Metoro investigates alerts as they arrive, correlates context across your stack, and identifies likely root cause before on-call has to start from scratch.
Free trial available. Deploy quickly on Kubernetes.
Responders repeatedly identify impact, search for runbooks, jump across observability tools, and still end up in dead ends before repeating the same cycle.
This process is expensive, stressful, and mostly manual.
Most alerts are noisy threshold checks with limited context, so responders still have to reconstruct ownership, impact, and likely cause by hand.
Teams repeatedly tune thresholds, windows, exclusions, and severity to reduce noise without missing incidents. This loop never really ends.
Manual investigation increases MTTR and pulls senior engineers into repetitive detective work rather than remediation.
Operational toil scales with system complexity and alert volume.
Metoro investigates every alert as it comes in, follows your runbooks, learns from past incidents and Slack context. It automatically root causes alerts, suggests improved rules for sensitive alerts, and can prepare remediation PRs.
Metoro's AI correlates telemetry, deployment history, code context, and kubernetes metadata to find probable root cause in 5 minutes or less .
Move from investigation to recovery faster with auto-generated patch proposals and review-ready PRs.
The agent executes runbook flow. Can find the related issues/actions from the Slack context and incident memory.
The agent identifies noisy alerts and recommends threshold updates based on real traffic patterns.
As services and traffic patterns change, the agent recommends alert additions, removals, and threshold updates.
"It found exactly what I was looking for in the logs. Amazing."
Semih D. - Head of Systems - Koton
"Metoro made it incredibly simple for us to not just observe and trace logs, but also to dive into AI-driven investigations effortlessly—turning complex Kubernetes monitoring into a smooth, intuitive experience."
Brad S. - Systems Engineer - InfoTrax
"We used to spend an hour digging through logs and dashboards when something broke. Now Metoro figures it out in minutes, and our on-call engineers can focus on fixing the issue instead of chasing context."
Ege K. - Cofounder - DocioHealth
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See how Metoro investigates alerts automatically and reduces manual on-call investigation load.
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Frequently Asked Questions About AI Alert Investigation
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.
Metoro automatically investigates alerts by gathering metrics, logs, traces, Kubernetes events, deploy history, and incident memory, then surfaces likely root cause and recommended next actions.
No. It works with your existing alerts and adds automated investigation context. It can also suggest better thresholds and identify stale or missing alerts as your services evolve.
Yes. Metoro can execute investigation flow based on your runbooks and enrich that process with historical incident context and team communication patterns.
Instead of responders manually switching across tools and reconstructing context, Metoro presents a pre-investigated incident package with likely cause and remediation options.
Yes. For issues with a clear remediation path, Metoro can prepare fix PRs or action plans for review, so your team can move from detection to remediation faster.
