Database / InfluxDb interview questions II

How do you estimate storage growth for a new InfluxDB workload?

Estimate points/sec, field count, tag cardinality, retention duration, and compression assumptions, then validate with load tests.

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For this interview question, which option is the strongest interpretation: How do you estimate storage growth for a new InfluxDB workload? Delete old data first and decide aggregation strategy later.

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Use retention tiers with rollups so cost, speed, and historical insight stay balanced.

✓ Correct! Well done.

Keep all raw high-resolution data forever to avoid downsampling complexity.

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Use one infinite retention policy for every bucket regardless of workload.

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In a real project, which action is most defensible for: How do you estimate storage growth for a new InfluxDB workload? Run ad-hoc manual rollups only when storage alerts become critical.

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Treat retention as a billing concern rather than a query design decision.

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Define lifecycle tiers and automate downsampling tasks with clear SLO checks.

✓ Correct! Well done.

Disable scheduled tasks to prevent accidental data transformation.

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Database / InfluxDb interview questions II

How do you estimate storage growth for a new InfluxDB workload?

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