How to Use This Tool
Translate a retained sampling percentage into monthly storage avoided. Uniformly retaining every repetitive success log can crowd out budget for rare failures and longer retention.
Why Log Sampling Savings needs more than a raw total
Sampling should be event-aware because rare errors must not be discarded at the same rate as high-volume successes. For this page, the useful comparison is estimated storage cost avoided, not whichever input happens to be largest. The Log Sampling Savings result answers the decision in the heading and should not be reused as a score for a different workflow.
The exact Log Sampling Savings formula
Savings equal daily GB × discarded share × retention days × storage price. The visible fields are Raw logs per day, Logs retained, Retention period and Storage price. For Log Sampling Savings, read each printed unit before entry and make the values describe one transaction, cohort or reporting window. If those scopes differ, the displayed estimated storage cost avoided may be arithmetically valid but operationally meaningless.
Interpreting estimated storage cost avoided
Apply the estimate only after defining always-keep classes and validating diagnostic coverage. The ten-percent comparison is deliberately narrow: it tests the influence of raw logs per day and is neither a forecast nor a confidence interval. Preserve the values used, their dates and the resulting decision so a later reviewer can reproduce why Log Sampling Savings supported the choice.
What this Log Sampling Savings model leaves out
Indexing, query, transfer, compression and minimum billing are excluded. That is where Log Sampling Savings stops being trustworthy. If an excluded factor could reverse estimated storage cost avoided, extend the model explicitly or use the authoritative account system instead of hiding the factor inside an unexplained adjustment.
Evidence and independent verification
The reference reviewed for Log Sampling Savings is OpenTelemetry — Sampling. OpenTelemetry — Sampling supports the named definition or rule but does not supply private values for estimated storage cost avoided. Before acting on the result, reconcile the worked example with the relevant dashboard, invoice, export or measurement.
Private, reproducible calculation
Log Sampling Savings runs its arithmetic in the current browser tab and requests no login or API key. That keeps the Log Sampling Savings inputs away from the site's calculation server, while leaving the user responsible for detecting stale data or a changed platform rule. When an assumption changes, reopen OpenTelemetry — Sampling and rerun the saved Log Sampling Savings scenario.
Sources & assumptions
Tool Spec v2 · verified 2026-08-20. Platform rules and fees can change; the editable inputs remain authoritative for your account.
Official references
- OpenTelemetry — Sampling (checked 2026-08-20)
Model assumptions
- Every input covers the same reporting period or cohort.
- Indexing, query, transfer, compression and minimum billing are excluded.
- The calculator uses only the visible fields and does not fetch account data.
