NOFire AI

As described on AWS Marketplace.

NOFire connects code changes, deployments, system behavior, and past incidents into a clear understanding of what changed, what broke, and why. Instead of rebuilding context during every incident, teams get answers grounded in real system history.

Built by the teams behind Elastic and Mattermost Cloud, NOFire is used by global engineering organizations to achieve up to 40% fewer incidents, cut MTTR by up to 5x, eliminate repeated failures, and build a scalable reliability function where knowledge compounds instead of disappearing.

Highlighted by the publisher on AWS Marketplace.

Before code reaches production, NOFire looks at how similar changes behaved in the past to identify risky deployments and affected services. During rollouts, it separates meaningful signals from harmless noise and provides clear guidance, helping engineering teams ship changes more safely and predictably.

NOFire continuously connects signals from metrics, logs, traces, deployments, and cloud changes to explain real cause and effect across your system. When something goes wrong, teams immediately see what broke, why it broke, and what changed reducing MTTR from hours to minutes without relying on senior intuition.

Every investigation feeds a shared reliability memory that captures causes, impacts, and fixes. Over time, teams avoid repeating the same failures, onboard faster, and build a more predictable reliability posture because learning carries forward instead of resetting after each incident.

As stated by the publisher on AWS Marketplace.

All fees are non-cancellable and non-refundable except as required by law.