New Relic Observability Enablement
August 04, 2025

New Relic Observability Enablement

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with New Relic

New Relic helps in observability setup for the critical environments and getting known about the issues and troubleshoot the applications and services. Alerts helps in knowing the abnormal state of the system and services, Dashboards are used for visualizing the key metrics and muting the unwanted notifications and dropping the extra data from the source.
We use the New Relic for the observability implementations for the applications like frontend and backend. Integrating the cloud account and services. It helps in understanding the performance of the applications and troubleshooting the apps if any error's occurs. In the New Relic it helps in setting up the alerts and getting notified as per the service breaches the conditions. Building the dashboards for visualizing the insights. creating the synthetics for availability of the endpoints and proactive monitoring and checking the status of the apps.

Pros

  • Template variable dashboarding and filtering the data
  • Workloads and checking the status of the apps in one place related to the one env or the one project
  • Support of instrumentation with the third party tools
  • Alerting and getting notified to the users via channels

Cons

  • API calls for the third party tools latency sometimes slow it can be improved
  • Instrumentation steps can given in more clear format
  • sometimes there is slight in the data visibility that can worked on for the spot data
  • By this tools we are able to know the overall performance's of the services
  • Getting notified whenever a system or services behaves abnormal
  • Helping client to understand the data visually and improve the performance of the services and systems
Here in New Relic it supports the application monitoring that hosted in the private, public, hybrid environments. By this we are now able to know the over all performance of the both frontend and backend applications and transactions durations and latency of the calls from the server to the client. Error's by the pages and status codes which is very important in understanding and troubleshooting the services and RCA can be done easily the distributed tracing and the services maps.
Yes the New Relic supports the instrumentation of the multi cloud services and also helps in integrating the cloud accounts, we can also filter which data from the services need to be sent to New Relic. It also supports the instrumentation by the IaC scripts which is simple and easy process for integrating cloud resources with New Relic. After instrumenting the data gets populated to the New Relic we are able to see the performance of the services by the Metrics, Traces, Logs and Events these helps understanding more deeper about the services and helps RCA and get issue's resolved when occur's.
Yes, in our Organization DevOps team uses the New Relic it helps us a lot for the instant troubleshooting related to the cloud services and application. Also we can get the deployment status whether they are success or failed. Alerting helps a lot in getting notified about the services or instances downtimes or getting known about the utilization of the resources and dashboards helped our Team in visualizing the Services Metrics and visualize the key performance metrics and filtering the data as per the required services.
Tracing of the services calls between the entire components in the architecture is good and easy to understand.
Dashboarding building process is simple.
UI is simple.

Do you think New Relic delivers good value for the price?

Yes

Are you happy with New Relic's feature set?

Yes

Did New Relic live up to sales and marketing promises?

Yes

Did implementation of New Relic go as expected?

Yes

Would you buy New Relic again?

Yes

Application Monitoring
Cloud services monitoring
On-boarding Observability to client infra
Alerting, notifications and workflows
Dashboarding for visualizing the key metrics and insights
synthetics and muting rules
Log parsing and Drop rules

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