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Credit goes to www.nofire.ai

Change is inevitable.The incident it causes is not.

NOFire connects every change to impact. Before production breaks and after. The same incident never happens twice.

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How NOFire works

Every change tracked. Every consequence mapped. Every incident remembered.

01
Every change tracked
02
Production context graph
03
Incidents prevented
Signals
GitHub
GitHub
Kubernetes
Kubernetes
AWS
AWS
Prometheus
Prometheus
Grafana
Grafana
Loki
Loki
Elastic
Elastic
PagerDuty
PagerDuty
Slack
Slack
Jira
Jira
Confluence
Confluence
20+
NOFire
Changes streaming in — every change will be connected to its impact
0:00

From change to control

Prevention, resolution, and learning connected in one system.

System Understanding

Production Context Graph

Continuously connects structure, behavior, and business signals to reason over reality, not fragments.

Prevention

See what this change will break.

Maps blast radius, historical incidents, and runtime dependencies to predict production impact.

Resolution

Know what broke with high accuracy.

Tests multiple hypotheses in parallel. Validates each with real evidence from your infra, code, telemetry, and change history.

Learning

Reliability Memory

Every incident, near-miss, and resolved alert feeds back into the graph. NOFire learns which change patterns are risky, which services are fragile, which fixes actually held. The longer your team runs it, the more your specific production behaviour is encoded. That knowledge does not exist anywhere else.

Never fight the same incident twice

Prevent failures

Before changes reach production

Surface downstream impact and flag risky changes before they reach production.

Resolve incidents

When things break

Connect symptoms to the exact changes that caused them. Root cause in minutes, not hours.

Learn continuously

After every interaction

Every incident strengthens future deploy decisions. Systems learn instead of repeating failures.

Built for production.
Trusted by security teams.

Read-only access

NOFire observes system behavior without modifying infrastructure or data.

No write operations

NOFire never modifies your infrastructure or applications.

Data isolation guarantee

Your organization's data remains completely isolated from other customers

No model training on your data

Your data is never used to train models.

BYOC deployment

Deploy in your own cloud. Your data never leaves your environment

Data retention

Set custom retention policies and automated data purging schedules

Common questions

NOFire builds a Production Context Graph—a time-versioned, causal model of how your services, dependencies, and changes actually connect—and uses that understanding to prevent incidents before deploy and find root cause when things break. We are building the control layer for AI in production: policy-evaluated execution, isolated environments, and enforced network boundaries — so that as AI agents participate in operational workflows, every action is constrained, auditable, and safe. Works with Prometheus, Grafana, Loki, Tempo, Elasticsearch, Kubernetes, GitHub, AWS. See all integrations.

See what it looks like in your stack.

Connect your stack and see how every change connects to production impact. Free tier available, no credit card required.

See pricing plans