34. Delay Queue Scheduler
Millions of future actions — reminders, retries, expiries — must fire near their due time. Scanning everything every minute does not scale, and an in-process timer dies with the process.
The brief
Delay Queue Scheduler. Millions of future actions — reminders, retries, expiries — must fire near their due time. Scanning everything every minute does not scale, and an in-process timer dies with the process. Work from the scoping questions below. State assumptions for any unspecified load, guarantee or target, then trace your design end to end. Explain one difficult case and a credible alternative; the worked example is a reference, not a required implementation.
- Set the scope: Which actions run later and who chooses their due times? How late may a scheduled action run?
- Define the contract: Can an action be canceled or rescheduled after acceptance? What happens if a worker fails during execution?
- Test the boundaries: How many actions become due together, and how is recovery paced?
Constraints
- Explicit scope and guarantees
- Resolve the scoping questions for Delay Queue Scheduler. Separate stated behavior from assumptions, and identify what is outside your design.
- Supported operating targets
- Declare relevant volume, latency, freshness, quality or cost targets with units. Show calculations or an evaluation plan that can test them; unspecified targets are your assumptions, not hidden pass criteria.
- Failure and boundary behavior
- Explain how your guarantees hold in a difficult case relevant to this subject. Address: What happens if a worker fails during execution? How many actions become due together, and how is recovery paced?
What to cover
- 01
Scope and behavior contract
Identify users, required behavior and exclusions. Answer: Which actions run later and who chooses their due times? How late may a scheduled action run?
- 02
State and interfaces
Define the information owned by the system and the inputs, outputs and errors at its boundaries. Resolve: Can an action be canceled or rescheduled after acceptance? What happens if a worker fails during execution?
- 03
Capacity and operating targets
Estimate the dominant workload and resource demand with units and explicit assumptions. For a learned system, also state how quality is measured and what data is available.
- 04
Architecture and central flow
Draw or describe the responsibilities needed for Delay Queue Scheduler. Trace a representative request, event or job from its input to a visible result; identify durable state owners.
- 05
Failure and boundary walkthrough
Walk through a difficult case step by step, including detection and recovery. Consider: How many actions become due together, and how is recovery paced?
- 06
Tradeoffs and operations
Compare a credible alternative using your chosen workload and guarantees. Explain a remaining risk, a signal to watch and when you would change the design.
Worked designs
Explore the architecture and decisions, then build on an example with Coach.
Review rubric
AI feedback uses these criteria. Scores are practice feedback.
Scope and contracts
The scoping questions have explicit, consistent answers.
End-to-end design
State ownership and the central flow satisfy the chosen scope.
Operating evidence
Calculations or evaluations support the declared targets.
Boundaries and tradeoffs
A difficult case and an alternative are traced concretely.
Discussion
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