AWS Auto Scaling vs AWS X-Ray comparison

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289 views|211 comparisons
90% willing to recommend
Amazon Web Services (AWS) Logo
7,032 views|6,277 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Auto Scaling and AWS X-Ray based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Auto Scaling vs. AWS X-Ray Report (Updated: May 2024).
772,127 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"AWS Auto Scaling is cost-effective and very useful for businesses.""When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements.""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.""The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide.""I like the graphs provided by the tool.""It can scale.""The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively.""The various scaling options available, such as step scaling, are particularly useful."

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"AWS X-RAY identifies bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration.""AWS X-Ray is a strong solution and has a smooth integration process.""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."

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Cons
"It has latency issues. It depends on the distribution used, whether it's Amazon Linux, Windows Linux, etc. Occasionally, there are latency issues, which might lead to slower performance.""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.""The solution is not out-of-the-box and you have to study to use it. It should be more easier to use.""Flexibility in configuring the workload is missing in AWS Auto Scaling.""The product’s pricing needs improvement.""The setup can be a bit complex in some situations.""The speed of the solution must be improved.""The product’s security features need improvement."

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"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.""The user interface is sometimes kind of confusing to understand. It's not very user-friendly.""I do not have any notes in terms of improvements.""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."

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Pricing and Cost Advice
  • "The pricing is good. I have not had any customers that have complained about the price."
  • "AWS Auto Scaling's price is high."
  • "The product has moderate pricing."
  • "The product is expensive."
  • "AWS Auto Scaling is a cheap solution."
  • "AWS Auto Scaling is an expensive solution."
  • "AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
  • More AWS Auto Scaling Pricing and Cost Advice →

  • "The pricing for AWS X-Ray is a six out of ten."
  • "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."
  • More AWS X-Ray Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:AWS Auto Scaling is an expensive solution. We pay a monthly licensing fee for the solution.
    Top Answer:In comparison to other public clouds, the product is costly.
    Top Answer:AWS X-Ray is a strong solution and has a smooth integration process.
    Top Answer:They can improve how traces are sent to other providers.
    Ranking
    Views
    289
    Comparisons
    211
    Reviews
    16
    Average Words per Review
    323
    Rating
    8.7
    Views
    7,032
    Comparisons
    6,277
    Reviews
    5
    Average Words per Review
    547
    Rating
    8.2
    Comparisons
    Also Known As
    AWS Auto-Scaling
    Learn More
    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.

    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.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Non Tech Company18%
    Retailer9%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company14%
    Government14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company16%
    Manufacturing Company10%
    Comms Service Provider5%
    Company Size
    REVIEWERS
    Small Business43%
    Midsize Enterprise10%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise2%
    Large Enterprise76%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    Buyer's Guide
    AWS Auto Scaling vs. AWS X-Ray
    May 2024
    Find out what your peers are saying about AWS Auto Scaling vs. AWS X-Ray and other solutions. Updated: May 2024.
    772,127 professionals have used our research since 2012.

    AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews while AWS X-Ray is ranked 14th in Application Performance Monitoring (APM) and Observability with 6 reviews. AWS Auto Scaling is rated 8.8, while AWS X-Ray is rated 8.0. The top reviewer of AWS Auto Scaling writes "The product helps reduce costs and avoids interruptions to the customer experience". On the other hand, the top reviewer of AWS X-Ray writes "Saves time, is relatively cheap, and helps find errors". AWS Auto Scaling is most compared with , whereas AWS X-Ray is most compared with Datadog, Azure Monitor, New Relic, Sentry and Google Cloud's operations suite (formerly Stackdriver). See our AWS Auto Scaling vs. AWS X-Ray report.

    See our list of best Application Performance Monitoring (APM) and Observability vendors.

    We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.