New Relic, Inc. is an observability and application performance monitoring (APM) company that provides a cloud-based platform for monitoring, debugging, and optimizing software and infrastructure. Its platform ingests telemetry data across applications, infrastructure, logs, and browser/mobile experiences to help engineering and DevOps teams improve reliability and performance. New Relic serves enterprises and digital businesses across industries including technology, e‑commerce, media, and financial services.
Think of this as a playbook for turning your IT monitoring tools into a smart “control tower” that spots problems early, understands what’s going wrong across systems, and often fixes or routes issues automatically—using ServiceNow’s AIOps capabilities as the backbone.
Think of this as putting an AI ‘air traffic controller’ on top of your customer support systems in the cloud. It quietly watches everything—traffic spikes, slow services, error logs—and automatically tunes the environment so support agents and customers get fast, reliable help 24/7.
Imagine your entire IT environment—servers, networks, apps, cloud services—constantly watched by a smart assistant that never sleeps. It reads all the logs, alerts, tickets, and performance data, spots early warning signs, figures out what’s really important, suggests fixes, and in many cases can trigger automated responses before users even notice a problem.
Think of it as an AI control tower for your IT operations: it watches logs, alerts, and metrics 24/7, spots problems early, and suggests or triggers fixes automatically so your systems stay healthy with less manual firefighting.
This is like giving your IT department a smart assistant that constantly watches all your servers, apps, and networks, learns what “normal” looks like, and alerts you early when something strange is happening—before it becomes a major outage.
Think of AIOps as an always-on "control tower" for your IT systems that watches all logs, alerts, and metrics at once, spots real problems in the noise, and suggests or triggers fixes before users feel the pain.
This is like an AI control tower for your IT systems that constantly watches logs, metrics, and alerts, spots issues before humans notice them, and suggests or triggers fixes automatically.