An even redistribution is a model rather than a capacity test
A fictional cluster has eight equal-capacity nodes and serves twenty-four thousand requests per minute under a supplied even-distribution model. Two nodes become unavailable, and the exercise assumes the same total demand is distributed evenly among the remaining six. A colleague computes the new average and then claims that the application will definitely remain within its latency objective. The supplied record contains no tested per-node service limit, resource contention or failure-mode latency measurement. This written case changes no cluster or traffic. It asks the learner to perform the bounded arithmetic while distinguishing the computed workload average from an unsupported claim of sufficient actual capacity and service performance.
1. What average follows from the model?
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24000requests per minute divided by6nodes gives4000requests per minute per remaining node, under the stated equal-distribution assumption.
2. Why does that not prove the latency objective?
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No actual sustainable per-node capacity, queueing, dependency or latency evidence was supplied. A valid arithmetic load does not establish performance or resilience of a real deployment.