Executive Summary

When a plugin instance’s CPU keeps spiking, the platform must trigger auto-throttling within 30 seconds to keep concurrency under control and prevent tenant-wide impact. This child scenario covers metric collection, policy evaluation, throttle execution, and alert updates, ensuring automated remediation remains auditable and reversible while giving Ops a clear path to release or escalate the action.

Scope & Guardrails

• In Scope: CPU metric aggregation, sliding-window anomaly detection, tenant/plugin throttle policies, traffic gateway throttle APIs, alert state synchronization and audit logging.
• Out of Scope: Adaptive or ML-based threshold training, plugin-defined CPU monitoring inside the runtime, network-level or CDN throttling.
• Environment & Flags: monitoring-service, ops-throttle-automation, alert-gateway-v2; depends on metric agents, policy storage, the traffic gateway, and the alert center.

Participants & Responsibilities

Scope	Repository	Layer	Responsibilities	Owners
core-platform	powerx	service	Metric ingestion, anomaly detection, throttling dispatch, execution state updates	Matrix Ops (Platform Ops Lead / ops@artisan-cloud.com)
ops-tooling	powerx	ops	Policy configuration governance, alert templates, console release & false-positive feedback	Iris Chen (Observability Steward / observability@artisan-cloud.com)

End-to-End Flow

1. Stage 1 – Metric Ingestion: Metric agents push CPU and call-volume samples every 10 seconds into the monitoring service.
2. Stage 2 – Anomaly Decision: The monitoring service uses a sliding window to confirm three consecutive threshold breaches and evaluates tenant policies to decide whether to throttle.
3. Stage 3 – Throttle Execution: The dispatcher calls the traffic gateway to set a new concurrency cap, enforcing idempotency and capturing execution feedback.
4. Stage 4 – Status Broadcast: The alert center switches the incident to “Auto Remediation” and shares the rationale, recommendations, and next steps with Ops and plugin owners.
5. Stage 5 – Recovery or Escalation: Once CPU recovers, the policy automatically lifts the throttle; failed or false-positive actions can be released manually and escalated.

Key Interactions & Contracts

• APIs / Events: STREAM monitoring.cpu.sampled, GET /internal/monitoring/policy/throttle, PATCH /internal/gateway/throttle, EVENT monitoring.alert.updated.
• Configs / Schemas: config/monitoring/thresholds.yaml, docs/standards/powerx/backend/integration/06_gateway/EventBus_and_Message_Fabric.md.
• Security / Compliance: Throttle actions must include tenant metadata and write to audit logs; policy changes require dual approval; alerts follow RBAC rules.

Usecase Links

• UC-OPS-MONITORING-THROTTLE-001 — CPU anomaly auto-throttling.

Acceptance Criteria

1. Throttling starts within 30 seconds after a CPU breach is confirmed; execution latency ≤ 30 seconds; success rate ≥ 95%.
2. Throttle actions are recorded in audit trails and synchronized to the alert center so Ops can review reasons and releases.
3. Failed throttles trigger a secondary alert and escalate to P1, with a manual rollback path available.

Telemetry & Ops

• Metrics: monitoring.throttle.trigger_total, monitoring.throttle.success_total, monitoring.throttle.failure_total, monitoring.throttle.mttr.
• Alert thresholds: Throttle failure rate >5% within 5 minutes raises P1; >3 false-positive feedback items per day trigger governance review.
• Observability sources: Grafana “Runtime Ops / Auto Throttle”, alert center throttle board, audit logs.

Open Issues & Follow-ups

Risk / Item	Impact	Owner	ETA
Threshold sensitivity requires A/B tuning	False positives cause business jitter	Matrix Ops	2025-11-12
Traffic gateway throttling API lacks load testing	Peak-hour latency may exceed budget	Iris Chen	2025-11-18

Appendix

• docs/meta/scenarios/powerx/core-platform/runtime-ops/system-monitoring-and-alerting/primary.md
• docs/usecases-seeds/SCN-OPS-SYSTEM-MONITORING-001/UC-OPS-MONITORING-THROTTLE-001.md