ORIGINAL SYSTEM DESIGN QUESTION
Parcel tracking events
Ingest parcel scans and display a coherent tracking history to customers.
Original exercise · foundation. Editorial role relevance does not imply a company has asked this question.
Requirements and constraints
- Ten million parcels/day; average 15 scans/parcel.
- Scans may arrive out of order or duplicate; delivery corrections are possible.
- State assumptions and justify security, cost, operational ownership and data retention.
Pressure round
A late transit scan arrives after a delivered event.
Build and explain the design
Requirements & scope
Who uses it? What must it do? What is explicitly out of scope? State latency, durability and privacy goals.
Self-review guidance
Define the actors, required operations and out-of-scope behavior. Explicit requirement: Scans may arrive out of order or duplicate; delivery corrections are possible.
Capacity estimates
State assumptions, peak requests/second, data volume and retention. Show your arithmetic and units.
Self-review guidance
Use this workload: Ten million parcels/day; average 15 scans/parcel. Convert rates and payload sizes into peak compute/storage assumptions; show units, headroom and what remains unmeasured.
APIs & data model
Describe endpoints/events, entity keys, indexes, authorization, and idempotency.
Self-review guidance
Define scan provenance, parcel IDs and correction events.
Architecture & data flow
Describe components and request/event paths. Use plain text arrows to sketch your design; explain each responsibility.
Self-review guidance
Separate immutable event ingestion from current-state projections.
Failures & observability
What happens on overload, duplicate events, partial failures or lost dependencies? Discuss monitoring and recovery.
Self-review guidance
Pressure-test: A late transit scan arrives after a delivered event. Describe bounded recovery, deduplication, observability and a user-visible failure state.
Tradeoffs & alternatives
Compare two plausible approaches. State the costs, consistency model and what would make you change the design.
Self-review guidance
Compare event-time sorting with explicit state transitions and customer disclosure.
Design guidance describes assumptions and tradeoffs; no architecture has been simulated or benchmarked.
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