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After a deploy the cache is empty and every request misses. Design a warming path that keeps origin load bounded, then explain how readers stay correct when warming dies halfway. This independent, original scenario is designed for ML / Inference Systems, Software / Infrastructure preparation. Work through the stages in order, explain each decision, and use the review dimensions to test whether the result remains defensible when constraints change.
Design a warming path that keeps origin load bounded while serving real traffic.
Can you bound concurrency and still make progress?A warming job dies halfway. Explain how readers stay correct and how warming resumes.
Can you separate correctness from performance?Use these checks after a first draft. They are review prompts, not six more questions to answer.
Clarifies goals, constraints, and ambiguous requirements.
Protects invariants and handles boundary conditions.
Identifies realistic failures and designs recovery paths.
Makes ownership and transitions explicit.
Provides enough visibility to diagnose and run the system.
Explains what is gained, lost, and intentionally deferred.
Use a different system, project, or situation and check whether the structure still produces a specific, defensible answer.