AWS Auto Scaling vs AWS X-Ray comparison

AWS Auto Scaling and AWS X-Ray are both solutions in the Application Performance Monitoring (APM) and Observability category. AWS Auto Scaling is ranked #14 with an average rating of 8.7, while AWS X-Ray is ranked #15 with an average rating of 7.4. AWS Auto Scaling holds a 0.4% mindshare in APM, compared to AWS X-Ray’s 2.0% mindshare. Additionally, 91% of AWS Auto Scaling users are willing to recommend the solution, compared to 90% of AWS X-Ray users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

802 Views
754 Comparison Views

91% willing to recommend

AWS X-Ray

Read 11 AWS X-Ray reviews

4,470 Views
4,247 Comparison Views

90% willing to recommend

AWS Auto Scaling

AWS X-Ray

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

AWS X-Ray and AWS Auto Scaling are two distinct services in the AWS ecosystem. Based on user reviews, AWS Auto Scaling appears to have the upper hand due to its robust feature set, though AWS X-Ray is favored for its simplicity.

Features: AWS X-Ray offers detailed tracing capabilities, service map visualization, and quick identification of performance bottlenecks. AWS Auto Scaling provides automatic resource scaling, ensures optimal performance, and reduces costs, making it superior in automation and efficiency.

Room for Improvement: AWS X-Ray could improve by enhancing its integration with more AWS services, supporting larger environments, and providing better flexibility. AWS Auto Scaling needs more intuitive setup options, granular control over scaling policies, and usability enhancements.

Ease of Deployment and Customer Service: AWS X-Ray is noted for simple deployment and responsive customer service, with easy integration into existing systems. AWS Auto Scaling also has good deployment reviews, though initial configuration can be tricky. Both have good customer service, but AWS Auto Scaling's steeper learning curve poses a challenge.

Pricing and ROI: AWS X-Ray is cost-effective and offers a good return on investment through improved visibility. AWS Auto Scaling, while more expensive, saves costs by optimizing resource usage and offers a higher long-term ROI.

To learn more, read our detailed AWS Auto Scaling vs. AWS X-Ray Report (Updated: December 2025).

Buyer's Guide

AWS Auto Scaling vs. AWS X-Ray

December 2025

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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

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

14th

Average Rating

8.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS X-Ray

Ranking in Application Performance Monitoring (APM) and Observability

15th

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.4%, up from 0.1% compared to the previous year. The mindshare of AWS X-Ray is 2.0%, down from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
AWS Auto Scaling	0.4%
AWS X-Ray	2.0%
Other	97.6%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Automation has simplified traffic management and improved workload efficiency

I'm not really sure what improvements I would want to see in AWS Auto Scaling because I haven't really used it extensively or explored most of it. To the extent that I've used it so far, I think it is very good. I can't really say for certain what should be improved because I haven't really explored it a lot. However, what I've been using it for has been very good. If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help. If there could be more documentation and training on it, that would be beneficial.

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Muhmad Tabrez A Deewanji

Lead Software Engineer at a tech services company with 1,001-5,000 employees

Improving performance through efficient trace metrics and data insights

As an application developer and architect, I appreciate AWS X-Ray for checking latency and identifying bottlenecks. I use it for performance tuning, conducting performance testing on applications, getting real-time traces, and gaining data insights. It helps in improving throughput and tuning infrastructure. The trace metrics and data collected provide valuable insights.

Read full review

Quotes from Members

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

Pros

"It is a stable platform."

"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."

"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."

"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."

"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."

"Auto Scaling is a cool feature that works well and its automatic scaling capabilities are very useful."

"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."

"It can scale."

More AWS Auto Scaling pros

"The most promising feature of AWS X-Ray is that you can debug the issues through the proper logs. You can also get an analysis out of the logs for some use cases, though I have yet to try all the features of AWS X-Ray."

"AWS X-Ray shows us exactly when there are delays, helping us understand the depth of issues and what is happening point-to-point."

"The best feature of AWS X-Ray is the ability to correlate data out of the box, ensuring that if one service calls another service, it will provide a full flow of what has happened without needing to build or develop anything around it."

"It is a very scalable solution."

"The solution has made it easier for us to trace the problems that we have with our requests and to monitor the timing of each step in each request we do in our endpoints."

"AWS X-Ray shows us exactly when there are delays, helping us understand the depth of issues and what is happening point-to-point."

"AWS X-Ray's endpoints and user monitoring are considered the most valuable features."

"AWS X-RAY identifies bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration."

More AWS X-Ray pros

Cons

"AWS Auto Scaling's documentation could be better."

"The setup can be a bit complex in some situations."

"There hasn't been a need for improvements."

"The only area of improvement is the speed at which servers are launched. When cleaning up to six servers at a time, it can take up to 15 to 20 minutes to launch new servers."

"If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help."

"The solution's infrastructure scalability and elasticity could be improved."

"We can have more auto scaling algorithms implemented in AWS Auto Scaling."

"Setting up the configuration involves too much work for the cloud engineer."

More AWS Auto Scaling cons

"It should have X-Ray SDKs for different languages like Node.js, Python, or Java."

"A significant downside is that it is very expensive."

"If you have a small team, it's probably overkill."

"They can improve how traces are sent to other providers."

"I do not have any notes in terms of improvements."

"Compared to other open-source tools, AWS X-Ray needs improvement in providing discounts."

"Like most Amazon products, the user interface, configuration, and tuning aren't the easiest. That's the biggest reason why people tend to go to products like TerraForm and Terragrunt. We use TerraForm and Terragrunt. So, for setting things up and interacting with X-Ray, it's definitely the user interface that can be better."

"Sometimes, the collector agents are confusing to configure initially."

More AWS X-Ray cons

Pricing and Cost Advice

"The product is expensive."

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

"The product has moderate pricing."

"AWS Auto Scaling is an expensive solution."

"The pricing is good. I have not had any customers that have complained about the price."

"AWS Auto Scaling's price is high."

"AWS Auto Scaling is a cheap solution."

"As you develop a relationship with Amazon, your pricing gets lower. You get credits for the amount of the system you use, and then if you're the government, you can get government pricing. For commercial users, there's a hump when you go from small to medium to big enterprise. Small businesses can live pretty easily off the free tier in a lot of cases, but when you go from a medium to a big enterprise, it becomes more expensive on a per-user basis. I'd like to see that curve going in a different way where pricing can be driven down while people are trying to adopt the technology."

"The solution is a bit expensive."

"The pricing for AWS X-Ray is a six out of ten."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	8
Large Enterprise	3

Questions from the Community

What do you like most about AWS Auto Scaling?

The tool's most valuable feature is vertical auto-scaling, which is easy to use. However, most companies now prefer horizontal scaling. I set up the health check integration to monitor CPU usage. W...

See all answers

What is your experience regarding pricing and costs for AWS Auto Scaling?

I'm not sure about the pricing aspect of AWS Auto Scaling or the cost of it.

See all answers

What needs improvement with AWS Auto Scaling?

See all answers

What is your experience regarding pricing and costs for AWS X-Ray?

While I have not compared it with GCP or Azure ( /products/microsoft-azure-reviews ), AWS generally offers cost-effective services. Some services, like Athena ( /products/odyssey-software-athena-eo...

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What needs improvement with AWS X-Ray?

The challenges we faced with AWS X-Ray were that some of the AWS services we were using did not support it, which we discovered at a later stage. This was potentially a design consideration we shou...

See all answers

What is your primary use case for AWS X-Ray?

I have been using AWS X-Ray for creating insights to our applications we have developed. It is used to correlate different services in AWS when a transaction happens, allowing us to see the flow of...

See all answers

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

January 2026

Download AWS Auto Scaling product report

Buyer's Guide

AWS X-Ray

January 2026

Download AWS X-Ray product report

Also Known As

AWS Auto-Scaling

No data available

Overview

AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

Amazon Web Services (AWS)

AWS X-Ray is a powerful debugging and performance analysis tool offered by Amazon Web Services. It allows developers to trace requests made to their applications and identify bottlenecks and issues.

With X-Ray, developers can visualize the entire request flow and pinpoint the exact location where errors occur. It provides detailed insights into the performance of individual components and helps optimize the overall application performance.

X-Ray integrates seamlessly with other AWS services, making it easy to trace requests across different services and identify dependencies. It also offers a comprehensive set of APIs and SDKs, enabling developers to instrument their applications and capture valuable data for analysis. With its user-friendly interface and powerful features, AWS X-Ray is a valuable tool for developers looking to improve the performance and reliability of their applications.

Amazon Web Services (AWS)

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow

Buyer's Guide

AWS Auto Scaling vs. AWS X-Ray

December 2025

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