**New Relic ** Monitoring Errors

New Relic Infrastructure provides flexible, dynamic monitoring; real-time visibility into hosts, systems, containers, and applications; and actionable alerting and troubleshooting for faster time-to-resolution.

#What is **New Relic **?

New Relic Monitoring is a cloud-based application performance monitoring (APM) solution that provides real-time visibility into the performance of web applications, mobile apps, and infrastructure. It allows developers and IT teams to monitor and troubleshoot issues, improve the customer experience, and optimize the performance of their applications.

#**New Relic ** Key Features

Most recognizable **New Relic ** features include:

  • Real-time monitoring: Provides real-time insights into application performance and user experience.
  • End-to-end tracing: Allows for deep visibility into application dependencies, from front-end to back-end.
  • Dynamic baselining: Uses machine learning to create dynamic baselines of application performance and alert users when deviations occur.
  • Customizable dashboards: Offers customizable dashboards for a real-time overview of performance metrics.
  • Distributed tracing: Enables tracing of transactions across distributed systems and microservices.
  • Error analytics: Provides detailed error analysis with root cause analysis and stack traces.

#**New Relic ** Use-Cases

Some of the **New Relic ** use-cases are:

  • Application performance monitoring: Monitor the performance of web and mobile applications, APIs, and microservices.
  • Infrastructure monitoring: Monitor the health and performance of servers, containers, and cloud infrastructure.
  • DevOps and Site Reliability Engineering (SRE): Collaborate across teams to identify and resolve issues, improve application performance, and optimize infrastructure.

#**New Relic ** Summary

New Relic Monitoring is a cloud-based APM solution that provides real-time insights into the performance of web applications, mobile apps, and infrastructure. Its features include real-time monitoring, end-to-end tracing, dynamic baselining, customizable dashboards, distributed tracing, and error analytics. Its use cases include application performance monitoring, infrastructure monitoring, and DevOps/SRE collaboration.

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