"In-context performance data to support incident remediation: Instead of siloed, disconnected data across ITSM and several monitoring and observability platforms, New Relic telemetry data and changes flow directly into the Rovo Ops agent. This enables your service agents to quickly detect anomalies and incidents-like a recent commit being modified-without context-switching between multiple tools. AI-suggested fixes based on past incident data:"
"Within the Rovo Ops workflow, New Relic agentically generates observability insights and intelligent actions (e.g., looping in a service owner to validate a commit), resulting in shorter mean time to resolution (MTTR). Automated post-incident review generation and learnings: After an incident is resolved, the Rovo Ops agent will pull in New Relic intelligent observability data and insights to automatically generate a post-incident review (PIR) report, supporting service agents in increasing the operational efficiency of their incident response and prevention strategies."
The integration channels New Relic telemetry and change data directly into the Rovo Ops agent to eliminate siloed monitoring and reduce context-switching for service teams. Rovo Ops surfaces anomalies and incidents with in-context performance data, helping agents detect issues like modified commits quickly. The integration generates AI-suggested fixes and intelligent actions within the workflow, such as looping in a service owner to validate a change, which reduces mean time to resolution (MTTR). After resolution, the agent automatically produces post-incident review reports using observability insights to capture learnings and improve incident response and prevention. No complex development is required to enable these capabilities.
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