

Amazon Elastic Container Service and Kubernetes are leading competitors in the container orchestration market. AWS ECS appears to have the upper hand with its ease of use and cost-effectiveness, while Kubernetes is favored for its flexibility and robust orchestration capabilities.
Features: Amazon ECS is known for its scalability, auto-scaling options, and pay-as-you-go billing model. It seamlessly integrates with other AWS services, offering stability and efficient resource management. Kubernetes excels in container orchestration and supports multi-cloud environments. It allows developers to manage workloads with high availability and flexibility, crucial for scaling across diverse platforms.
Room for Improvement: Amazon ECS could improve in instance management optimization, monitoring simplification, and billing clarity. Initial setup can be complex for some users. Kubernetes, known for its steep learning curve, especially challenges those without Linux expertise. It requires enhancements in UI development, security integration, and better-built monitoring tools, along with improved logging functionalities.
Ease of Deployment and Customer Service: Amazon ECS is appreciated for straightforward deployment and strong scalability, particularly in public cloud environments. Customer service varies; some users report insufficient technical guidance. Kubernetes supports diverse environments but is noted for its complexity, requiring specialized knowledge. Its community-driven support is broad, but official support might be costly and less direct.
Pricing and ROI: Amazon ECS's pay-as-you-go model is cost-effective for larger operations, offering scalability without hefty upfront costs, though configuration issues can lead to unexpected expenses. Kubernetes, being open-source, eliminates licensing costs but may incur management expenses. It offers cost-efficiency in large deployments, but smaller firms might face challenges due to operational overheads. Both platforms deliver ROI, with ECS users noting clearer financial benefits from scalable costs.
This saving is achieved since, with EC2, the entire virtual machine must be running regardless of workload, whereas Fargate eliminates this cost.
We receive revenue and returns from its deployment due to improved services and applications.
I have seen a return on investment, and the metrics in return for the investment are very fast.
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 application is stable, and I seldom require support.
Amazon Elastic Container Service has significant limitations regarding scalability.
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.
Kubernetes is highly scalable, earning a rating of eight out of ten.
By using horizontal pod autoscalers, Kubernetes automatically adjusts the number of pods based on CPU, memory usage, or other metrics.
Kubernetes is a scalable platform, which is why we are using it.
The stability of Amazon Elastic Container Service is excellent.
Amazon Elastic Container Service is mostly very stable.
Our organization performs robust testing before sending changes to production, ensuring the stability of Kubernetes in live environments.
If any containers take more space, sometimes the cluster goes down.
Kubernetes offers high stability, allowing for easy scaling of ports and containers.
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.
Improved documentation would help in gaining scalable knowledge and making it more understandable.
The upgrade process required addressing these failures and adjusting for changes made by external services such as the AWS CodeBuild.
Although we face issues when migrating to new versions of Kubernetes, such as misunderstandings on using new features or integration with proxy services, these issues can be addressed with proper preparation.
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.
Since we use Kubernetes on-premises, the costs are related to our expertise and the personnel we hire.
the setup costs are high.
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.
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.
Amazon Elastic Container Service makes horizontal scaling easy and is especially effective when working under the ECS service.
Kubernetes also offers rollback control and auto-scaling capabilities, which are crucial for maintaining an application's availability even if nodes or pods go down.
Kubernetes has positively impacted my organization as 99% of microservices are running.
The most valuable feature of Kubernetes is its support for load balancing.
| Product | Market Share (%) |
|---|---|
| Kubernetes | 6.1% |
| Amazon Elastic Container Service | 1.4% |
| Other | 92.5% |

| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 18 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 10 |
| Large Enterprise | 47 |
Amazon Elastic Container Service (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. Amazon ECS eliminates the need for you to install and operate your own container orchestration software, manage and scale a cluster of virtual machines, or schedule containers on those virtual machines.
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.
It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community.
We monitor all Container Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.