Parse and Aggregate Time-Series Metrics
Problem
Given a stream of (timestamp, metric, value) points, compute per-metric rollups (sum/avg/p95) over fixed windows.
Example
points -> {metric: {window: p95}}
Constraints
- High volume; bounded memory
What evaluators look for
Discuss complexity and streaming vs buffering.
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