Amazon Elastic Container Service features valuable aspects such as auto-scaling, cost-effectiveness, ease of use, and integration with AWS services. Users appreciate its high availability, minimal manageability, and strong security features. It excels in supporting Docker images, providing per-second billing, enabling simple deployment, and offering robust scalability. Its Fargate feature simplifies management by abstracting hardware concerns. Users also highlight its service discovery, reliability, and extensive documentation, enhancing the experience for managing container applications.
- "Overall, I would rate the solution highly over time as there is no reason not to, giving it a rating of 10 out of 10."
- "The support from AWS is incredible."
- "Amazon Elastic Container Service makes horizontal scaling easy and is especially effective when working under the ECS service."
Amazon Elastic Container Service needs enhancements in reliability, support, and configuration complexity. Users find the interface disorganized and initial setup challenging. Cost concerns arise from pricing structure and unpredictable billing. Integration and customization options require improvement, and monitoring features should be more robust. Users desire improved automation for scaling and a more intuitive user interface. Additionally, better documentation and streamlined processes are necessary to address usability and learning curves.
- "The services are costly, which is one potential drawback. Additionally, 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. These are the areas where improvement is required."
- "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."
- "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."