Find the change that broke it
From the symptom to the exact deploy, config, or code change. What it hit, who owns it, and the proof. And every incident makes the next one faster.
Find the change that broke production.
NOFire maps every change in your production, by human or agent, and hands you the one that broke it, with the proof.
Connect read-only. See your map in five minutes.
A change+one live map=the proof
89% root-cause accuracy · a public benchmark you can rerun
Works with
- + your stack
Trusted by
Start here
Your first five minutes.
Connect, and the map starts building. By minute five, you can see what's fragile.
1
Connect your Kubernetes cluster
It's read-only, and one connection takes five minutes.
2
Your map builds itself
Every service, owner, and dependency, from what actually runs, dated and sourced. No YAML, nothing to maintain.
3
Ask it anything
Understand a service you didn't build. Check what a change will touch. And when something breaks, NOFire hands you the change that caused it, with the evidence linked.
What you get
Every claim is a link.
Every engineer answers like your best engineer
Ask in plain English, get the answer with sources. The knowledge stops living in one person's head.
Review the change, not the diff
Agents write the pull requests now. Related ones are grouped into a change, read against the map, and what could not be checked says so.
Benchmark
89% root-cause accuracy.
On a public benchmark, failures included.
89%
Top-1 root cause
The correct cause ranked first across the benchmark's injected faults.
2.1×
Versus academic state of the art
Against the best published result on the same benchmark.
Open
Rerun it yourself
RCAEval, a public fault-injection benchmark from ACM Web Conference 2025.
Customers
From the teams on call.
What changed once the map was underneath their incidents.
FAQ
Frequently asked questions.
Why not just Datadog or our observability stack?
They collect signals. We model causality, by reading deeply across observability, CI/CD, and identity.
We built our own tooling.
Keep it. NOFire plugs the map and the evidence underneath what you built.
Is my data safe?
Read-only access. Your telemetry stays where it lives. EU data residency available.
Does this replace our engineers?
No. It makes the whole team answer like your most senior engineer.
What does it cost?
One predictable price based on the size of your production. Not per seat, not per incident.
Integrations
Your stack, in depth.
Built to work with what you've already built.
Infrastructure
Services and dependencies from the cluster. Cloud inventory from AWS, GCP, and Azure. Zones and DNS from Cloudflare.
Observability
Metrics, logs, and traces as evidence in your own tools, from Grafana and Prometheus to Datadog, Dynatrace, New Relic, and Splunk.
Code
Commits, pull requests, and deploys from GitHub, GitLab, and Bitbucket, on demand in an investigation.
Messaging
Slack for the thread that starts the investigation.
Knowledge
Tickets, runbooks, and incident docs from Atlassian and Linear.
In your tools
The agent is not the witness.
Claude, Cursor, or the terminal. They read the map. The source stays on the line.
Your IDE and coding agents
Ask why orders-api failed, against the same map the on-call already has.
Local tools
kubectl, aws, and git stay on your machine, read-only. No credentials stored.
CLI and terminal
The same investigation, in the shell you already have open.
Read-only access.
Your telemetry stays where it lives. EU data residency.
Ready to see what's actually running?
Connect your Kubernetes cluster and see the map of your production in five minutes.