We performed a comparison between AWS Auto Scaling and New Relic 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."When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"I like the graphs provided by the tool."
"The various scaling options available, such as step scaling, are particularly useful."
"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."
"It is a stable platform."
"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."
"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."
"The feature I found most valuable is being able to design my queries. It's easy to design a query."
"The simplicity of the dashboard is very good."
"It does everything we wanted it to do."
"The best feature of New Relic is its simple look and feel, making it easier to use than other tools."
"It gives insights to non-technical people about what technical issues are most important, how much it impacts customers, and potentially, where we should be targeting our development teams when they have time."
"The most valuable feature of New Relic APM is the dashboard, New Relic Insights. I configured my own dashboard to monitor certain parameters."
"It has helped my organization to dive deeper into the application using the APM module is very helpful."
"The solution offers good documentation."
"The product’s pricing needs improvement."
"The tool's stability could be improved."
"The solution must improve automation."
"In comparison to other public clouds, the product is costly."
"The setup can be a bit complex in some situations."
"The solution's infrastructure scalability and elasticity could be improved."
"The product’s security features need improvement."
"The speed of the solution must be improved."
"The product has good documentation for Linux, however, their documentation for Windows is lacking substantially. It's something they need to develop."
"Compared to their competitors, they are missing some features at the moment."
"We have had issues with our agents going offline."
"I would like to have storage monitoring. E.g., being able to monitor SANS, specifically protocols, like NFS and CIFS metrics."
"The solution only supports the cloud platform and not on-premises."
"It is very difficult to award the service level cycles at an endpoint level."
"The solution is quite expensive."
"Some of our customers see New Relic as a promising product to have, and we would like to deliver it to them. The only way we would be able to do that would be if we had server appliance for clients that we could install in their data centres."
AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews while New Relic is ranked 3rd in Application Performance Monitoring (APM) and Observability with 152 reviews. AWS Auto Scaling is rated 8.8, while New Relic is rated 8.6. 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 New Relic writes "Has a simple user interface and end-to-end monitoring and self-healing features". AWS Auto Scaling is most compared with , whereas New Relic is most compared with Dynatrace, Datadog, Elastic Observability, Grafana and Prometheus. See our AWS Auto Scaling vs. New Relic 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.
