Log Retention Storage Cost Calculator

A practical retention policy (by log class)

• Access/ingress logs: 7-14 days hot retention (high volume, mostly operational value).
• Application logs: 14-30 days (enough for incident timelines).
• Audit/security logs: 90-365 days (compliance-driven; keep volume controlled).

If you need long-term retention, consider moving cold logs to cheaper storage and keeping only a small hot window indexed/searchable.

Retained log storage is a policy problem before it is a pure GB problem

Log retention bills grow because teams keep too much of the wrong data hot for too long. The useful lens here is not one blended logging average, but which sources deserve short hot windows, which need long audit retention, and how much daily volume each source contributes to the stored total.

• GB/day by source: the only reliable way to see which log classes are driving retained storage.
• Retention policy: the operational rule that multiplies daily volume into a stored dataset.
• Hot vs cold intent: whether the data really needs to stay searchable or only preserved.
• Billing definition: whether stored size, compressed size, or another vendor-specific basis is used.

Where retained-log estimates usually drift

• One blended GB/day number hides the handful of noisy sources that really control retained storage.
• Default retention settings drift longer over time and nobody re-checks them after the system is stable.
• Audit and application logs are kept on the same hot policy even though their operational value is different.
• Incident months create verbose logging that quietly changes the steady-state storage baseline.

What to review before trusting the retention baseline

• Split access, application, and audit logs so each class gets an intentional retention window.
• Check top-volume sources directly instead of budgeting from one average ingestion number.
• Review whether long-term needs belong in colder storage rather than in the hot searchable tier.
• Confirm what the vendor bills as stored GB before translating GB/day into a dollar baseline.

Baseline vs verbose-incident retention scenarios

How to review the first real retention month

• Validate measured GB/day on the top noisy sources instead of only checking a blended dashboard average.
• Review actual retention settings per table, source, or log group because defaults often drift quietly.
• Check whether the miss came from policy length, noisy-source growth, or billing-basis differences before changing the whole model.