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Three periodic background jobs ran on every instance with no cross-instance coordination, multiplying their cost (and side effects) by the replica count: - DashboardAggregationService.runScheduledAggregation: N× heavy GROUP BY aggregation queries every minute plus watermark write races. - PaymentOrderExpiryService.runOnce: N× upstream payment-provider reconcile/ expiry API calls per pending order. - SubscriptionExpiryService.sendExpiryReminders: N× full active-subscription scans every minute and potential duplicate reminder emails. Add a LeaderLockCache abstraction so only one instance runs each job per cycle: - The interface lives in the service layer; the Redis-backed implementation (SetNX + compare-and-delete release) lives in the repository layer, so the service package keeps its depguard "must not import redis" boundary intact. - tryAcquireSingletonLeaderLock prefers the cache and falls back to a Postgres advisory lock when Redis errors, mirroring the Ops background services. When neither backend is configured the job runs ungated, preserving single-instance and test behavior (no self-lockout: the lock is released every cycle). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>