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AWS Fargate vs Amazon EC2 Auto Scaling comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.0
Organizations saved resources and infrastructure costs with Amazon EC2 Auto Scaling, achieving over 50% ROI in high-load applications.
Sentiment score
7.0
AWS Fargate improves agility, scalability, and cost-effectiveness, enhancing customer operations and returns through efficient resource management and integration.
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%.
 

Customer Service

Sentiment score
7.3
Amazon EC2 Auto Scaling is praised for its responsive support, though third-party integration challenges suggest vendor collaboration improvements.
Sentiment score
6.8
AWS Fargate offers praised support, especially with premium service, providing proactive assistance and excellent customer care for all clients.
I would rate the technical support of AWS a nine, as their team resolves issues effectively and meets our expectations.
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.
 

Scalability Issues

Sentiment score
7.5
Amazon EC2 Auto Scaling offers flexible, scalable solutions, efficiently managing resources to meet varied demands and simplifying operations.
Sentiment score
8.4
AWS Fargate excels in scalability and performance, handling dynamic workloads efficiently with auto-scaling and task-based scaling features.
The scaling feature appears to be embedded in the Amazon EC2 Auto Scaling price.
 

Stability Issues

Sentiment score
8.1
Amazon EC2 Auto Scaling is stable and reliable, with efficient scaling and minor regional issues, but SLAs need examination.
Sentiment score
8.2
AWS Fargate is praised for its stability and reliability, suitable for moderate traffic applications, with strong performance and configuration.
The stability of Amazon EC2 Auto Scaling rates a 10.
Amazon EC2 Auto Scaling should automatically scale out systems during high demand and scale in new instances when demand decreases.
 

Room For Improvement

Amazon EC2 Auto Scaling struggles with scalability, support, billing complexity, limited automation, connectivity issues, and inadequate training materials.
AWS Fargate struggles with cost, complexity, and monitoring, needing better auto-scaling, documentation, and user interface enhancements.
Integration with LLM would be beneficial as many services are implementing this functionality.
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.
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.
 

Setup Cost

EC2 Auto Scaling offers pay-as-you-go pricing, where costs vary by usage and region, with competitors varying pricing.
AWS Fargate offers competitive pricing with pay-as-you-go flexibility and discounts, ideal for enterprises despite higher costs.
In some projects, incorrect decisions were made by not consulting them first, resulting in higher setup and maintenance costs.
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.
 

Valuable Features

Amazon EC2 Auto Scaling offers seamless scalability, automatic provisioning, integration, security, cost-efficiency, and flexible management for diverse business needs.
AWS Fargate provides serverless containerization with easy deployment, cost efficiency, and integration, ideal for scaling without DevOps skills.
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.
The service offers 99.9999% availability.
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.
It's very fast in terms of scaling my containers; it's much faster than other solutions.
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.
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.
 

Categories and Ranking

Amazon EC2 Auto Scaling
Ranking in Compute Service
5th
Average Rating
9.0
Reviews Sentiment
7.6
Number of Reviews
50
Ranking in other categories
No ranking in other categories
AWS Fargate
Ranking in Compute Service
2nd
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
20
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 9.2%, down from 13.0% compared to the previous year. The mindshare of AWS Fargate is 11.9%, down from 17.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service Market Share Distribution
ProductMarket Share (%)
AWS Fargate11.9%
Amazon EC2 Auto Scaling9.2%
Other78.9%
Compute Service
 

Featured Reviews

Karthikeyan Ganesan - PeerSpot reviewer
Offers automatic scaling features but can improve user interface and setup guidance
Customizable policies help us determine how scaling should occur. In enterprise environments such as healthcare or banking with numerous instances running different applications, customizable policies allow appropriate scaling. For critical servers, we can set up a higher number of new instances to scale out to prevent downtime. For less critical servers that perform simple tasks such as file copying, we can use customizable policies to scale out minimal instances to avoid unnecessary expenses or cloud costs. Regarding integration, there are some disadvantages in AWS where certain availability zones or regions experience glitches. This can cause production halts because of problems on Amazon's side. In particular regions, when integrating Amazon EC2 Auto Scaling or other services, there might be delays in creating new Amazon EC2 instances, sometimes becoming inefficient.
Fedir Plotnikov - PeerSpot reviewer
Enables quick scaling and reduces infrastructure worries
The best thing about AWS Fargate is that I don't need to worry about the proper provisioning of infrastructure for my task, and it's very fast in terms of scaling my containers; it's much faster than other solutions. From using AWS Fargate, I see benefits such as scaling speed and no headache about the infrastructure provisioning.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Retailer
7%
Performing Arts
7%
Financial Services Firm
16%
Government
15%
Computer Software Company
10%
Comms Service Provider
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise9
Large Enterprise26
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise4
Large Enterprise7
 

Questions from the Community

What do you like most about Amazon EC2 Auto Scaling?
The solution removes the need for hardware. We can easily create servers or machines. Just by clicking or specifying our requirements, like memory size or disk space, it's set up for us. The tool e...
What is your experience regarding pricing and costs for Amazon EC2 Auto Scaling?
Regarding licensing and setup costs, we always study in detail using lower environments such as User Acceptance Testing or sandbox environments. Before creation, we consult AWS official documentati...
What needs improvement with Amazon EC2 Auto Scaling?
Customizable policies help us determine how scaling should occur. In enterprise environments such as healthcare or banking with numerous instances running different applications, customizable polic...
What do you like most about AWS Fargate?
The most valuable feature of Fargate is that it's self-managed. You don't have to configure your own clusters or deploy any Kubernetes clusters. This simplifies the initial deployment and scaling p...
What needs improvement with AWS Fargate?
There could be improvements for AWS Fargate regarding cost as it is expensive compared to running on EC2. AWS Fargate is pretty straightforward for simple tasks and it should remain this way; an ad...
What advice do you have for others considering AWS Fargate?
I would recommend AWS Fargate to other people. My advice for people about AWS Fargate is to be aware of the cost of using this solution. On a scale of one to ten, I rate AWS Fargate a nine.
 

Also Known As

AWS RAM
No data available
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Find out what your peers are saying about AWS Fargate vs. Amazon EC2 Auto Scaling and other solutions. Updated: September 2025.
868,706 professionals have used our research since 2012.