Emergency Capacity Reservation Decision
A major demand event is approaching, and the window to lock in reserved (committed, non-refundable) capacity at guaranteed pricing is closing. The demand forecast is genuinely uncertain — it comes as a band (p50/p90/p99), not a single number — and the business depends on deciding how much capacity to reserve, and where, before the deadline passes. Five business invariants govern every decision: (1) Critical-Tier workload must have enough protected capacity under the authored demand band; (2) Optional-Tier workload may use on-demand capacity or be degraded — it is never required to be fully protected; (3) every reservation has real, non-refundable cost whether or not the event's actual demand ever uses it; (4) reserved capacity must stay distributed across regions inside this business's resilience policy — concentrating it in one region creates a hidden risk even when the aggregate total looks adequate; (5) the forecast's own stated uncertainty must be treated explicitly in the plan, never collapsed to a single expected-case number. Decide how much capacity to reserve in each region, whether to enable a bounded on-demand fallback for anything reserved capacity doesn't cover, whether to deliberately shed Optional-Tier workload under pressure to protect Critical-Tier capacity, which percentile of the forecast band the plan is actually sized against, and — critically — whether locking in the maximum possible reservation everywhere is genuinely the safest choice, or a trap that pays for protection the forecast's own worst case will never need.
- Difficulty
- Principal
- Expected Time
- ~25 min
- Category
- Infrastructure & Capacity
Skills
- Deciding under genuine forecast uncertainty rather than waiting for certainty that will never arrive
- Recognizing that an aggregate-adequate reservation can still hide a single-region concentration risk
- Distinguishing a deliberate, bounded degraded mode from an accidental one
- Treating deadline risk and non-refundable cost as real constraints on a proactive decision
System Architecture
- Demand Forecasting
- Capacity Planner
- Region A
- Region B
- Region C
- Reserved Capacity
- On-Demand Capacity
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