Production decisions
Prevent risky code changes, resolve incidents, and make the right call in production using real system behavior over time.
Used in production by teams shipping every day
Engineering teams trust NOFire to prevent failures and resolve incidents faster
“We spent hours jumping between dashboards, piecing together what happened. NOFire AI shows the entire failure chain instantly—root cause to every affected service. On-call engineers now make decisions confidently without escalating to senior SREs.”
How NOFire works
One system that connects changes, services, behavior,
and outcomes across time.
Ingests from your existing stack. No rip & replace.
Turns existing signals into decision-grade answers
No rip & replace.
See prevention in action
Every production failure starts as a change. NOFire shows the impact of that change before it ships.
Know what's at risk before code ships
Surfaces real production risk before it ships.
Build orders-serviceis it safe to deploy my changes?
Deployment Impact Analysis
Based on my comprehensive analysis of your production environment and local changes, here's what could affect your deployment:
CAUTION: Active Incident Detected
What this change will break
See downstream impact before code ships.
Refactor authentication middleware and add rate limiting
🔍 Deployment Risk Assessment
Risk Score: 5/10 (MEDIUM)
This authentication change affects the orders-service middleware:
Change Analysis
- No similar auth changes caused incidents in past 90 days
- Rate limiting affects all authenticated endpoints
- High-frequency clients (frontend-dashboard: 840 auth/day)
Affected Services
- checkout-service - Uses this auth flow
- frontend-dashboard - 840 authentications/day
- payment-service - Validates tokens from this middleware
Readiness & Testing
- Rate limit thresholds tested with production traffic patterns
- Auth latency metrics tracked (p50, p95, p99)
Risk Level: MEDIUM
Auth changes affect all services. Rate limiting could block legitimate high-frequency requests if thresholds are misconfigured.
Recommendation: Deploy with gradual rollout (10% → 50% → 100%). Monitor auth success rates and rate limit rejections closely during rollout.
Know the root cause in minutes
Connects symptoms to changes and explains the failure chain automatically.
Reliability stops being reactive
Prevent failures
Before code ships
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 incident
Every incident strengthens future deploy decisions. Systems learn instead of repeating failures.
Built for production.
Trusted by security teams.
Read-only access
We analyze observability metadata without accessing sensitive production data
Zero write operations
NOFire AI never modifies or writes to your infrastructure or applications
Data isolation guarantee
Your organization's data remains completely isolated from other customers
No model training
We never use your data to train models or train new capabilities
VPC PrivateLink support
Secure private connectivity without exposing data to the public internet
Data retention
Set custom retention policies and automated data purging schedules