AWS Compute Optimizer vs Amazon EC2 Auto Scaling comparison

Why PeerSpot?

Amazon EC2 Auto Scaling and AWS Compute Optimizer are both solutions in the Compute Service category. Amazon EC2 Auto Scaling is ranked #4 with an average rating of 9.2, while AWS Compute Optimizer is ranked #16. Amazon EC2 Auto Scaling holds a 5.1% mindshare in CS, compared to AWS Compute Optimizer’s 2.3% mindshare. Additionally, 100% of Amazon EC2 Auto Scaling users are willing to recommend the solution, compared to 100% of AWS Compute Optimizer users who would recommend it.

Amazon EC2 Auto Scaling

Read 51 Amazon EC2 Auto Scaling reviews

2,803 Views
2,803 Comparison Views

100% willing to recommend

AWS Compute Optimizer

Read 1 AWS Compute Optimizer review

547 Views
542 Comparison Views

100% willing to recommend

Amazon EC2 Auto Scaling

AWS Compute Optimizer

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS Compute Optimizer and Amazon EC2 Auto Scaling based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service.

To learn more, read our detailed Compute Service Report (Updated: October 2026).

Buyer's Guide

Compute Service

October 2026

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Helped 917,433 peers since 2012

Review summaries and opinions

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

Categories and Ranking

Amazon EC2 Auto Scaling

Ranking in Compute Service

4th

Average Rating

9.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS Compute Optimizer

Ranking in Compute Service

16th

Average Rating

8.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 5.1%, down from 9.1% compared to the previous year. The mindshare of AWS Compute Optimizer is 2.3%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Compute Service Mindshare Distribution
Product	Mindshare (%)
Amazon EC2 Auto Scaling	5.1%
AWS Compute Optimizer	2.3%
Other	92.6%

Compute Service

Featured Reviews

Saurab Gnagurde

IT Analyst | Aws Cloud Ops | Dev Ops | Fin Ops at Tata Consultancy

"Seamless Traffic Management and Server Health with Amazon EC2 Auto Scaling"

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. For predictive scaling capabilities in Amazon EC2 Auto Scaling, I deploy all servers to the limit for a week to monitor CPU utilization, and I calculate the load trends to manage the minimum and maximum through time-based auto scaling. We are using CloudWatch, and have integrated it with various application performance monitoring tools such as Instana, AppDynamics, and Grafana. We set thresholds in these tools to alert us if CPU utilization exceeds 70%, allowing our dedicated team to rapidly respond to any issues. The main benefit of implementing Amazon EC2 Auto Scaling is that service availability for end users reaches 99.99%, with effectively zero downtime. Even if multiple servers become unreachable, Amazon EC2 Auto Scaling automatically spins up new servers to replace them, all without human intervention. We utilize two types of scaling policies: time-based and CPU-based. When our CPU utilization reaches 70%, Amazon EC2 Auto Scaling automatically adds a new server to handle the generated load.

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Shady Mogawer

IT Manager at Arabian Cement Company

Easy to manage, flexible, and has good scaling options

A partner company called Cloud40 helped us with the deployment. It took a couple of weeks for the deployment to happen. The steps we took for the deployment process included research and information planning about what we wanted to do while moving from physical to the cloud. We have used all the hardware and other resources available to make sure of the connection.

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Quotes from Members

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

Pros

"The monitoring tool is helpful."

"With the ability to set up rules based on demand, network, or traffic, the service offers a necessary level of adaptability."

"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 eliminates the need for hardware. We can choose what we need and pay as we use it. It is flexible and can integrate with any product."

"The feature I found most valuable was the vertical and horizontal scaling."

"Auto-scaling is a good feature."

"Every AWS user should utilize the solution if they are not using Lambda."

"The solution is scalable."

"The product is flexible."

More Amazon EC2 Auto Scaling pros

"I find the solution's scaling capability to be an important benefit. You can scale it vertically or horizontally, i.e., you can upgrade the hardware or clone the machine. The solution is also easy to manage and flexible. Additionally, you get some layers of security without paying for it."

Cons

"The solution's configuration process could be better."

"There is a need for improvement in understanding the pricing structure, as it is complex and depends on several factors such as the location of data centers."

"The technical support needs to be improved."

"The big issue for us is the cost of using the solution."

"If your EC2 instance doesn't boot up, you're in the dark about what's happening. It would be amazing if you could get a view of the console to see the status. There's something called the AWS Console, which is a web portal. I would like to see a virtual screen of an instance that hasn't started properly, so I can see where it crashed."

"The price could always be a bit better."

"EC2 is doing what it is intended to do, and I have no specific improvements to suggest."

"The documentation for this solution could be improved. For example, sometimes it's difficult to find documentation for integration with applications."

More Amazon EC2 Auto Scaling cons

"I have two areas of improvement to comment on. Most of the product names in AWS are not indicative of what they are doing. Moreover, AWS is not organized and you do not have the full platform with you. It is hard to know some AWS services."

Pricing and Cost Advice

"Pricing could be a little bit more competitive."

"The product is expensive."

"The price of this product could be a little bit lower."

"Its price is affordable for enterprise customers."

"The licences for this solution are based on the number of instances. This determines the EC2 type that is used and this is then priced accordingly."

"The tool's pricing is good and not expensive."

"The pricing is not fixed and it is based on usage."

"AWS offered some credits, so we have been able to enjoy some of those benefits. The pricing was fair."

More Amazon EC2 Auto Scaling pricing and cost advice

"I find the solution's pricing reasonable. You need to pay extra for IP and other miscellaneous costs."

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Top Industries

By visitors reading reviews

Outsourcing Company

10%

Construction Company

10%

Comms Service Provider

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	9
Large Enterprise	28

No data available

Questions from the Community

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...

See all answers

What needs improvement with Amazon EC2 Auto Scaling?

I don't work with predictive scaling. I know this feature, but I have never worked with it. For me, availability is something different. If you want to set up your application to be highly availabl...

See all answers

What is your primary use case for Amazon EC2 Auto Scaling?

I have been working with this product for almost more than 10 years. I worked on a backup recovery project for a customer. I set up the backup recovery for them because they had multiple accounts. ...

See all answers

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Comparisons

AWS Lambda vs Amazon EC2 Auto Scaling

Compared 25% of the time

AWS Fargate vs Amazon EC2 Auto Scaling

Compared 20% of the time

Apache NiFi vs Amazon EC2 Auto Scaling

Compared 10% of the time

Zadara vs Amazon EC2 Auto Scaling

Compared 8% of the time

Amazon EC2 vs Amazon EC2 Auto Scaling

Compared 2% of the time

More Amazon EC2 Auto Scaling Competitors

AWS Fargate vs AWS Compute Optimizer

Compared 38% of the time

Amazon Elastic Inference vs AWS Compute Optimizer

Compared 31% of the time

Oxide Cloud Computer vs AWS Compute Optimizer

Compared 17% of the time

Amazon EC2 vs AWS Compute Optimizer

Compared 7% of the time

More AWS Compute Optimizer Competitors

Product Reports

Buyer's Guide

Amazon EC2 Auto Scaling

October 2026

Download Amazon EC2 Auto Scaling product report

Buyer's Guide

Compute Service

October 2026

Download AWS Compute Optimizer product report

Also Known As

AWS RAM

No data available

Overview

Amazon EC2 Auto Scaling offers scalability, elasticity, and cost-effectiveness, automatically adjusting resources based on demand. It integrates seamlessly with load balancers and manages server instances efficiently, ensuring reliable performance and high availability.

Amazon EC2 Auto Scaling provides flexible usage scenarios with efficient resource management, enhanced by its seamless integration with CloudWatch for advanced monitoring. The platform enables businesses to manage traffic fluctuations and workloads by automatically adjusting EC2 instances, enhancing infrastructure elasticity. Users note its ease of configuration and management as key strengths while acknowledging room for improvements like better automation, pricing clarity, and user-friendly interface updates. This service is vital for optimizing server performance during peak demands, crucial for maintaining application availability without manual effort.

What are the key features?

Scalability: Dynamically adjusts EC2 instances to handle workload changes.
Elasticity: Ensures resources scale efficiently based on demand.
Cost-Effectiveness: Optimizes costs through automatic resource management.
Seamless Integration: Works effortlessly with load balancers and CloudWatch.
Advanced Monitoring: Provides insights through integrated alert systems.

What benefits should users look for in reviews?

Enhanced Performance: Ensures high availability and optimal server performance.
Resource Optimization: Efficiently scales resources to meet application needs.
Reliability: Offers consistent and dependable infrastructure management.
User Experience: Simplifies management with an easy-to-use interface.

In industries like technology, manufacturing, and finance, Amazon EC2 Auto Scaling is crucial for managing high-performance workloads and applications demanding elasticity. It supports SAP workloads and infographic designing by dynamically adjusting resources based on CPU and memory requirements, promoting optimal efficiency and availability in cloud and hybrid environments.

Amazon Web Services (AWS)

AWS Compute Optimizer helps users enhance infrastructure efficiency by providing insights to choose optimal AWS resources for workloads. It leverages machine learning to ensure performance and cost-effectiveness.

AWS Compute Optimizer analyzes data collected from CloudWatch and AWS services to offer actionable recommendations. It evaluates metrics over time, determining instance types, auto-scaling groups, and EBS volumes that offer the best performance-to-cost ratio. Tailored to diverse AWS environments, AWS Compute Optimizer aids in preventing over-provisioning and underutilization, thus maximizing resource utilization and cost savings. Furthermore, with its continuous monitoring capabilities, businesses can adjust their allocations based on evolving requirements.

What are the essential features of AWS Compute Optimizer?

Instance Recommendations: Suggests most suitable instance types to improve performance and reduce costs.
Auto Scaling Groups Recommendations: Helps optimize the configuration of auto-scaling groups.
Volume Recommendations: Offers insights on optimal EBS volumes, ensuring efficient storage configurations.
Visualization: Provides a dashboard to visualize recommendations and current resource utilization.
Machine Learning Insights: Utilizes ML algorithms to deliver precise optimization recommendations.

What benefits should be noticed when evaluating AWS Compute Optimizer?

Cost Reduction: Enables significant savings by suggesting optimal resource configurations.
Resource Efficiency: Improves resource utilization, ensuring that AWS infrastructure is neither over-provisioned nor underutilized.
Performance Enhancement: Enhances application performance by aligning resources with workload demands.
Scalability: Supports dynamic scaling, allowing continuous adjustment as demand fluctuates.

In industries like financial services, AWS Compute Optimizer is instrumental in ensuring infrastructure aligns with auditable cost optimization strategies. E-commerce sectors leverage it to maintain peak performance during fluctuating traffic, while tech businesses use its insights to meet unique computational demands without waste.

Amazon Web Services (AWS)

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service. Updated: October 2026.

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