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Calculate Voluntary Pod Disruptions Allowed by Availability

Subtract required availability and existing unhealthy replicas before maintenance.

pods
%
pods

Additional voluntary disruptions allowed

Inputs modeled

3

10% more first input

Processing

Browser only

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How the calculation works

Observed inputsYour own periodTransparent formulaEditable assumptionsDecision outputAdditional voluntary disruptions allowedCompare like-for-like periods before acting on the result.

How to Use This Tool

Subtract required availability and existing unhealthy replicas before maintenance. Draining a node can stall or reduce availability when existing unhealthy replicas have already consumed the disruption margin.

Why Pod Disruption Capacity needs more than a raw total

Percentage minimum availability rounds to a whole pod, and eviction behavior depends on the live PDB plus controller state. For this page, the useful comparison is additional voluntary disruptions allowed, not whichever input happens to be largest. The Pod Disruption Capacity result answers the decision in the heading and should not be reused as a score for a different workflow.

Entered Desired application replicasSame input plus 10%compare
Pod Disruption Capacity changes desired application replicas alone for the secondary result, leaving every other entered value fixed.

The exact Pod Disruption Capacity formula

Allowed voluntary disruptions equal desired replicas − ceil(desired × minimum available) − unhealthy replicas, floored at zero. The visible fields are Desired application replicas, Minimum available and Currently unhealthy replicas. For Pod Disruption Capacity, read each printed unit before entry and make the values describe one transaction, cohort or reporting window. If those scopes differ, the displayed additional voluntary disruptions allowed may be arithmetically valid but operationally meaningless.

Interpreting additional voluntary disruptions allowed

Delay maintenance when the result is zero and verify the actual disruptionsAllowed field before evicting workloads. The ten-percent comparison is deliberately narrow: it tests the influence of desired application replicas 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 Pod Disruption Capacity supported the choice.

What this Pod Disruption Capacity model leaves out

Multiple overlapping PDBs, surge replicas, involuntary failures, readiness delay and provider drain behavior are excluded. That is where Pod Disruption Capacity stops being trustworthy. If an excluded factor could reverse additional voluntary disruptions allowed, 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 Pod Disruption Capacity is Kubernetes — Specifying a PodDisruptionBudget. Kubernetes — Specifying a PodDisruptionBudget supports the named definition or rule but does not supply private values for additional voluntary disruptions allowed. Before acting on the result, reconcile the worked example with the relevant dashboard, invoice, export or measurement.

Private, reproducible calculation

Pod Disruption Capacity runs its arithmetic in the current browser tab and requests no login or API key. That keeps the Pod Disruption Capacity 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 Kubernetes — Specifying a PodDisruptionBudget and rerun the saved Pod Disruption Capacity scenario.

Sources & assumptions

Tool Spec v2 · verified 2026-08-22. Platform rules and fees can change; the editable inputs remain authoritative for your account.

Official references

Model assumptions

  • Every input covers the same reporting period or cohort.
  • Multiple overlapping PDBs, surge replicas, involuntary failures, readiness delay and provider drain behavior are excluded.
  • The calculator uses only the visible fields and does not fetch account data.
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Frequently Asked Questions

What exactly does Pod Disruption Capacity return?
Pod Disruption Capacity returns additional voluntary disruptions allowed from the displayed formula: Allowed voluntary disruptions equal desired replicas − ceil(desired × minimum available) − unhealthy replicas, floored at zero. No hidden account field participates in this result.
Which input should I verify first for Pod Disruption Capacity?
Start Pod Disruption Capacity with Desired application replicas. Draining a node can stall or reduce availability when existing unhealthy replicas have already consumed the disruption margin. Confirm the remaining Pod Disruption Capacity fields use the same scope and reporting window.
What does the Desired application replicas sensitivity result mean?
It raises desired application replicas by ten percent while holding the other fields fixed. Delay maintenance when the result is zero and verify the actual disruptionsAllowed field before evicting workloads. It is not a probability or forecast.
When should I reject the Pod Disruption Capacity result?
Reject or extend the model when this limitation matters: Multiple overlapping PDBs, surge replicas, involuntary failures, readiness delay and provider drain behavior are excluded.
Which evidence was reviewed for Pod Disruption Capacity?
Pod Disruption Capacity cites Kubernetes — Specifying a PodDisruptionBudget for the current definition; use your own source system for the account-specific values behind additional voluntary disruptions allowed.
Where does Pod Disruption Capacity process my inputs?
The calculation for additional voluntary disruptions allowed runs in browser JavaScript and requests no account credential or calculation API.

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