New Relic advances AI observability with new intelligence layer - Help Net Security

New Relic has announced New Relic Knowledge, a new platform capability that integrates telemetry and knowledge sources to enhance issue detection and resolution. By combining real-time telemetry with historical incident data, system changes, and deep operational context, the solution provides the foundational intelligence required for AI agents and engineering teams to better understand systems and resolve issues faster. Organizations can mitigate the $76 million risk of median annual downtime by accelerating mean time to resolution to machine speed, turning technical reliability into a measurable business edge. As organizations adopt AI-driven and agentic operations, the reliability of autonomous systems depends entirely on accurate, real-time system context. Without it, AI agents lack the institutional knowledge needed to correctly diagnose issues or take trustworthy action. In addition to serving AI agents, New Relic Knowledge is purpose-built for SREs, DevOps teams, and platform engineers who are under increasing pressure to maintain uptime in hyper-complex environments. Engineers often spend up to 40% of their time searching for context across dashboards, logs, docs, and tickets. New Relic Knowledge analyzes telemetry across metrics, logs, traces, and events, and correlates it with prior incidents to surface relevant context instantly. Key features of the capability include machine-speed troubleshooting that correlates anomalies with recent deployments instantly, as well as agentic decision support that empowers AI agents to recommend next steps with high confidence. The platform also focuses on operational toil reduction by providing context-rich answers embedded directly within existing workflows, eliminating the need for engineers to pivot across disparate tools.