Executive Summary

When task execution fails, the platform needs to automatically enter a delayed queue for retry, and escalate to dead letter and manual compensation after reaching threshold. This sub-scenario defines retry strategies, backoff algorithms, dead letter governance, and Runbook compensation processes, ensuring critical tasks can recover under exceptional circumstances with full audit traceability.

Scope & Guardrails

• In Scope: Delayed queue enqueue/dequeue, retry strategies, backoff algorithms, dead letter queues, ticket escalation, Runbook compensation, audit and alerts.
• Out of Scope: Cross-repository data repair, payment fund compensation, infrastructure disaster recovery.
• Environment & Flags: task-retry-queue, dlq-inspector, audit-streaming; depends on Redis/Kafka, Ops ticketing system, PagerDuty/Slack notifications.

Participants & Responsibilities

Scope	Repository	Layer	Responsibility & Deliverables	Owners
core-platform	powerx	ops	Delayed queues, retry strategies, dead letter handling, metrics collection	Matrix Ops (Platform Ops Lead / ops@artisan-cloud.com)
automation	powerx	ops	Runbooks, ticketing integration, alert configuration, queue inspection scripts	Eva Zhang (Automation Steward / automation@artisan-cloud.com)

End-to-End Flow

1. Stage 1 – Failure Enqueue: Task failure event triggers retry strategy, writes to delayed queue and records idempotent token.
2. Stage 2 – Delayed Retry: Re-execute task after expiration, close alerts and update status on success.
3. Stage 3 – Dead Letter Escalation: After multiple failures, task enters dead letter queue, automatically creates ticket and triggers PagerDuty.
4. Stage 4 – Manual Compensation & Wrap-up: Ops executes compensation according to Runbook, records results and syncs audit and metrics.

Key Interactions & Contracts

• APIs / Events: EVENT task.execution.failed, EVENT task.retry.scheduled, POST /internal/tasks/retry, POST /ops/workorders.
• Configs / Schemas: config/tasks/retry-policies.yaml, docs/standards/ops/task-retry-governance.md, docs/standards/events/retry-status-schema.md.
• Security / Compliance: Retry idempotent token validation, ticket approval, audit records, prevent duplicate execution and privilege escalation.

Usecase Links

• UC-OPS-RETRY-RECOVERY-001 — Delayed queue retry and compensation loop.

Acceptance Criteria

1. Automatic retry success rate ≥90%, retry latency meets SLA (default 2-minute backoff).
2. Dead letter escalation creates tickets and notifies on-call within 5 minutes, manual compensation completion rate ≥95%.
3. Ops console provides real-time view of retry queue, dead letter queue, compensation status, supports one-click replay and strategy adjustment.

Telemetry & Ops

• Metrics: task.retry.scheduled_total, task.retry.success_total, task.retry.failure_total, task.retry.dlq_total, task.retry.escalated_total.
• Alert Thresholds: Retry failure rate >15%/10 minutes, dead letter queue length exceeds threshold, ticket creation failure.
• Observability Sources: Grafana Runtime Ops / Retry & Recovery, Datadog task.retry.*, Ops console compensation panel, scripts/ops/retry-inspect.mjs.

Open Issues & Follow-ups

Risk/Issue	Impact Scope	Owner	ETA
Dead letter backlog cleanup process not automated	Ticket backlog and compensation delays	Matrix Ops	2025-11-07
Retry strategy not integrated with business SLA	Recovery actions may be too late	Eva Zhang	2025-11-14

Appendix

• docs/meta/scenarios/powerx/core-platform/runtime-ops/event-and-taskflow-management/primary.md
• scripts/ops/retry-inspect.mjs, scripts/ops/recovery-runbook.mjs
• Retry Governance Runbook (Confluence: Runtime-Ops-Retry-Recovery)