Step 1
Denoise
Strip noise, redundancy, and PII from raw log streams — keep only the lines that matter.
Incident RCA
When something breaks, ProdRescue reconstructs the story from your logs and war-room context. Every strong claim maps to [1][6][8] — real log lines, not vibes. The Honest Score tells you exactly how log-backed the narrative is.
34.7%
Error spike
~$67K
Revenue at risk
18 min
Time to fix
95%
Honest Score
A real customer incident snapshot. 4 hours to explain manually → ~2 minutes with ProdRescue (and a PR on Team with GitHub).
How the RCA is built
Step 1
Strip noise, redundancy, and PII from raw log streams — keep only the lines that matter.
Step 2
Order events across services into a single chronological story with severity, owner, and impact.
Step 3
Every claim in the RCA is tied back to a specific log line — no guesses, no AI vibes.
Step 4
If we couldn't match enough evidence, we tell you — and cap the confidence visibly.
What you get
Honest Score
Generic AI assistants self-rate at 95% regardless of evidence. ProdRescue's Honest Score reflects how many claims actually mapped to your real log lines. Thin logs → lower score, capped confidence, and a visible "manual review recommended".
Generic AI
95%
Self-reported. No log backing.
ProdRescue
60–100%
Claims mapped → real lines.
Run /incident in any channel, mention the bot, or paste a permalink. RCA appears in the same thread.
Paste Datadog, Sentry, or CloudWatch logs into the web app. Tweak source, scope, and context — perfect for postmortems after the fact.
Open the workspaceEvidence references in incident reports point at log lines only — deploy analysis is a separate surface (see Deploy intelligence).
Free includes one full evidence-cited report. Same depth as Pro.