Kubernetes Crash Loop — Incident Report
April 11, 2026 · Prepared for: [Your Organization]
Severity
P1
Service outage
18 min
Peak error rate
92%
Users impacted
~8,000
Revenue impact
Checkout abandonment
Status
Resolved
Context
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.
April 11, 2026 · Prepared for: [Your Organization]
Severity
P1
Service outage
18 min
Peak error rate
92%
Users impacted
~8,000
Revenue impact
Checkout abandonment
Status
Resolved
On February 7, 2024, the checkout-api service entered a crash loop shortly after deploying v2.15.0. Pods repeatedly crashed with panic: nil pointer dereference in PaymentService.Process(). The incident lasted 18 minutes and affected approximately 8,000 users attempting checkout. Root cause was a missing nil check in the new payment flow code. Rollback to v2.14.3 restored service within 6 minutes of the decision.
The primary root cause was a nil pointer dereference in PaymentService.Process() introduced in checkout-api v2.15.0. The new code path did not validate that the Stripe client was initialized before use when Redis session cache was unavailable. Under the cascade (Redis failover + Stripe latency), the code hit the unvalidated path and panicked.
A contributing factor was the Redis cluster failure, which increased auth-service load and caused 94% cache miss rate. This shifted load to the database and created additional latency that exposed the nil pointer path more frequently.
| Priority | Action | Owner | Due Date | Status |
|---|---|---|---|---|
| [ ] P1 | Add nil pointer validation to all error paths in PaymentService | @bob_dev | 2024-02-09 | In Progress |
| [ ] P1 | Add unit tests for Stripe API timeout scenarios in checkout-api | @bob_dev | 2024-02-09 | Open |
| [ ] P1 | Implement mandatory canary deployment phase for checkout-api | @alice_sre | 2024-02-14 | Open |
| [ ] P2 | Increase Redis cluster redundancy (6 → 9 nodes with 3 AZ spread) | @charli_e_db | 2024-02-21 | Open |
| [ ] P2 | Add automated rollback trigger on panic rate threshold (>5%) | @alice_sre | 2024-02-21 | Open |
| [ ] P3 | Add integration test suite for external API failure modes | @bob_dev | 2024-02-28 | Open |
Detection (09:00:00–09:00:02 UTC): The incident was detected within 2 seconds when the first checkout-api pod panicked. PagerDuty INC-8842 was auto-created via our Slack integration. Mean Time to Detect (MTTD): 2 seconds.
Response (09:00:02–09:00:35 UTC): On-call engineer @alice_sre acknowledged within 3 seconds. War room identified Stripe timeouts and Redis cluster failure as contributing factors. Decision to rollback was made 30 seconds after confirming the crash loop. Rollback initiated at 09:00:35.
Resolution (09:00:35–09:01:15 UTC): Rollback to v2.14.3 completed. Redis failover finished at 09:00:48. First successful checkout at 09:00:59. All pods healthy by 09:01:15. Mean Time to Resolve (MTTR): 59 seconds.
2024-02-07T09:00:00.123Z [FATAL] checkout-api-pod-7x9m2 panic: runtime error: invalid memory address or nil pointer dereference
goroutine 42 [running]: github.com/shop/checkout.(*PaymentService).Process(...)
{"ts":1707318005,"level":"error","msg":"Stripe API timeout","service":"payment-gateway","duration_ms":30000,"error":"context deadline exceeded"}
Feb 07, 2024 09:00:07 UTC [ERROR] auth-service Redis cluster: MOVED 15389 - connection to node failed after 3 attempts. Falling back to DB, cache miss rate: 94%
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. Pro and Team can pull Slack threads/channels and keep war-room context in one 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)
Pro: connect repo, import commits, run manual deploy analysis. Team: add webhook automation and open PR from suggested fix (review required, no auto-merge).
Get answers. Find the fix.
Suggested Fix (preview)
- payment.Amount
+ if payment == nil {
+ return ErrInvalidPayment
+ }
+ amount := payment.AmountPR Preview
fix(incident-kubernet): apply suggested remediation
Team plan can open the PR for review. No auto-merge.
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