We performed a comparison between AWS Auto Scaling and Prometheus 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."It is a stable platform."
"Our internal business applications are hosted in AWS Auto Scaling."
"The product provides self-healing features."
"The solution's monitoring effectively monitors our application and CPU utilization."
"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."
"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."
"I like the graphs provided by the tool."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"The most valuable features of Prometheus for metrics collection and monitoring are its stability, robustness, and rich set of features."
"Stability-wise, I rate the solution a ten out of ten."
"The product's initial setup phase is very easy."
"The most valuable features of Prometheus are the many functions available. The functions are helpful for understanding the behavior of applications and infrastructure."
"The good thing is it integrates well with the Grafana dashboard. It comes with a UI where you see everything as a graph."
"Prometheus gives us high availability automatically."
"It is highly valuable as it serves as the foundation for our infrastructure monitoring tools."
"The solution can be deployed in thirty minutes."
"In comparison to other public clouds, the product is costly."
"The tool must include AI features."
"AWS Auto Scaling's documentation could be better."
"The product’s pricing needs improvement."
"The product’s security features need improvement."
"It could be cheaper."
"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 speed of the solution must be improved."
"Prometheus requires improvement on the query side."
"The solution's error handling part could be improved."
"Lacks the ability to clusterize."
"If you want to collect details of metrics, you should be able to write a query for it directly. I want the product to offer better queries for the metrics."
"The interface is not particularly user-friendly and that could be improved."
"Its stability could be even better."
"There is a need for a more comprehensive overview of exporters, especially when dealing with many of them."
"Its documentation could be clearer to understand."
AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews while Prometheus is ranked 9th in Application Performance Monitoring (APM) and Observability with 32 reviews. AWS Auto Scaling is rated 8.8, while Prometheus is rated 8.4. 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 Prometheus writes "A very flexible open box that can be used vastly to do anything you need". AWS Auto Scaling is most compared with , whereas Prometheus is most compared with Azure Monitor, New Relic, Dynatrace, Sentry and AWS X-Ray. See our AWS Auto Scaling vs. Prometheus 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.
