Capacity Estimation

Estimate the scale of the system. Consider daily active users, read/write ratio, storage requirements, bandwidth, and any relevant QPS calculations...

Traffic & workload

Scale: 10 countries × 100 lots = 1,000 lots
Reservations: ~200/day/lot → ~200k reservations/day globally
Peak QPS: 200k / 86,400s ≈ 2–3 rps average; peak hour is ~5–10× → ~20–30 rps on the write path. Search/availability reads are ~10× writes → ~200–300 rps reads. This is small — the interesting part isn't raw QPS, it's the consistency on those writes.
Stay profile: 80% short-term (~4h), 20% long-term (~5 days) — drives turnover: short-term spots cycle ~6×/day, long-term hold spots for days.

Storage

Reservation record: ~128 bytes → ~25.6 MB/day → ~280 GB over 2 years (with growth factor). Trivially fits in one DB node — storage is a non-issue; consistency is the bottleneck.

Submissions

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Submissions

Displaying Solutions with Scores Ranging from 1 to 10