

Amazon ECS and EKS compete in the container orchestration category. ECS seems to have the upper hand in simplicity and cost-effectiveness, making it preferable for users seeking quick deployment and flexible resource management, whereas EKS offers robust Kubernetes orchestration, appealing to those heavily invested in microservices architecture.
Features: Amazon ECS is known for its simplicity, scalability, and cost-effectiveness, with a pay-as-you-go model that is attractive for businesses. It offers high availability and robust security. In contrast, Amazon EKS leverages Kubernetes for container orchestration, providing seamless integration and scalability, which is beneficial for microservices architecture within AWS's ecosystem.
Room for Improvement: Users suggest ECS could improve its visualization tools for monitoring and enhance its auto-scaling and backup features. Some find ECS's pricing complicated and recommend clearer billing and security integration. For EKS, improvements in stability, usability of the user interface, and documentation are desired. There's also feedback for better managed services and overcoming challenges in upgrade processes and initial setup complexity.
Ease of Deployment and Customer Service: Both ECS and EKS offer effective deployment across cloud environments, supported by AWS's infrastructure. Users praise responsive customer support, though technical support costs are sometimes criticized. ECS is noted for its straightforward deployment, appealing to beginners, while EKS requires a deeper understanding of Kubernetes but would benefit from improved documentation for better user accessibility.
Pricing and ROI: Amazon ECS is considered cost-effective with its flexible pay-as-you-go model, making it ideal for startups. It offers great ROI for larger organizations due to cloud scalability. EKS is perceived as more expensive, with costs linked to AWS services usage, yet it provides significant ROI through its orchestration features for businesses focused on containerized applications, suggesting potential cost efficiencies could enhance EKS adoption.
Initially, not having them resulted in an unoptimized solution. However, with these tools in place, we witnessed a reduction of costs by approximately a third—if it was $100 beforehand, we brought costs down to $25.
We have cost explorer available, and a bill forecast based on usage allows us to determine whether resources are underutilized or overutilized.
It's a fast deployment, with very good documentation, and it's really helpful.
This saving is achieved since, with EC2, the entire virtual machine must be running regardless of workload, whereas Fargate eliminates this cost.
We didn't need to manage etcd and those control management tools; it's totally handled from the AWS side, making it very beneficial.
I believe there should be a recovery solution available for at least a few hours so that we might bring it back.
They will set up a call, guide us, or provide solutions regarding integration with AWS or Amazon EKS.
AWS partnership provides access to their architects for guidance when needed.
We do not rely heavily on technical support from AWS as we have our own teams managing the infrastructure.
The ability to scale based on requirements by deploying additional containers is a strong point for Kubernetes.
This allows us to scale our applications or APIs as needed, offering reliability through the automation of scaling processes.
If any node is not ready, the cluster autoscaler ensures that it is removed from the AWS auto-scaling group and replaces it with a new node in the cluster.
Amazon Elastic Container Service has a scalability rating of ten out of ten.
Scalability becomes an inherent capability in the cloud context, and this service does well in that regard.
Amazon Elastic Container Service has significant limitations regarding scalability.
There are multiple availability zones in the regions, meaning no single point of failure.
The control plane is quite stable in Amazon EKS, and I find it to be 100% available.
We haven't faced any challenges, and it consistently delivers on its committed SLA.
The stability of Amazon Elastic Container Service is excellent.
Amazon Elastic Container Service is mostly very stable.
Simplifying these will enable more people, not just those with strong foundational knowledge, to work effectively with these services.
Amazon EKS can be improved by having the maintenance of Kubernetes versions managed better, as everything is handled by the Kubernetes team and possibly a separate team at AWS.
Adding logging would be a valuable improvement.
Currently, when scaling with Amazon Elastic Container Service, I have to choose between monitoring CPU or memory usage to scale up or scale out; there is no option to monitor both simultaneously.
When it comes to new-age services around AI, particularly in the areas of LLMs and genomics, these services are not fully available in our region's availability domain.
A lower price for Amazon Elastic Container Service would be better, but it is comparable to other offerings in the market, so it is on par in that sense.
The EKS service itself is free, but you will incur costs for the VMs used as nodes in that cluster.
If you want to monitor costs effectively, applying separate tools and acting accordingly in advance is essential.
I appreciate the overall pricing model of AWS, where you pay based on usage, which allows for a clear understanding of costs associated with services.
Amazon Elastic Container Service is quite cheap compared to Google, particularly for hosting databases.
Our customers often do a trade-off between requiring services at particular SLA levels and being willing to pay a premium price to us as partners.
The most beneficial aspect of Amazon EKS is that it helps manage the Kubernetes master node, so I don't need to maintain the master node, including tasks like upgrading.
The main benefits that I received from using Amazon EKS are that it is a managed cluster and offers simplicity.
By default, if you just install Amazon EKS, you can deploy your application, but to have it enterprise-ready, you have to configure a number of other things that will boost productivity.
It inherently offers scalability by default, without our IT teams needing to take the extra load to make the services available for our end users.
Main benefits that Amazon Elastic Container Service provides include saving maintenance costs in terms of saving time, and since it auto scales, we save on infrastructure costs by running at lower instances when it is not heavily used.
Availability is the most valuable feature because if containers are hosted on Amazon Elastic Container Service, they are truly available and do not go down.
| Product | Mindshare (%) |
|---|---|
| Amazon EKS | 12.1% |
| Amazon Elastic Container Service | 1.7% |
| Other | 86.2% |

| Company Size | Count |
|---|---|
| Small Business | 35 |
| Midsize Enterprise | 19 |
| Large Enterprise | 48 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 19 |
Amazon EKS is a managed Kubernetes service that simplifies deploying containerized applications in the cloud. It automates scaling, enhances integration with AWS, and improves security and reliability for users.
Amazon EKS stands out for its automation, scalability, and seamless integration capabilities with AWS services. It offers auto-scaling and easy deployment while managing Kubernetes services to reduce maintenance efforts. Integration with IAM boosts security, and self-healing nodes enhance reliability. Although user-friendly and cost-effective, EKS requires improvements in user management, AI integration, onboarding, connectivity, and stability. Enhancements are needed in security features, logging, and UI, alongside more robust documentation and cost insights.
What are the key features of Amazon EKS?In industries utilizing cloud-native architectures, Amazon EKS enables the efficient orchestration of containerized applications, supporting microservices and simplifying infrastructure management. Organizations benefit from automated updates, production workload orchestration, and application deployment, ensuring reliable cloud operations.
Amazon Elastic Container Service provides scalable, efficient container orchestration with features like service discovery and seamless AWS integration, making it user-friendly and cost-effective for managing containerized applications.
This service is known for its scalability, service discovery, and ease of setup, while Fargate's lack of management needs enhances usability. Offering high availability and excellent uptime, it integrates seamlessly with AWS services. Despite its strengths, users seek improvements in orchestration, user experience, logging, and third-party tool integration. The service excels in aiding organizations to efficiently run microservices architectures and support automated deployments with CI/CD pipelines.
What are the key features of Amazon Elastic Container Service?Amazon Elastic Container Service is effectively implemented across industries such as technology, finance, and healthcare, supporting web applications and microservices architectures. It facilitates managing Docker configurations and batch processes efficiently, streamlining infrastructure and providing a platform for cost-effective application deployment.
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