Amazon Elastic Container Service and Red Hat OpenShift Container Platform are leading solutions competing in the container orchestration market. ECS seems to have the upper hand due to its seamless AWS integration and cost-effective scalability, while OpenShift is favored for its advanced enterprise features and Kubernetes cluster management.
Features: Amazon ECS offers cost-effective scalability with pay-per-use pricing and 99% uptime. It is fully managed, allowing ease of integration with AWS services and flexibility through its Fargate feature, supporting Docker images for simple deployment and scaling. Red Hat OpenShift, on the other hand, is highly developer-friendly, supports flexible deployments, and excels in Kubernetes cluster management. It provides advanced features like RBAC, CI/CD integration, and enhanced enterprise-level networking and security.
Room for Improvement: Amazon ECS can improve on reliability and user navigation. It has a complex setup for beginners and a potentially high pricing model. Simpler billing and better visualization tools are needed. OpenShift requires improvements in networking restrictions and integration with open ID connect for RBAC. Users face a steep learning curve and documentation issues, making the installation process complex and costly for smaller enterprises.
Ease of Deployment and Customer Service: Amazon ECS is mainly deployed on the public cloud and appreciated for its straightforward setup, but customer support is inconsistent. Its documentation and quick problem resolution could be improved. OpenShift supports hybrid, public, and private cloud deployments, with a strong focus on on-premise and hybrid environments. It offers detailed deployment support but can be complex due to its advanced features.
Pricing and ROI: Amazon ECS uses a pay-as-you-go model, providing elasticity and cost efficiency, but can become costly with increased usage, though it shows positive ROI for large-scale deployments. OpenShift, offering advanced features, is expensive and better suited for larger enterprises, potentially lacking ROI for smaller companies. Its flexible licensing could benefit from clearer pricing models for increased market competitiveness.
This saving is achieved since, with EC2, the entire virtual machine must be running regardless of workload, whereas Fargate eliminates this cost.
We do not rely heavily on technical support from AWS as we have our own teams managing the infrastructure.
They should prioritize skilled engineers for urgent issues.
Amazon Elastic Container Service users have limited access to AWS services and tiers compared to EC2 users, further restricting scalability options.
Scalability becomes an inherent capability in the cloud context, and this service does well in that regard.
Amazon Elastic Container Service has a scalability rating of ten out of ten.
I rate the scalability of Red Hat OpenShift Container Platform as a nine, as I haven't encountered any issues with scaling a cluster or applications.
Scalability is rated nine out of ten.
The stability of Amazon Elastic Container Service is excellent.
Amazon Elastic Container Service is mostly very stable.
There haven't been any issues so far; it remains stable with no downtime or crashes, and even the upgrades are handled seamlessly without issues.
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.
Notably, the platform plus is perceived as quite expensive and some features from an infrastructure perspective are lacking.
I would like to see advanced cluster management added in future releases, such as a single pane of glass to manage multiple clusters.
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 current licensing cost for this solution is around $23,000 per year, per month.
Notably, the platform plus is quite expensive according to the market.
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 allows the opportunity for low cost, as it is less expensive than EC2, to get used to all these concepts, paradigms, and techniques.
Amazon Elastic Container Service makes horizontal scaling easy and is especially effective when working under the ECS service.
The cluster scaling features, such as the auto-scaling of cluster nodes and application replicas using horizontal and vertical pod auto-scaling, significantly impact our operations.
In terms of features in Red Hat OpenShift Container Platform, I find the orchestration itself quite useful for my customers because it integrates with lots of tools.
It is important for critical systems.
Product | Market Share (%) |
---|---|
Red Hat OpenShift Container Platform | 19.7% |
Amazon Elastic Container Service | 1.4% |
Other | 78.9% |
Company Size | Count |
---|---|
Small Business | 27 |
Midsize Enterprise | 7 |
Large Enterprise | 18 |
Company Size | Count |
---|---|
Small Business | 14 |
Midsize Enterprise | 4 |
Large Enterprise | 39 |
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.
Red Hat® OpenShift® offers a consistent hybrid cloud foundation for building and scaling containerized applications. Benefit from streamlined platform installation and upgrades from one of the enterprise Kubernetes leaders.
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.