AI-Powered Root Cause Analysis
Detect incidents automatically, investigate autonomously, and pinpoint the exact root cause in minutes.
Root cause in under 5 minutes with review-ready fix PRs.
Free trial - No credit card required - Deploy in under 1 minute
The Problem
Incident response still starts too late
Teams often learn about failures after user impact, then spend too long isolating signal from noise.
Net effect
High MTTR
Time to resolution
00h 38m
Sustained incident pressure on engineering teams slows investigation, recovery, and follow-through.
Late detection
Critical issues are often discovered by users first
Many teams do not have alerting that catches every production issue, so customer reports become the first signal.
Slow setup cycle
Good alerting takes multiple incidents to mature
Reliable alerts are not instant. They are tuned over time, after pages, misses, and repeated postmortems.
Investigation overload
Every anomaly still requires manual triage
Most anomalies are not severe, but engineers still spend time investigating each one to find the real problems.
The Solution
Cut MTTR with autonomous investigation
Always-on issue detection, autonomous root cause analysis, and fix-ready remediation in minutes.
How it works
Root cause quality depends on context quality.
Metoro combines layered runtime and engineering context so investigation quality improves from signal to signal, not guess to guess.
What Teams Think of Metoro
“Metoro absolutely slaps, so good <3”
Alex G.
CTO, FernLabs
“Metoro has made visibility into our kubernetes environment effortless with on-demand event analysis and AI driven root-cause investigations. Nothing is hidden anymore.”
Davis V.
Senior Software Engineer, InfoTrax
“We used to spend an hour digging through dashboards when something broke. Now Metoro figures it out in minutes — our on-call engineers love it.”
Aral Y.
VP of Engineering, FreedX
Stop losing hours to manual incident debugging
Deploy in 1 minute. Get autonomous investigation and root cause analysis in under 5.
SUPPORT
Frequently Asked Questions
Everything you need to know about the product and billing. Can't find the answer you're looking for? Ask us on our Slack Community.
What is AI root cause analysis?
AI root cause analysis uses artificial intelligence to automatically investigate production incidents and identify the underlying cause. Instead of manually sifting through logs, metrics, and traces, an AI system correlates signals across your entire stack, follows dependency chains, and pinpoints the exact source of the problem - often in minutes rather than hours.
How does Metoro's AI RCA work?
Metoro's AI RCA works by first collecting comprehensive telemetry data using eBPF kernel hooks - capturing 100% of requests, errors, and events with no sampling. When an incident occurs, the AI correlates signals across metrics, logs, traces, and events, follows service dependencies, analyzes recent code changes, and identifies the root cause with supporting evidence.
How is this different from traditional RCA tools?
Traditional RCA tools require you to manually query logs, check dashboards, and piece together the story. Metoro's AI RCA automates this entire process - it investigates autonomously, correlates signals you might miss, and presents findings in plain English. Plus, with code repository integration, it can trace issues to the exact lines of code that caused them.
Do I need to configure alerts for AI RCA to work?
No. Metoro's AI detects issues autonomously without any alert configuration. It learns normal behavior patterns and identifies anomalies automatically. You can also connect existing alerts - when they fire, the AI will investigate and provide root cause analysis. But zero configuration is required out of the box.
How long does root cause analysis take?
Metoro's AI typically completes root cause analysis in under 5 minutes. Compare this to the industry average of 30+ minutes for manual investigation. The AI works continuously and can investigate multiple incidents in parallel, ensuring no issue goes uninvestigated.
Can the AI fix issues automatically?
Metoro's AI can generate code fixes and raise pull requests for your team to review. However, it operates on a permission-based model - nothing is deployed without your explicit approval. You maintain full control over what changes reach production.
What data does Metoro need for AI RCA?
Metoro generates its own telemetry using eBPF kernel hooks, so it doesn't rely on third-party observability data that may be sampled or incomplete. For code-level analysis, you can optionally connect your GitHub repositories. All data stays within your security boundary with BYOC and on-prem deployment options.