"It makes organizing work easier based on its relevance to specific projects and teams."
"We are able to drill down and see what is going on in the system."
"The initial setup is straightforward. It is easy to track and easy to follow."
"We have done the New Relic integration with Serverless AWS, which has helped us with monitoring, and keeping our monitoring from our on-premise part with the cloud part."
"We like the performance of the product."
"The monitoring so far has been good and we are happy with it."
"The product allows the developer to see the actual problems in the applications."
"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."
"It does everything we wanted it to do."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
"Some AIOps are missing in New Relic APS, and I would like to see more features in this area."
"It is very difficult to award the service level cycles at an endpoint level."
"I haven't come across any features that are lacking."
"There has been some problem with the agent, and it is just not working well. It is not able to record information with the application server. They have been able to fix the issue, but it took quite a long time. This is the main issue in the APM products and also in New Relic. The mobile application monitoring has been pretty difficult to set up and also quite expensive. It should be a little bit easier and cheaper. Because it is pretty difficult and expensive, many customers don't take it."
"There are times when you restart the engines and the servers have a unique ID for the host and you need to remove the server. It is difficult because some are on-premise and others are production hosts. Having downtime is not very good when updating. However, it is not a constant issue."
"We have had issues with our agents going offline."
"There were some settings we had issues with."
"It is a serious tool and requires a lot of time invested in order to understand how it works."
Monte Carlo is ranked 1st in Data Observability with 1 review while New Relic is ranked 3rd in Application Performance Monitoring (APM) and Observability with 152 reviews. Monte Carlo is rated 9.0, while New Relic is rated 8.6. The top reviewer of Monte Carlo writes "Provides centralized data observability features and has an easy-to-use user interface. ". 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". Monte Carlo is most compared with Datadog, Splunk APM, Grafana and Dynatrace, whereas New Relic is most compared with Dynatrace, Datadog, Elastic Observability, Grafana and Prometheus.
We monitor all Data 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.
