Find bad changes before your customers do.
Firetiger connects PRs, deploys, telemetry, and incidents so teams can detect regressions, identify the responsible change, and restore faster. One monitoring plan per PR, one verdict per deploy, evidence routed to the people who can act.
Why generic monitoring misses bad deploys
Static dashboards aggregate across endpoints, segments, regions, and flag arms. A regression concentrated in one slice — one endpoint affecting one customer tier, or one cohort behind a feature flag — rarely moves the global error rate enough to fire an alert. Most real production regressions are this shape: partial, segment-bound, and invisible to threshold-based monitoring.
Firetiger watches at the granularity where regressions actually happen, compared against the pre-deploy baseline for the same slice — not against a static threshold. That is what makes change-aware verification structurally different from observability dashboards.
For concrete examples, see Examples of bad deploys static monitoring misses.
What this looks like in practice
Per-PR monitoring plan
Firetiger reads each PR's diff and generates a monitoring plan specific to what changed. Static dashboards stay static; the verification adapts to every PR.
Per-deploy verdict, posted on the PR
For each deploy, Firetiger watches the rollout and posts one of three outcomes back to the PR: verified, regression detected, or inconclusive. Engineers see the result in the place they already work.
Regression evidence, ready to act on
When a regression is detected, the verdict names the affected scope (endpoint, segment, region, flag arm), suspected code path, owner, and supporting telemetry — enough to fix or roll back without rebuilding context.
Routes to incident, Slack, or coding agents
Verdicts flow into the surfaces that already coordinate response: PagerDuty, incident.io, Slack, or directly to a coding agent for an automated fix.
Layers on top of the tools you already use
Firetiger does not replace observability, error tracking, incident management, or feature flags. It consumes telemetry from those systems and produces a verdict per change. Datadog still describes production state. PagerDuty still routes the response. LaunchDarkly still limits blast radius. Firetiger fills the gap between them.
Want the deep dive?
The educational reading sequence behind this approach lives in the Learning Center: Find Bad Deploys Faster — reading sequence.