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."The solution helps optimize the cost of the AWS environment."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"The solution's monitoring effectively monitors our application and CPU utilization."
"It can scale."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"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."
"It is a stable platform."
"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 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 is a strong solution and has a smooth integration process."
"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 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 solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"The tool must include AI features."
"It could be cheaper."
"The setup can be a bit complex in some situations."
"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's infrastructure scalability and elasticity could be improved."
"The tool's stability could be improved."
"The product’s security features need improvement."
"I do not have any notes in terms of improvements."
"If you have a small team, it's probably overkill."
"They can improve how traces are sent to other providers."
"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."
"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"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."
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.
