AWS Lambda Timeout Cascade — Serverless Incident — Incident Report
May 2, 2026 · Prepared for: [Your Organization]
Severity
P1
Service outage
55 min
Peak error rate
timeout 34%
Users impacted
~18K validations queued
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.
May 2, 2026 · Prepared for: [Your Organization]
Severity
P1
Service outage
55 min
Peak error rate
timeout 34%
Users impacted
~18K validations queued
Status
Resolved
On December 1, 2025, the order-validation Lambda (512 MB, 30s timeout) exceeded duration under burst traffic. Functions inside a VPC incurred ENI cold start latency (~6–9s) combined with a cold full table scan against DynamoDB in handler init path. Partial failures caused SQS visibility timeouts → cumulative backlog 340k messages. Mitigations: enabled provisioned concurrency (50), removed VPC where only DynamoDB/VPC endpoints unnecessary (later iteration), replaced scan with query + GSI. MTTR 55 min.
Primary: VPC-attached Lambda cold path + expensive Dynamo operation during first invocation per sandbox.
Contributing: No reserved concurrency; partial deploy doubled concurrent cold starts.
REPORT RequestId: a1b2c3d4 Duration: 30000.00 ms Billed Duration: 30000 ms Status: timeout
Init Duration: 8234.56 ms Phase: init — VPC ENI attached
Cold starts are incident triggers — budget ENI + init in serverless SLOs.
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
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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).
Get answers. Find the fix.
Suggested Fix (preview)
- payment.Amount
+ if payment == nil {
+ return ErrInvalidPayment
+ }
+ amount := payment.AmountChange preview
fix(incident-aws-lamb): apply suggested remediation
Team plan can publish the change for review on GitHub. No auto-merge.
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