As software and systems grow in complexity, on-call engineers have a lot more to monitor and react to—a wider surface area, more frequent software changes, more data across fragmented tools, more alerts, and more pressure to respond quickly when problems occur that could impact customer experience or SLOs. Alert fatigue is real. It’s a challenge to separate signals from the noise, prioritize alerts, and know what to take action on first.
AIOps helps by putting artificial intelligence and machine learning in the hands of on-call teams so they can detect, diagnose, and respond to incidents faster. New Relic Applied Intelligence, part of the New Relic One observability platform, provides automatic, easy-to-use AIOps capabilities to take the headache and guesswork out of incident response.
Instantly detect anomalies and outliers
Detect potential problems early by receiving notifications in your tool of choice, such as Slack, before they impact customers.
Applied Intelligence proactively monitors your application metrics and log data for patterns and anomalies based on SRE golden signals—such as latency, errors, and traffic—and notifies you immediately.
Explore millions of log messages with a single click and reduce manual querying by automatically clustering your log data to quickly find anomalous patterns and problematic needles in the haystack.
Get detailed analytics for each anomaly to help you troubleshoot, including related signals for the anomalous service and visibility into the behavior of upstream and downstream services.