New Relic announced Logs Intelligence, a series of AI-strengthened capabilities that automate the time and effort required to reduce mean time to resolution (MTTR) and extract critical insights from logs.
Featured key innovations, like AI Log Alerts Summarization, transform how teams work with log data by providing automated analysis to generate a rapid hypothesis, dramatically accelerating time to root cause understanding and incident response.
“Modern distributed systems and AI tools generate logs at an unprecedented rate,” said New Relic CTO Siva Padisetty. “Traditional log management, the backbone of troubleshooting but a source of immense complexity and manual effort, becomes infinitely challenging at this scale. With Logs Intelligence, New Relic turns the wall of unstructured data into actionable insights — accelerating incident response, reducing MTTR, and freeing teams to focus on higher-value work.”
Now a capability of New Relic’s Intelligent Observability Platform, New Relic Logs Intelligence transforms a manual process into an automated, insight-driven analysis model.
AI Log Alerts Summarization from New Relic analyzes the related logs, highlighting dominant error patterns, and generating a clear, actionable hypothesis for resolution. Instead of simply notifying teams that a problem exists, AI Log Alerts Summarization provides the “why” behind the alert. Engineers receive a structured summary of the issue directly within their workflow, which shortens MTTR and reduces the stress of incident response. By shifting the analytical burden from humans to AI, teams can focus on executing fixes and maintaining system stability, rather than piecing together scattered log data.
With Scheduled Search, New Relic automates query executions and proactively delivering critical insights when and where they’re needed. This automation not only saves time, but also ensures teams never miss key signals hidden in their log data. Scheduled Search delivers actionable reports directly via email or Slack. These reports go beyond surface-level visibility to include clickable insights that let operators take immediate action, reducing delays and improving efficiency. Scheduled Search equips teams to identify issues sooner, make faster decisions, and avoid costly downtime.
New Relic’s Fine Grain Access Control for Logs gives organizations precise, policy-driven control over who can access specific log data without forcing them to compromise on observability. Security and compliance teams can enforce granular permissions that align with organizational policies, while engineers retain the ability to troubleshoot effectively using the full power of logs-in-context.
Limited previews of AI Log Alerts Summarization, Scheduled Search and Fine Grain Access Control are available as part of the New Relic Intelligent Observability Platform.
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