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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