Without ProdRescue
- 2+ hours log digging
- Slack back-and-forth
- Guess-based RCA
Paste logs, drop a Slack thread, or run /incident where you already work. Every RCA claim cites the exact line that proves it—not generic AI filler.
Time to root cause
0s
Typical focused run
Confidence on last run
0%
Cited to log lines
Where it lives
Slack-first
/incident in your channel
Not on Slack yet? Open the workspace and paste logs—one full analysis included free.
incidents
war-room · 12 members · production
Maya Lopez11:14
checkout-api alerts firing 🚨 — anyone else seeing 5xx?
Kai Park11:14
yep, PSQLException pool exhausted — started ~17:31. tied to the v2.15.0 deploy?
Live preview — same flow runs in your channel after /incident.
If an engineer hour costs ~$50, one 2-hour incident is ~$100+ in debugging time. A $5 run is usually cheaper than one incident hour.
After your free run: use $5 pay-per-run for the next deep dive, or Pro when you want unlimited analyses and /incident in Slack.
Integrations · models · clouds
The problem
ProdRescue shows what broke—with line-level citations, not vibes.
Evidence mapping
Not just “the AI said so.” Every sentence in a ProdRescue RCA carries a numbered citation back to the exact log line that proves it — clickable, auditable, and printable in the PDF.
Generated RCA — claims
Tap a claim to jump to its source. In your real report, every citation is a clickable link to the exact log line.
checkout-api · productionsource.log
Same rule for Slack
When you run /incident in Slack or paste a thread, ProdRescue treats human chatter, pager events, and bot messages as evidence — each RCA claim points back at the exact message in your war room.
RCA from Slack — claims
Tap a claim to jump to its Slack source. In a real RCA, every citation is a clickable link to the exact message in the war-room thread.
#incident-checkout8 msgs
Triggered: checkout-api 5xx spike · severity P1 · routing to #incident-checkout
Seeing PSQLException: pool exhausted (active=10/10) — that 17:25 deploy from alex ?
Release v2.15.0 shipped 17:25 · pool_size: 30 → 10 (config drift)
Redis cache_miss_rate climbed to 0.94 — cart traffic is fanning straight back to the saturated DB.
Window 60s · 5xx_rate=0.73 · requests=4218 · service=checkout-api
Rolling back to v2.14.3 now. oncall-platform standing by.
Rollback complete · v2.14.3 live · reason=db_pool_exhaustion
Pool back to active=12/30 · 5xx_rate=0.04 · I think we're recovering. ✅
Sample
Root cause: DB connection pool exhausted
Fix: Increase pool size (10 → 30)
Product
Structured output for production—not another noisy chat thread.
Pinpoint what broke from raw logs in seconds.
Turn noisy traces into a clear failure story.
Receive next actions you can ship right away.
Why not generic AI
Stop cowboy troubleshooting. Run structured incident response.
ProdRescue is designed for incident workflows, not generic chat. It verifies claims with evidence, filters noisy logs, and connects cross-stack signals into a clear root-cause path.
Every conclusion maps back to real log lines.
Proof
Claim + source line references in one report.
Output is structured for incident response and handoff.
Proof
Timeline + RCA + action items in board-ready format.
ProdRescue pre-filters signal before deep analysis.
Proof
Error/warn + correlation context, not 5k-line dump.
Logs, Slack context, and deploy signals are reconciled.
Proof
Cross-team symptom + root-cause chain in one narrative.
Board-ready exports
Copy your RCA and paste directly into your incident ticket workflow.
Context filter · multi-stack
Input stream
5,000 raw lines + Slack thread + deploy metadata
ProdRescue output
Relevant error chain, correlated IDs, cross-team narrative with evidence links.
Example: Frontend reports latency, but correlated backend logs show DB connection timeout after a recent deploy. ProdRescue links the timeline, evidence lines, and fault boundary in one RCA.
Pricing
Default path: start free in the workspace, then add $5 runs when incidents are occasional—or Pro when your team lives in Slack and runs RCAs often.
Transparent usage · No surprise seat fees · Upgrade or downgrade anytime
Pick in one glance
/incident in-channel? That's Pro ($29/mo after trial)—unlimited analyses, no per-run meter.Free
$0
1 analysis included
Pay-per-use
$5/ run
Occasional incidents—pay only when you need depth
Flat price · no seat math
Pro
$29/ mo
Unlimited analyses + in-channel /incident
Contact
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