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Context

Repocheckout-apiBranchv2.15.0Deploy#ed.Incident#mongodb-P2Resolved

Incident verdict

Failure chain detected from production logs and cited evidence lines.

Generated from real production signals. Logs, Slack context, and monitoring traces are correlated before RCA and fix guidance.

ProdRescue AIIncident Report
01 / 09

MongoDB Replication Lag Incident — Incident Report

May 2, 2026 · Prepared for: [Your Organization]

Severity

P2

Service outage

1h 15min

Peak error rate

Users impacted

Finance ops + internal dashboards

Status

Resolved

ConfidentialMay 2, 2026
ProdRescue AIIncident Report
02 / 09

Executive Summary

On November 6, 2025, MongoDB replica set rs-prod showed secondary replication lag peaking at 740 seconds. Applications using readPreference secondaryPreferred read stale pricing documents, causing inconsistent quotes. Root cause: foreground index build on pricing.skus (collection scan ~420M docs) monopolized primary I/O and oplog entries replicated slower than primary insert rate during rebuild.

Confidential02 / 09
ProdRescue AIIncident Report
03 / 09

Timeline

  • 15:02 UTC — Alert: replication lag > 120s on secondary mongo-sec-b
  • 15:08 UTC — Identify ongoing index build idx_sku_hash deployed by DBA job
  • 15:15 UTC — Stop incorrect foreground build; reschedule as rolling background build per shard
  • 15:40 UTC — Lag trending down; readPreference temporarily forced primary for pricing service
  • 16:17 UTC — Lag < 10s sustained; incident resolved
Confidential03 / 09
ProdRescue AIIncident Report
04 / 09

Root Cause Analysis

Primary: Index build mode incompatible with replica load — foreground build + heavy write load → oplog apply bottleneck.

Contributing: No maxTimeMS guard on analytics queries competing for IOPS.

Confidential04 / 09
ProdRescue AIIncident Report
05 / 09

Impact

P2, MTTR 1h 15m, financial data staleness risk mitigated by forcing primary reads.

Confidential05 / 09
ProdRescue AIIncident Report
06 / 09

5 Whys Analysis

  1. Why stale reads? → Secondary lag high.
  2. Why lag? → Oplog apply slower than primary ops.
  3. Why? → Large index build + writes competing.
  4. Why foreground? → Job defaulted to legacy script without rolling procedure.
  5. ROOT CAUSE: Index change management lacked mandatory rolling build playbook review.
Confidential06 / 09
ProdRescue AIIncident Report
07 / 09

Prevention Checklist

  • Rolling index builds only; chunk + background priority
  • Alert replication lag > 30s page Tier-2
  • Critical reads use readConcern majority / primary during migrations
Confidential07 / 09
ProdRescue AIIncident Report
08 / 09

Evidence & Log Samples

{"t":{"$date":"2025-11-06T15:03:01Z"},"s":"I","c":"REPL","id":601252,"ctx":"replwriter","msg":"applied op delay","attr":{"delaySecs":612}}
2025-11-06T15:04:22.011Z W STORAGE Creating index idx_sku_hash - foreground build may block writes on large collections
Confidential08 / 09
ProdRescue AIIncident Report
09 / 09

Lessons Learned

Treat index builds as cross-region replication events, not local DDL.

Confidential09 / 09

How this report maps to the real product workflow

This page is a real-format example so teams can evaluate the full flow before login: input signals, evidence-backed RCA, Ask ProdRescue follow-up, and optional GitHub actions by plan.

1) Inputs & context

All plans can paste logs directly. With Slack connected (Pro / Team), pull threads or channels from war rooms and keep that context in one evidence-backed report.

2) Evidence-backed RCA

Timeline, root cause, impact, and action items are generated with citations tied to real log lines (e.g. [1], [6], [8]) so teams can verify every claim.

3) Ask ProdRescue

On report pages, users can ask follow-up questions like "why this happened", "show the evidence", or "suggest a fix" and get incident-context answers grounded in report data.

4) GitHub actions (plan-aware)

Team: connect repo, import commits, run manual deploy analysis, add webhook automation, and submit suggested fixes for review on GitHub (no auto-merge).

Free/PAYG/Pro: incident clarityTeam: automation + suggested fixes

Ask ProdRescue

Get answers. Find the fix.

Incident-aware
What is the root cause?What changed before the incident?What evidence supports this?Suggest a fixWhat should we do next?

Suggested Fix (preview)

- payment.Amount
+ if payment == nil {
+   return ErrInvalidPayment
+ }
+ amount := payment.Amount

Change preview

fix(incident-mongodb-): apply suggested remediation

Team plan can publish the change for review on GitHub. No auto-merge.

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