Metrics, traces, and IoT data are append-heavy, time-ordered, and rarely updated. A general database handles this badly. The wins come from columnar layout, compression tuned for timestamps, downsampling, and retention. Here is the time-series design interviewers want.
Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.
Metrics, traces, and IoT data are append-heavy, time-ordered, and rarely updated. A general database handles this badly. The wins come from columnar layout, compression tuned for timestamps, downsampling, and retention. Here is the time-series design interviewers want.
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