS ecosystem.
It automatically scales your container according to the demand to ensure that your applications can handle fluctuating traffic loads efficiently. With the help of automation capabilities, it distributes containers across multiple availability zones, ensuring fault tolerance and minimizing downtime.
EKS empowers organizations to leverage Kubernetes’ potent container orchestration capabilities while offloading the underlying infrastructure complexities to AWS.
AWS EKS is a cloud-based container management service that runs Kubernetes in the AWS cloud and on-premises data centers. At its core, Amazon EKS simplifies the process of orchestrating containerized applications by automatically managing and scaling the underlying infrastructure resources on the AWS platform. This service empowers enterprises to leverage Kubernetes’ powerful capabilities without the overhead of installing, operating, or maintaining the container orchestration software themselves.
EKS allows you to take advantage of various capabilities in AWS infrastructure in terms of performance, scalability, reliability, and availability. Some key AWS EKS benefits include.
AWS EKS allows you to run your Kubernetes applications on Amazon EC2 and AWS Fargate by freeing you up to focus on developing and running containerized applications.
AWS’s optimized resource management, auto-scaling, and Spot Instances help you cut down on infrastructure expenses and operational costs. Thus, help your organization in saving resources and overall costs.
AWS EKS seamlessly integrates with AWS security services, ensuring your Kubernetes clusters are automatically updated and patched and meet industry security standards.
Our AWS experts can help you run your containers in a secure, scalable, and reliable environment by leveraging AWS’s container orchestration services.
Parameters | AWS ECS | AWS EKS |
Architecture | Proprietary container orchestration engine | Managed Kubernetes service |
Deployment unit | Tasks | Pods (containing one or more containers) |
Ease of Use | Simpler setup and deployment | More complex, requiring Kubernetes expertise |
Scalability | Auto-scaling at task or service level | Auto-scaling at the pod or deployment level |
Ecosystem Compatibility | Tightly integrated with AWS; less portable | High portability; extensive tool support |
Pricing | Pay only for resources; generally lower | $0.10/hour per cluster + resource costs |
Networking | Basic and limited customization options | Fine-grained control and flexibility |
Security | Deep integration with IAM for access control | Requires add-ons or third-party tools for IAM functionality |
Operational Overhead | Lower and simpler management | Higher due to Kubernetes’ complexity |
Community Support | Benefits from AWS ecosystem and support | Benefits from the large and active global Kubernetes community and AWS support. |
After the tabular comparison, let’s understand the distinctions between the container orchestration systems on various parameters.
ECS and EKS in AWS have different architectural approaches to container orchestration.
ECS Architecture:
EKS Architecture:
ECS: The deployment unit in ECS is a ‘task’, which defines the containers that run together on the same EC2 instances.
EKS: It adheres to the Kubernetes model, deploying applications using Pods as the smallest deployable units that can host one or more containers.
Ease of Use
ECS: It is designed for simplicity and ease of use, requiring minimal setup and management. Users can deploy applications directly from the AWS management console without extensive expertise.
EKS: While easier than managing Kubernetes directly, it requires more configuration and understanding of Kubernetes concepts, such as pods and services, making it less beginner-friendly.
ECS: It supports automatic scaling of tasks based on resource usage or custom metrics. This allows for efficient resource utilization and cost optimization.
EKS: It leverages Kubernetes’ native scaling capabilities to offer auto- scale deployments through features like Horizontal Pod Autoscaling.
Ecosystem Compatibility
ECS: This orchestration service provides deeper integration with AWS services and tools, making it versatile for AWS-centric workflow and use cases.
EKS: While, EKS is designed specifically for Kubernetes, providing a more native Kubernetes experience and compatibility with the vast Kubernetes ecosystem.
Pricing
ECS: This does not charge for the service itself; users only pay for the underlying compute resources (e.g., EC2 instances or Fargate). This makes it cost-effective for smaller applications or teams.
EKS: EKS charges a flat fee of $0.10 per hour[1] per cluster in addition to the resource costs, which can become expensive for organizations running multiple clusters or large-scale applications.
ECS: Uses AWS Virtual Private Cloud for networking and allows you to configure security groups and network ACLs to control inbound and outbound traffic.
EKS: Uses AWS Virtual Private Cloud for networking and leverages the Kubernetes networking model that includes features like services, ingress controllers, and network policies.
ECS: This container orchestration service implements the security features of AWS such as,
It also supports secrets management and integration with AWS Secrets Manager.
EKS: It includes the robust security features of Kubernetes, such as,
It also integrates with AWS IAM and other AWS security services.
Operational Overhead
ECS: It is designed for simplicity and ease of use, resulting in lower operational overhead. It requires less expertise to manage, as AWS handles much of the infrastructure management, making it ideal for teams with limited container orchestration experience.
EKS: In contrast, EKS has a higher operational overhead due to the complexity of Kubernetes. It necessitates a deeper understanding of Kubernetes concepts, which can present a steep learning curve for teams unfamiliar with the platform.
Community Support
ECS: Has limited community support, mostly through AWS channels, compared to a large open-source community around Kubernetes.
EKS: It includes robust community support due to its reliance on Kubernetes, providing access to a wealth of tools, integrations, and shared knowledge within the Kubernetes ecosystem.
These container orchestration services in AWS provide diverse usage application and use-cases, catering to the needs of various organizations and their applications. Here are some prominent AWS ECS vs EKS use cases to look at.
ECS excels in deploying and handling microservice-based applications. Microservices are compact, autonomous services that collaborate to build a more extensive application. ECS can scale these services separately, making it a suitable platform for microservice architectures.
ECS can be used to run batch processing jobs, such as,
It can easily scale the resources needed to run these jobs efficiently and cost-effectively.
Any organization that needs to process large datasets in real-time or near real-time. ECS can deploy and manage data processing pipelines, enabling efficient and scalable data ingestion, transformation, and analysis. It can integrate various data sources and tools to create end-to-end data processing solutions.
By utilizing AWS Fargate, ECS enables the deployment of serverless applications without the need to manage server infrastructure. This is particularly beneficial for event-driven tasks or short-lived applications.
EKS helps upgrade old applications by turning them into containers and running them on its platform. This process enhances scalability, flexibility, and ease of management, revitalizing the applications.
EKS allows you to create web applications with high scalability and resilience. It adjusts resources automatically based on traffic levels, maintaining application performance and responsiveness even during peak times.
For organizations pursuing a multi-cloud strategy, EKS provides consistent container orchestration across different environments. It enables workload portability and helps avoid vendor lock-in while maintaining compliance with data sovereignty regulations.
EKS excels in deploying applications that require high availability across multiple Availability Zones. It can leverage AWS Elastic Load Balancing or Kubernetes-native solutions like Services and Ingress controller for efficient traffic distribution.
There’s no straightforward answer or a clear winner when it comes to choosing between Amazon EKS vs ECS because the choice does not need to be a binary decision. Both AWS ECS and EKS can work together with shared operations, integrated security, and consistent management for network options. Here, you are required to make sure about the specific use cases, familiarity with Kubernetes, and scalability requirements to understand, ECS vs EKS which is better.
As an AWS select tier services partner, we are highly experienced in building and deploying cloud-native and containerized applications. With a proven track record of providing result-driven AWS development services, our team is well-equipped to handle complex cloud infrastructure projects.
Entrust Rishabh Software’s qualified cloud consulting expertise to guide you through this decision-making process. With extensive practical exposure to both ECS and EKS in AWS, we are well-equipped to advise on and deploy such architectural setups through our managed cloud services.
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A: Container management encompasses the tasks necessary for operating containers in a live environment. It includes:
Performing maintenance activities to keep containers running smoothly. Containers package applications and their necessary components into compact, portable packages, enabling them to execute reliably on various computing systems.
Container management typically involves the following steps:
A: Here are your options for running containers on AWS:
The best option depends on your specific needs for cost, performance, control, and use case.
A: Yes, ECS and EKS can be used together, allowing organizations to leverage the strengths of both services. This can be beneficial for applications that require different orchestration strategies or for teams with varying expertise in container management.
A: The future of these services looks promising, with the container orchestration market expected to grow to $1.38 billion by 2026[2].
ECS and EKS are expected to evolve, with AWS enhancing their features to support more complex architectures and integrations. Innovations may include –
A: For startups, ECS is often favored due to its simplicity and tighter integration with the AWS ecosystem, making it easier to manage and deploy applications without extensive Kubernetes knowledge. However, if a startup anticipates needing greater flexibility and scalability in the long term, EKS may be a better choice despite its complexity.