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RunLLM
RunLLM is an AI platform that automates incident investigations by querying observability tools, correlating telemetry, and delivering root-cause analyses. It generates live runbooks and remediation recommendations to accelerate MTTR and create an auditable history of incidents.
Use Cases
- 🟢 Automate end-to-end incident investigations with RunLLM by querying your observability stack (traces, logs, deployments), correlating telemetry into causal failure analyses, and producing reproducible investigation records plus prioritized remediation guidance for on-call teams.
- 🟢 Create live incident runbooks that update automatically as RunLLM correlates alerts and telemetry, enabling engineers to execute safe remediation steps, track actions in real time, and generate auditable timelines for postmortems and compliance.
- 🟢 Generate continuous diagnostic trends and alert-correlation dashboards using RunLLM's telemetry correlation engine to reduce noise, surface recurring failure patterns, prioritize engineering work, and provide an auditable trail for SRE reviews and incident prevention.