ORIGINAL SYSTEM DESIGN QUESTION
Distributed task leases
Coordinate workers so a task has one valid lease holder at a time.
Original exercise · advanced. Editorial role relevance does not imply a company has asked this question.
Requirements and constraints
- 100,000 active tasks; 10,000 lease operations/second.
- Paused or partitioned workers can continue after their lease expires.
- State assumptions and justify security, cost, operational ownership and data retention.
Pressure round
An old worker resumes after a new worker acquired the task.
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: Paused or partitioned workers can continue after their lease expires.
Capacity estimates
State assumptions, peak requests/second, data volume and retention. Show your arithmetic and units.
Self-review guidance
Use this workload: 100,000 active tasks; 10,000 lease operations/second. 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 lease IDs, expiry, ownership checks and monotonic fencing tokens.
Architecture & data flow
Describe components and request/event paths. Use plain text arrows to sketch your design; explain each responsibility.
Self-review guidance
Separate lease authority from the resource that enforces fencing.
Failures & observability
What happens on overload, duplicate events, partial failures or lost dependencies? Discuss monitoring and recovery.
Self-review guidance
Pressure-test: An old worker resumes after a new worker acquired the task. 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 timing assumptions with fencing and resource-side verification.
Design guidance describes assumptions and tradeoffs; no architecture has been simulated or benchmarked.
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