Historical Data Retention: How Long Should Your System Actually Keep Records
Storing everything forever isn't free, and deleting too soon can lose data you need later. Here's how retention periods are actually decided.
Why retention isn't a default setting to ignore
Storage isn't free at scale, and keeping every raw sensor reading indefinitely, at full resolution, adds cost with diminishing value the further back the data goes — most decisions don't actually need minute-by-minute data from two years ago. But deleting too aggressively can mean losing exactly the historical comparison a benchmarking or compliance report needs.
How a sensible retention policy is actually structured
A common pattern is high-resolution data kept for a shorter recent period (weeks or months, for detailed troubleshooting) with data aggregated into summarised form (daily or monthly averages) for longer-term storage — keeping the trend history available for years without the storage cost of full-resolution data going back that far.
What determines the right retention period
Regulatory or compliance requirements (some certifications and audits require a minimum retention period) are the floor, not the ceiling — beyond that, retention should be set based on how far back comparisons and reports genuinely need to look, which is a conversation worth having explicitly rather than defaulting to a platform's generic setting.
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