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sync pid-limiting multi-tenancy job
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content/zh-cn/docs/concepts/policy/pid-limiting.md

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@@ -181,7 +181,7 @@ Eviction signal value is calculated periodically and does NOT enforce the limit.
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PID limiting - per Pod and per Node sets the hard limit.
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Once the limit is hit, workload will start experiencing failures when trying to get a new PID.
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It may or may not lead to rescheduling of a Pod,
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depending on how workload reacts on these failures and how liveleness and readiness
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depending on how workload reacts on these failures and how liveness and readiness
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probes are configured for the Pod. However, if limits were set correctly,
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you can guarantee that other Pods workload and system processes will not run out of PIDs
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when one Pod is misbehaving.

content/zh-cn/docs/concepts/security/multi-tenancy.md

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@@ -918,7 +918,7 @@ The two options are discussed in more detail in the following sections.
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<!--
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As previously mentioned, you should consider isolating each workload in its own namespace, even if
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you are using dedicated clusters or virtualized control planes. This ensures that each workload
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only has access to its own resources, such as Config Maps and Secrets, and allows you to tailor
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only has access to its own resources, such as ConfigMaps and Secrets, and allows you to tailor
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dedicated security policies for each workload. In addition, it is a best practice to give each
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namespace names that are unique across your entire fleet (that is, even if they are in separate
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clusters), as this gives you the flexibility to switch between dedicated and shared clusters in

content/zh-cn/docs/concepts/workloads/controllers/job.md

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@@ -1613,7 +1613,7 @@ the Job status, allowing the Pod to be removed by other controllers or users.
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{{< note >}}
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<!--
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See [My pod stays terminating](/docs/tasks/debug-application/debug-pods) if you
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See [My pod stays terminating](/docs/tasks/debug/debug-application/debug-pods/) if you
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observe that pods from a Job are stucked with the tracking finalizer.
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-->
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如果你发现来自 Job 的某些 Pod 因存在负责跟踪的 Finalizer 而无法正常终止,

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