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."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."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"It can scale."
"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"It is a stable platform."
"The various scaling options available, such as step scaling, are particularly useful."
"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."
"I like the graphs provided by the tool."
"The most valuable feature is the ability to manage the application flow."
"The alert mechanism is quite accurate when something goes wrong in your system. For example, if you have hundreds of APIs on your server, and any of the APIs is not performing well, you get an alert. When there is a drop or change in the threshold value, the beauty of New Relic is that within a fraction of seconds, all the stakeholders who are configured in the New Relic system will get an alert. That's one good thing."
"The most valuable feature of New Relic APM is the dashboard, New Relic Insights. I configured my own dashboard to monitor certain parameters."
"It is easier to create new dashboards in the New Relic interface, and it is also easier to query if when I want to monitor a different parameter or time duration on my dashboard."
"Every time there is a crisis, high traffic, or if we see a problem with a server, we go to New Relic and monitor it to determine the cause."
"The solution is good for sending alerts, drawing graphs about system usage, and creating plug-ins."
"New features are added often."
"New Relic's dashboard is nice, and it's reliable. It's also compatible with many services, especially Java and the Python ecosystem."
"The billing and cost optimization of the solution could be improved."
"It could be cheaper."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"The solution's infrastructure scalability and elasticity could be improved."
"In comparison to other public clouds, the product is costly."
"The product’s pricing needs improvement."
"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."
"I would like a feature where I can turn off alerting at a policy level. Thus, when a policy is inactive, I can shut down all of my alerts within the policy."
"In addition, its difficult to have a predictive tool to see how the application would behave in the future when it basically only shows the historical data."
"I would like to see the company implement the AI auto-baseline feature which Dynatrace has."
"New Relic APM could improve error debugging and the correlation with the logs. We are receiving some alerts or alarms but we need to correlate with the error log, but it is difficult if it is more than seven months retention period, it is hard to trace. We need this especially for getting historical information."
"The integration and configuration of this product in our AWS environment needs improvement on the filtering part. I would like it to go more granular on accounts."
"The monitoring is only as good as the alerts that it produces. By having it set up fine grain alerting, it is a bit of a pain."
"They should bring the pricing down to be more competitive."
"New Relic APM is a good tool, and it has a database of failures, but it could use a list of customer-specific failures. New Relic APM should be able to give my company advanced analytics through AI."
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.
