

AWS Fargate and Amazon EC2 Auto Scaling compete in the cloud computing service category, specifically focusing on deployment and scaling capabilities. AWS Fargate has the upper hand in cost efficiency and ease of deployment due to its serverless setup, while Amazon EC2 Auto Scaling excels in flexibility and resource management features.
Features: AWS Fargate offers a self-managed setup, simplifying deployment and scaling without manual configuration. Users pay only for used resources, allowing efficient application creation, scaling, and cost management. Automatic scaling and integration with AWS services make it ideal for variable workloads. Amazon EC2 Auto Scaling provides user data initialization at startup, robust integration, and strong network and VPC configurations. It offers granular resource control, which is beneficial for tailored solutions with load balancers and refined scaling policies.
Room for Improvement: AWS Fargate needs to reduce setup complexity and improve monitoring for cost management. Container orchestration and task scaling remain challenging and could benefit from enhanced error handling and a simplified interface. Amazon EC2 Auto Scaling could improve configuration processes and documentation clarity. More flexible pricing models and instance family options would provide tailored cost-effective solutions. Both services could benefit from advancements in predictive scaling and integration options.
Ease of Deployment and Customer Service: AWS Fargate is notable for its simple deployment and serverless setup, making it well-suited for public cloud environments. It has high customer service ratings, with strategic alliances providing strong support. Amazon EC2 Auto Scaling is effective in private and hybrid cloud environments, offering versatile deployment options. While customer service is generally effective, there is potential for improvement in client communication. Fargate's serverless nature simplifies deployment inherently.
Pricing and ROI: AWS Fargate operates on a pay-as-you-go model, which, while flexible, can be costly for smaller enterprises. It offers good ROI by saving time and reducing infrastructure maintenance. Amazon EC2 Auto Scaling also uses a pay-as-you-go model but gains a competitive pricing edge due to regional service variations. Organizations report ROI through efficiency and scalable capabilities, with EC2 Auto Scaling offering more flexibility in cost management and accounting for regional pricing differences.
The pay-as-you-go pricing model of AWS Fargate was one of the major drivers for us to move there because we reduced costs while increasing the quality of the processing services by about 30%.
I would rate the technical support of AWS a nine, as their team resolves issues effectively and meets our expectations.
They have very good support.
Even though we didn't contract support, every two weeks I had a 30-minute meeting with a cloud architect from AWS to help our team use different products of AWS, especially with SageMaker for a forecasting algorithm we were developing.
For pro support, AWS charges additional fees.
The scaling feature appears to be embedded in the Amazon EC2 Auto Scaling price.
Amazon EC2 Auto Scaling should automatically scale out systems during high demand and scale in new instances when demand decreases.
The stability of Amazon EC2 Auto Scaling rates a 10.
Amazon should provide more detailed training materials for people who are just starting to work with Amazon EC2 Auto Scaling.
In enterprise environments such as healthcare or banking with numerous instances running different applications, customizable policies allow appropriate scaling.
The ability to ask questions about documentation through a chat interface would be valuable.
For a company that does not require complexity or managing Kubernetes clusters, AWS Fargate is a great way to go.
AWS Fargate is pretty straightforward for simple tasks and it should remain this way; an additional feature would make it complex and possibly not so stable.
They need to improve some UI-based interaction.
It operates on a pay-as-you-go model, meaning if a machine is used for only an hour, the pricing will be calculated for that hour only, not the entire month.
In some projects, incorrect decisions were made by not consulting them first, resulting in higher setup and maintenance costs.
This pre-configuration makes on-demand scaling refined, and the configuration includes automatic traffic distribution because when the first system is overloaded, new incoming traffic is redirected to the newly created systems.
The service offers 99.9999% availability. We have high availability, and I haven't experienced any downtime during my usage periods.
The best feature I appreciate about Amazon EC2 Auto Scaling is its health check functionality; when a server becomes unreachable or enters an unhealthy state, it automatically triggers an alert, and the load balancer responds by spinning up a new server, ensuring that traffic is distributed effectively.
It's very fast in terms of scaling my containers; it's much faster than other solutions.
One of the best features of AWS Fargate is that it was useful for us because we didn't require to run container workloads and we didn't need to deal with the management of a Kubernetes cluster directly, and the ability to run those workloads just in a scheduled manner is also a great feature.
What I find best about AWS Fargate is that compared to deploying containers on EC2, where we need to check everything manually such as uptime, error logs, and other issues, AWS Fargate manages all these aspects automatically.
| Product | Market Share (%) |
|---|---|
| AWS Fargate | 9.8% |
| Amazon EC2 Auto Scaling | 7.4% |
| Other | 82.8% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 9 |
| Large Enterprise | 27 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.
A new compute engine that enables you to use containers as a fundamental compute primitive without having to manage the underlying instances. With Fargate, you don’t need to provision, configure, or scale virtual machines in your clusters to run containers. Fargate can be used with Amazon ECS today, with plans to support Amazon Elastic Container Service for Kubernetes (Amazon EKS) in the future.
Fargate has flexible configuration options so you can closely match your application needs and granular, per-second billing.
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