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Automated Root Cause Analysis Software
Find root causes in minutes, not hours.
Traditional root cause analysis software documents what went wrong after the fact. RunLLM finds the root cause while the incident is unfolding.
When an alert fires, RunLLM automatically >
Investigates across your entire stack.
Correlates evidence across all signals.
Tests multiple hypotheses in parallel.
Delivers evidence-backed RCAs.
No fishbone diagrams. No 5 Whys workshops. Just answers.
The Problem with Manual RCA
Root cause analysis is critical. But most RCA software is built for post-incident documentation, not real-time diagnosis.
Your team spends hours in war rooms, manually searching logs, checking dashboards, and piecing together what changed. By the time you’ve documented the fishbone diagram, the incident is over and engineers are exhausted.
The Gap: Your observability tools are great at alerting, but not at helping you figure out what actually happened.
How RunLLM Automates Root Cause Analysis
Automatic Investigation
When an alert fires, RunLLM immediately begins investigating. It pulls data from your observability stack, checks recent deployments, and correlates signals across your entire system.
Grounded Hypotheses
RunLLM doesn’t guess. It ranks potential root causes by confidence level and shows you the evidence chain—specific log lines, metric anomalies, and deployment changes that support each hypothesis.
Actionable Next Steps
Get recommended remediation steps with clear guardrails, including rollback suggestions, scaling operations, and configuration changes—all with the context you need to act.
Knowledge Capture
Every investigation builds your organization’s knowledge base. Past incidents inform future investigations, so your RCA process continues to build context and get smarter over time.
Automated RCA Benefits
Built for How SRE Actually Works
Live in Days, Not Months
Connect to your observability stack and start investigating in days. Nothing to install. No professional services required.
No Perfect Runbooks Required
Works whether you have runbooks or not. RunLLM investigates autonomously, then learns from what it discovers.
Glass-Box, Not Black-Box
RunLLM works transparently. Every hypothesis comes with citations to underlying data so you can "trust but verify."
RunLLM connects to your existing stack
Observability:
Logging:
Deployments:
Communication:
Common Questions
What You Might Be Wondering
How is this different from traditional RCA software?
Traditional RCA tools like Causelink or TapRoot help you document root causes after incidents using structured methodologies. RunLLM finds root causes automaticallyduring incidents by investigating your systems in real-time.
Do we still need to do postmortems?
Yes, but they’re faster. RunLLM automatically captures the incident timeline, evidence, and root cause - so your postmortem starts with the facts already documented.
What if RunLLM’s analysis is wrong?
Every hypothesis comes with confidence levels and supporting evidence. You review and verify before taking action. RunLLM shows its work so you can spot gaps or redirect the investigation.
Ready to Automate Root Cause Analysis?
Stop spending hours in war rooms. Get root cause in minutes.