New Relic

New Relic's main purpose is to provide an AI-empowered observability platform designed for comprehensive system telemetry. It assists in consolidating and correlating telemetry across an entire stack, with the goal of pinpointing the root cause of issues and minimizing Mean Time To Resolution (MTTR). It aims to maintain optimal system performance while enhancing user experience and maximizing conversions.

AI in New Relic is integrated within its monitoring functions and is used to detect and address friction points in real-time. AI intelligence is used to deliver observability insights to AI agents in the work environment. It also enhances session replays by identifying friction points automatically. In their security feature, AI reasoning is employed to prioritize and resolve vulnerabilities more efficiently.

New Relic is capable of consolidating and correlating a wide array of data from your entire stack. This includes telemetry data, AI system behavior, multi-cloud and Kubernetes spend data, log data, production impact data, and data related to infrastructure health and performance.

New Relic assists in pinpointing the root cause of system issues by providing a consolidated view of fault, configuration, and performance data collected from the entire technology stack. By correlating this data, it helps in isolating where and when issues happened thereby reducing the mean time to identify the root cause.

In the context of New Relic, Mean Time To Resolution (MTTR) stands for the average time required to resolve a fault or failure in a system, from the time an issue is identified to the time it is resolved. New Relic's data consolidation, correlation, and observability features are designed to assist in reducing the MTTR by facilitating quicker identification and resolution of issues.