Root cause: DB connection pool exhausted
Fix: Increase pool size (10 → 30)
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ProdRescueIncident workspace
SaaS for production teams
Stop guessing.Find the root cause.
One workspace for on-call: paste logs or Slack, get a structured, evidence-backed RCA your team can ship.
Time to first draft
Minutes
Evidence
Log-linked
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prodrescue — incident
$ paste logs
$ output
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Integrations
Plugs into the stack you already run
The problem
Debugging incidents is messy
Logs are noisyErrors are unclearEveryone guesses
ProdRescue shows you exactly what broke—with citations to your logs.
Sample
Demo output
Product
Everything in one workspace
Same flow your team uses in production—structured output, not a scattered thread.
Find the root cause
Pinpoint what broke from raw logs in seconds.
Understand logs instantly
Turn noisy traces into a clear failure story.
Get fix suggestions
Receive next actions you can ship right away.
Why not generic AI
Built for production reliability
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.
01Pillar
Evidence over guesses
Every conclusion maps back to real log lines.
Proof
Claim + source line references in one report.
02Pillar
Workflow, not chat noise
Output is structured for incident response and handoff.
Proof
Timeline + RCA + action items in board-ready format.
03Pillar
Context filter for noisy logs
ProdRescue pre-filters signal before deep analysis.
Proof
Error/warn + correlation context, not 5k-line dump.
04Pillar
Multi-stack incident context
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.
JiraConfluenceNotion
Context filter + multi-stack example
Input stream
5,000 raw lines + Slack thread + deploy metadata
ProdRescue output
Relevant error chain, correlated IDs, and cross-team narrative with evidence links.
Example: Frontend reports latency, but correlated backend logs show DB connection timeout after a recent service deploy. ProdRescue links the timeline, evidence lines, and likely fault boundary in one RCA.
Contact
Talk to us about your incident workflow
Share your use case, integration needs, or rollout questions. We will reply with a practical setup path.