New Relic

New Relic is a comprehensive observability platform that enables software teams to plan, build, deploy, and run great software by providing real-time visibility into every layer of the technology stack. Founded in 2008 and headquartered in San Francisco, California, New Relic serves thousands of customers worldwide and processes billions of data points daily from applications and infrastructure across every major industry.

New Relic APM (Application Performance Monitoring) provides deep visibility into application behavior in production, automatically instrumenting applications written in Java, .NET, Node.js, Python, Ruby, PHP, and Go to capture transaction traces, database queries, external service calls, and error rates. New Relic's AI-powered anomaly detection automatically identifies unusual patterns in application performance and proactively alerts teams before issues impact users.

New Relic Infrastructure provides real-time monitoring of cloud instances, virtual machines, containers, and Kubernetes clusters, with more than 700 integrations for cloud services, databases, message queues, and infrastructure components. The platform correlates infrastructure metrics with application performance data and deployment events, enabling teams to quickly identify when infrastructure changes or resource constraints are causing application performance degradation.

New Relic Browser monitoring provides real user monitoring (RUM) capabilities that capture the actual experience of end users including page load times, JavaScript errors, AJAX request performance, and Core Web Vitals. New Relic Synthetic Monitoring proactively tests the availability and performance of web applications and APIs from locations around the world, alerting teams before real users are impacted by outages or slow response times.

New Relic's unified platform approach, built on the New Relic Telemetry Data Platform, consolidates logs, metrics, traces, and events from all sources into a single store with a common query language (NRQL). This unified data model eliminates the need to switch between multiple monitoring tools and correlate data manually, enabling teams to go from alert to root cause in minutes rather than hours.