New Relic is the Standard in App Monitoring
Anonymous | TrustRadius Reviewer
May 01, 2019

New Relic is the Standard in App Monitoring

Score 8 out of 10
Vetted Review
Verified User
Review Source

Software Version

New Relic for Web Apps

Overall Satisfaction with New Relic

New Relic is used in the IT department to monitor servers and our e-commerce website. It provides server-level metrics, JavaScript error monitoring, and uptime monitoring for servers and the website.
  • Server Monitoring
  • App Debugging
  • Uptime Alerts
  • Can get pricey
  • Infrastructure monitoring used to be better (and free)
  • Reduce downtime length
  • Proactive notifications for errors impacting users
New Relic does a nice job monitoring and has a nice alert system. We integrate ours with Pager Duty. It falls short with predictions and database monitoring which we just data dog for.
New Relic helped establish better trust with our business since IT actually knew what was going and that something was wrong before users did. This was huge!
Live/streaming data is the new standard and is necessary to keep up with the modern system. I can’t wait until other systems (like BI platforms) catchup. The proactive monitoring helps my team be responsive and the first to know, not the last.
New Relic is more affordable for infrastructure monitoring and had a more mature app monitoring suite (but data dog is catching up). Data dog has better predictive analytics and DB monitoring.
New Relic works great if you are doing any sort of custom development and run a production web app. I’m not sure however how good the Docker support is because I haven’t used New Relic for that. I have also found that if you use almost exclusively SaaS providers and don’t do custom development there may be more economical options.

New Relic Feature Ratings

Application monitoring
Database monitoring
Threshold alerts
Predictive capabilities
Application performance management console
Collaboration tools
Out-of-the box templates to monitor applications
Application dependency mapping and thresholding
Virtualization monitoring
Server availability and performance monitoring
Server usage monitoring and capacity forecasting