INC17838771524651

P2resolvedai_assisted

search-api request queue depth climbing under traffic spike

Pipeline Status

Context Assembly

Diagnose Agent

Severity / Routing Agent

Scenario Match

Remediate Agent

Confidence Gate

Gate Decisionauto executed

Execute Action

Verify Agent

Resolution

Assembled Context — bounded to last 30 minutes

Rolling logs

[search-api] INFO requests/sec 4200 (baseline 1100)

[search-api] WARN queue depth 3800, p99 latency 2100ms

[search-api] INFO error rate stable at 0.2%

[autoscaler] current instances 6/6 (max reached)

Recent commits

(none in lookback window)

Similar past incidents

INC177882654715913 · application/P2 · 58d ago — search-api request queue depth climbing under traffic spike

INC17821165852576 · application/P2 · 20d ago — search-api request queue depth climbing under traffic spike

INC178038577873729 · application/P2 · 40d ago — search-api request queue depth climbing under traffic spike

Diagnosis Agent

ran in parallel

The search-api service is experiencing a traffic spike that exceeds its current capacity, and it cannot scale out further because the autoscaler has reached its maximum limit of 6 instances.

[search-api] INFO requests/sec 4200 (baseline 1100)
[search-api] WARN queue depth 3800, p99 latency 2100ms
[autoscaler] current instances 6/6 (max reached)

Assessed: P2 / application

Self-reported confidence: 95% (audit-only — not used by the gate)

gemini-flash-latest · 9308ms

Severity / Routing Agent

ran in parallel

P2 / application

Routed to: search-api-team

The search-api is experiencing significant latency degradation and queue buildup due to a traffic spike that has hit the maximum instance count. While the error rate remains stable, the p99 latency is severely impacted, affecting user experience for a meaningful subset of traffic. This is an application-level scaling issue requiring manual intervention or configuration adjustment to the autoscaling limits.

Self-reported confidence: 95% (audit-only — not used by the gate)

gemini-flash-lite-latest · 1093ms

Scenario Matcher

deterministic, pre-LLM

Traffic spike exceeding capacity

Sustained traffic above provisioned capacity with healthy error rates is resolved by scaling out instances rather than restarting or rolling back.

Match score: 86% · Recommended action: scale_up

Matched tags: traffic spike, capacity, queue depth

Remediate Agent

grounded by runbook match, pre-gate

Proposed action: scale_up

team: search-api-team · reason: Traffic spike exceeding current capacity · message: Scaling up to handle traffic spike · serviceName: search-api · justification: Autoscaler max limit reached; need to increase instance count · targetInstances: 8

The runbook advises scaling out for sustained traffic spikes. The autoscaler is at its configured maximum of 6 instances, preventing automatic scaling. Manually increasing the instance count to 8 (or raising the max limit) will provide the needed capacity to reduce queue depth and latency, directly addressing the root cause.

openai/gpt-oss-120b · 9508ms

Confidence Gate

auto_executed

Computed from 4 measurable signals — not the model's self-reported confidence.

Severity match rate100%

Runbook coverage86%

Data completeness67%

Recency78%

Computed confidence (v1)87%

Auto-execute threshold: 75%

Proposed action: scale_up

#search-api-team — Slack-style FYI notification

in-app simulated

Auto-executed "scale_up" for "search-api request queue depth climbing under traffic spike" — confidence 87% cleared the auto-execute threshold, no human review required. Execution succeeded.

Already executed — nothing to approve or cancel. Posted here purely so the trail isn't audit-log-only.

Verify Agent

runs after execution

Resolved · residual risk: low

Follow-up: notify_oncall

The manual scale-up successfully reduced the queue depth. However, the fact that the autoscaler hit its maximum limit indicates that the current infrastructure configuration is insufficient for peak traffic. Notifying the on-call engineer is necessary to review the autoscaling policies and ensure the maximum instance limit is adjusted to prevent future recurrence.

Self-reported confidence: 95% (audit-only — not used by the gate)

gemini-flash-lite-latest · 881ms