architect-diagnose-errors

Diagnose rising 5xx error rates by clustering failure signatures from Cloudflare and PostHog evidence. The analysis correlates the onset of the incident window with recent commits or config changes to identify the likely root-cause cluster.

Correlate exception spikes with recent deploys by applying time-bounded regression correlation to your incident window. The process links the start of error activity directly to recent commits or configuration changes to narrow regression scope.

Group related production failures into root-cause clusters by analyzing error signature trends from Cloudflare and PostHog. This clustering turns raw signals into actionable evidence, identifying which failure signatures share a common underlying cause.

Yes, you can find the likely owner or code path during incident triage. The process outputs evidence links and next-best actions, recommending the smallest safe fix with an explicit confidence level to reduce time to restore reliability.

You need Cloudflare and PostHog data to perform incident triage effectively. The analysis relies on raw signals from both platforms to quantify the incident window, cluster failure signatures, and determine likely root-cause clusters.

Use exception clustering instead of raw error logs to quickly manage high-volume spikes. Clustering groups related failures based on observed signatures, cutting through noise to pinpoint the specific regression correlation and propose the smallest safe fix.