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Ordered readiness can protect sequencing while also preventing automatic progress past a bad revision.

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Source facts

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Kubernetes StatefulSets use stable Pod identities and support ordered rollout behavior. With the default OrderedReady management policy, a rolling update can enter a broken state requiring manual intervention. The documentation explains that reverting a bad Pod template may also require deleting Pods already attempted with that configuration before the rollout can proceed normally.

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Source: Kubernetes documentation — StatefulSets.

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Applicability

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Review recovery from a StatefulSet rolling update that stops at a Pod which never becomes Running and Ready.

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DSE recommendation

\n

DSE recommends writing the recovery sequence before updating a stateful service. Identify the ordinal being changed, the data-compatibility boundary, the accepted predecessor configuration, and the application health signal that allows the next step. A readiness failure should trigger investigation rather than pressure to bypass ordered safety controls. Keep a clear distinction between replacing a Pod and destroying a claim. Have the service owner review any rollback that could encounter data written by the newer application version.

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Verification

\n

On a disposable StatefulSet, observe an intentionally unready revision and the effect of reverting the template. Follow the documented recovery sequence, inspect Pod revisions and readiness, and verify application data through its supported checks. Record the exact intervention required for the installed configuration. Retain the bad and reverted template revisions and the affected ordinal list. Require explicit approval for each intervention in the exercise, and keep persistent-data disposition outside a Pod-replacement instruction.

\n

Official reference

\n

Kubernetes documentation — StatefulSets. Reviewed October 20, 2026.

", "content_text": "Ordered readiness can protect sequencing while also preventing automatic progress past a bad revision.\nSource facts\nKubernetes StatefulSets use stable Pod identities and support ordered rollout behavior. With the default OrderedReady management policy, a rolling update can enter a broken state requiring manual intervention. The documentation explains that reverting a bad Pod template may also require deleting Pods already attempted with that configuration before the rollout can proceed normally.\nSource: Kubernetes documentation — StatefulSets.\nApplicability\nReview recovery from a StatefulSet rolling update that stops at a Pod which never becomes Running and Ready.\nDSE recommendation\nDSE recommends writing the recovery sequence before updating a stateful service. Identify the ordinal being changed, the data-compatibility boundary, the accepted predecessor configuration, and the application health signal that allows the next step. A readiness failure should trigger investigation rather than pressure to bypass ordered safety controls. Keep a clear distinction between replacing a Pod and destroying a claim. Have the service owner review any rollback that could encounter data written by the newer application version.\nVerification\nOn a disposable StatefulSet, observe an intentionally unready revision and the effect of reverting the template. Follow the documented recovery sequence, inspect Pod revisions and readiness, and verify application data through its supported checks. Record the exact intervention required for the installed configuration. Retain the bad and reverted template revisions and the affected ordinal list. Require explicit approval for each intervention in the exercise, and keep persistent-data disposition outside a Pod-replacement instruction.\nOfficial reference\nKubernetes documentation — StatefulSets. Reviewed October 20, 2026.", "content_markdown": "Ordered readiness can protect sequencing while also preventing automatic progress past a bad revision.\n\n## Source facts\n\nKubernetes StatefulSets use stable Pod identities and support ordered rollout behavior. With the default OrderedReady management policy, a rolling update can enter a broken state requiring manual intervention. The documentation explains that reverting a bad Pod template may also require deleting Pods already attempted with that configuration before the rollout can proceed normally.\n\nSource: [Kubernetes documentation — StatefulSets](https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/).\n\n## Applicability\n\nReview recovery from a StatefulSet rolling update that stops at a Pod which never becomes Running and Ready.\n\n## DSE recommendation\n\nDSE recommends writing the recovery sequence before updating a stateful service. Identify the ordinal being changed, the data-compatibility boundary, the accepted predecessor configuration, and the application health signal that allows the next step. A readiness failure should trigger investigation rather than pressure to bypass ordered safety controls. Keep a clear distinction between replacing a Pod and destroying a claim. Have the service owner review any rollback that could encounter data written by the newer application version.\n\n## Verification\n\nOn a disposable StatefulSet, observe an intentionally unready revision and the effect of reverting the template. Follow the documented recovery sequence, inspect Pod revisions and readiness, and verify application data through its supported checks. Record the exact intervention required for the installed configuration. Retain the bad and reverted template revisions and the affected ordinal list. Require explicit approval for each intervention in the exercise, and keep persistent-data disposition outside a Pod-replacement instruction.\n\n## Official reference\n\n[Kubernetes documentation — StatefulSets](https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/). 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