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: September 2026).

Buyer's Guide

Compute Service

September 2026

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Helped 915,287 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

"Amazon EC2 Auto Scaling is flexible as it is managed by the user, allowing quick and easy instance creation."

"The most valuable features of Amazon EC2 Auto Scaling include its efficient alarm system that notifies us even when we are not at our desks, and the snapshot feature is also incredible because it allows us to recover data easily."

"The Amazon EC2 Auto Scaling features are simple to use, the performance is excellent, it's very easy to use and manage, and we have no issues with the integration of Amazon EC2 Auto Scaling."

"The most valuable features are that it is stable, flexible, and reliable."

"Amazon EC2 Auto Scaling has a cool-down time feature called the warmup start."

"The Amazon EC2 Auto Scaling features are simple to use."

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

"The main benefit of implementing Amazon EC2 Auto Scaling is that service availability for end users reaches 99.99%, with effectively zero downtime."

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

"I would like to see a feature included that has the capability to clone when an instance is being terminated."

"Amazon EC2 Auto Scaling can provide more discounts when using the machines the solution uses."

"Sometimes the configuration is not intuitive."

"We would like to see improvement in the UI for this solution, so that it is more user-friendly."

"For future improvements, I suggest focusing on cost reduction."

"It's an expensive solution."

"The tool must provide proper guidelines to troubleshoot connectivity issues."

"Could integrate more with other platforms."

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

"The product's pricing depends on the traffic and workload."

"The product is expensive."

"The product is quite expensive."

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

"The solution is less expensive than a few competitors."

"Pricing could be a little bit more competitive."

"The solution's licensing is based on a pay-as-you-go model. You only pay for the resources you use, whether it's RAM, processing power, or storage. So, it's calculated based on the time you use those resources, typically billed in hours or minutes."

"It's cost-effective."

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

Construction Company

10%

Outsourcing Company

10%

Comms Service Provider

10%

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

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Compared 25% of the time

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Compared 20% of the time

Apache NiFi vs Amazon EC2 Auto Scaling

Compared 9% of the time

Zadara vs Amazon EC2 Auto Scaling

Compared 9% of the time

More Amazon EC2 Auto Scaling Competitors

AWS Fargate vs AWS Compute Optimizer

Compared 48% of the time

Amazon Elastic Inference vs AWS Compute Optimizer

Compared 37% of the time

Amazon EC2 vs AWS Compute Optimizer

Compared 8% of the time

More AWS Compute Optimizer Competitors

Product Reports

Buyer's Guide

Amazon EC2 Auto Scaling

September 2026

Download Amazon EC2 Auto Scaling product report

Buyer's Guide

Compute Service

September 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: September 2026.

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