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AWS Auto Scaling vs AWS X-Ray comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024
 

Categories and Ranking

AWS Auto Scaling
Ranking in Application Performance Monitoring (APM) and Observability
16th
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
20
Ranking in other categories
No ranking in other categories
AWS X-Ray
Ranking in Application Performance Monitoring (APM) and Observability
17th
Average Rating
7.8
Reviews Sentiment
7.7
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.1%, down from 0.1% compared to the previous year. The mindshare of AWS X-Ray is 3.9%, up from 3.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Wai L Lin O - PeerSpot reviewer
Easy to use and effectively monitors application and CPU utilization
We mostly integrate AWS Auto Scaling with CloudWatch monitoring and set a target CPU utilization for some devices. If our application CPU utilization is higher, we scale using the solution, which is very easy AWS Auto Scaling is very easy to use. We don't need to worry about any application…
Parth Solanki - PeerSpot reviewer
Saves time, is relatively cheap, and helps find errors
If we get any error, we can go to X-Ray and get all the requests for a certain error in one place. It makes it easy to find the issue in your own product. You can look at logs and error logs and find loopholes. You can do direct queries to get specific requests over the course of a day. It's very good at error reporting and quite fast. You also get a lot of information, including IP addresses, user locations, et cetera.

Quotes from Members

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

Pros

"The setup is not very complex."
"It can scale."
"The solution helps optimize the cost of the AWS environment."
"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. When it reaches seventy percent, it sends me an email notification."
"It is a stable platform."
"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."
"AWS X-Ray is a strong solution and has a smooth integration process."
"The error analysis capabilities of X-Ray are really good."
"AWS X-RAY identifies bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration."
"It is a very scalable solution."
"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."
"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."
"The most important one is compliance. We're able to achieve our regulatory levels. We're able to achieve the security level that we need for the federal government."
"The most beneficial feature is that it shows a dashboard for performance intervals, which reveals latencies."
 

Cons

"Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."
"The solution's infrastructure scalability and elasticity could be improved."
"The product’s pricing needs improvement."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"AWS Auto Scaling's documentation could be better."
"The tool must include AI features."
"The solution must improve automation."
"The speed of the solution must be improved."
"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"If you have a small team, it's probably overkill."
"They can improve how traces are sent to other providers."
"What needs to be better in AWS X-Ray is the log filtering. Predefined filters could be helpful because the power of analytics comes from how you can filter the data. I also want to see more KPIs from AWS X-Ray."
"A significant downside is that it is very expensive."
"It should have X-Ray SDKs for different languages like Node.js, Python, or Java."
"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."
"I do not have any notes in terms of improvements."
 

Pricing and Cost Advice

"The product has moderate pricing."
"The pricing is good. I have not had any customers that have complained about the price."
"AWS Auto Scaling is a cheap solution."
"AWS Auto Scaling's price is high."
"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
"AWS Auto Scaling is an expensive solution."
"The product is expensive."
"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 pricing for AWS X-Ray is a six out of ten."
"The solution is a bit expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
21%
Computer Software Company
17%
Manufacturing Company
9%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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...
What is your experience regarding pricing and costs for AWS Auto Scaling?
Auto Scaling's cost is neither cheap nor overly expensive. It depends on the scaling extent and application requirements, which can be calculated using a cost calculator. Customers pay based on how...
What needs improvement with AWS Auto Scaling?
Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps. This complexity led me to migrate to CloudFormation, which...
What do you like most about AWS X-Ray?
AWS X-Ray is a strong solution and has a smooth integration process.
What is your experience regarding pricing and costs for AWS X-Ray?
AWS X-Ray is very beneficial, however, it is expensive. It should be more cost-effective.
What needs improvement with AWS X-Ray?
It should have X-Ray SDKs for different languages like Node.js, Python, or Java. It should also have custom annotations and better instruments for external API services. In addition to these, X-Ray...
 

Also Known As

AWS Auto-Scaling
No data available
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow
Find out what your peers are saying about AWS Auto Scaling vs. AWS X-Ray and other solutions. Updated: December 2024.
824,067 professionals have used our research since 2012.