Merge pull request #26030 from tengqm/zh-resync-workloads
[zh] Resync concepts/workloads/_index.mdpull/26027/head
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a773e51b64
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@ -17,8 +17,8 @@ no_list: true
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<!--
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Whether your workload is a single component or several that work together, on Kubernetes you run
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it inside a set of [Pods](/docs/concepts/workloads/pods).
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In Kubernetes, a Pod represents a set of running {{< glossary_tooltip text="containers" term_id="container" >}}
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on your cluster.
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In Kubernetes, a Pod represents a set of running
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{{< glossary_tooltip text="containers" term_id="container" >}} on your cluster.
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A Pod has a defined lifecycle. For example, once a Pod is running in your cluster then
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a critical failure on the {{< glossary_tooltip text="node" term_id="node" >}} where that
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@ -30,10 +30,18 @@ of failure as final: you would need to create a new Pod even if the node later r
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在 Kubernetes 中,Pod 代表的是集群上处于运行状态的一组
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{{< glossary_tooltip text="容器" term_id="container" >}}。
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Pod 有确定的生命周期。例如,一旦某 Pod 在你的集群中运行,Pod 运行所在的
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<!--
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Kubernetes pods have a [defined lifecycle](/docs/concepts/workloads/pods/pod-lifecycle/).
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For example, once a pod is running in your cluster then a critical fault on the
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{{< glossary_tooltip text="node" term_id="node" >}} where that pod is running means that
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all the pods on that node fail. Kubernetes treats that level of failure as final: you
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would need to create a new `Pod` to recover, even if the node later becomes healthy.
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-->
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Kubernetes Pods 有[确定的生命周期](/zh/docs/concepts/workloads/pods/pod-lifecycle/)。
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例如,一旦某 Pod 在你的集群中运行,Pod 运行所在的
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{{< glossary_tooltip text="节点" term_id="node" >}} 出现致命错误时,
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所有该节点上的 Pods 都会失败。Kubernetes 将这类失败视为最终状态:
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即使节点后来恢复正常运行,你也需要创建新的 Pod。
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即使该节点后来恢复正常运行,你也需要创建新的 Pod 来恢复应用。
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<!--
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However, to make life considerably easier, you don't need to manage each Pod directly.
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@ -42,48 +50,78 @@ These resources configure {{< glossary_tooltip term_id="controller" text="contro
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that make sure the right number of the right kind of Pod are running, to match the state
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you specified.
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Those workload resources include:
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Kubernetes provides several built-in workload resources:
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-->
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不过,为了让用户的日子略微好过一些,你并不需要直接管理每个 Pod。
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相反,你可以使用 _负载资源_ 来替你管理一组 Pods。
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这些资源配置 {{< glossary_tooltip term_id="controller" text="控制器" >}}
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来确保合适类型的、处于运行状态的 Pod 个数是正确的,与你所指定的状态相一致。
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这些工作负载资源包括:
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Kubernetes 提供若干种内置的工作负载资源:
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<!--
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* [Deployment](/docs/concepts/workloads/controllers/deployment/) and [ReplicaSet](/docs/concepts/workloads/controllers/replicaset/)
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(replacing the legacy resource {{< glossary_tooltip text="ReplicationController" term_id="replication-controller" >}});
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* [StatefulSet](/docs/concepts/workloads/controllers/statefulset/);
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* [DaemonSet](/docs/concepts/workloads/controllers/daemonset/) for running Pods that provide
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node-local facilities, such as a storage driver or network plugin;
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* [Job](/docs/concepts/workloads/controllers/job/) and
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[CronJob](/docs/concepts/workloads/controllers/cron-jobs/)
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for tasks that run to completion.
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(replacing the legacy resource
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{{< glossary_tooltip text="ReplicationController" term_id="replication-controller" >}}).
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`Deployment` is a good fit for managing a stateless application workload on your cluster,
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where any `Pod` in the `Deployment` is interchangeable and can be replaced if needed.
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* [`StatefulSet`](/docs/concepts/workloads/controllers/statefulset/) lets you
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run one or more related Pods that do track state somehow. For example, if your workload
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records data persistently, you can run a `StatefulSet` that matches each `Pod` with a
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[`PersistentVolume`](/docs/concepts/storage/persistent-volumes/). Your code, running in the
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`Pods` for that `StatefulSet`, can replicate data to other `Pods` in the same `StatefulSet`
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to improve overall resilience.
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-->
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* [Deployment](/zh/docs/concepts/workloads/controllers/deployment/) 和
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[ReplicaSet](/zh/docs/concepts/workloads/controllers/replicaset/)
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(替换原来的资源 {{< glossary_tooltip text="ReplicationController" term_id="replication-controller" >}});
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* [StatefulSet](/zh/docs/concepts/workloads/controllers/statefulset/);
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* 用来运行提供节点本地支撑设施(如存储驱动或网络插件)的 Pods 的
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[DaemonSet](/zh/docs/concepts/workloads/controllers/daemonset/);
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* 用来执行运行到结束为止的
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[Job](/zh/docs/concepts/workloads/controllers/job/) 和
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(替换原来的资源 {{< glossary_tooltip text="ReplicationController" term_id="replication-controller" >}})。
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`Deployment` 很适合用来管理你的集群上的无状态应用,`Deployment` 中的所有
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`Pod` 都是相互等价的,并且在需要的时候被换掉。
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* [StatefulSet](/zh/docs/concepts/workloads/controllers/statefulset/)
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让你能够运行一个或者多个以某种方式跟踪应用状态的 Pods。
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例如,如果你的负载会将数据作持久存储,你可以运行一个 `StatefulSet`,将每个
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`Pod` 与某个 [`PersistentVolume`](/zh/docs/concepts/storage/persistent-volumes/)
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对应起来。你在 `StatefulSet` 中各个 `Pod` 内运行的代码可以将数据复制到同一
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`StatefulSet` 中的其它 `Pod` 中以提高整体的服务可靠性。
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<!--
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* [`DaemonSet`](/docs/concepts/workloads/controllers/daemonset/) defines `Pods` that provide
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node-local facilities. These might be fundamental to the operation of your cluster, such
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as a networking helper tool, or be part of an
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{{< glossary_tooltip text="add-on" term_id="addons" >}}.
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Every time you add a node to your cluster that matches the specification in a `DaemonSet`,
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the control plane schedules a `Pod` for that `DaemonSet` onto the new node.
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* [`Job`](/docs/concepts/workloads/controllers/job/) and
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[`CronJob`](/docs/concepts/workloads/controllers/cron-jobs/)
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define tasks that run to completion and then stop. Jobs represent one-off tasks, whereas
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`CronJobs` recur according to a schedule.
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-->
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* [DaemonSet](/zh/docs/concepts/workloads/controllers/daemonset/)
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定义提供节点本地支撑设施的 `Pods`。这些 Pods 可能对于你的集群的运维是
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非常重要的,例如作为网络链接的辅助工具或者作为网络
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{{< glossary_tooltip text="插件" term_id="addons" >}}
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的一部分等等。每次你向集群中添加一个新节点时,如果该节点与某 `DaemonSet`
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的规约匹配,则控制面会为该 `DaemonSet` 调度一个 `Pod` 到该新节点上运行。
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* [Job](/zh/docs/concepts/workloads/controllers/job/) 和
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[CronJob](/zh/docs/concepts/workloads/controllers/cron-jobs/)。
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定义一些一直运行到结束并停止的任务。`Job` 用来表达的是一次性的任务,而
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`CronJob` 会根据其时间规划反复运行。
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<!--
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There are also two supporting concepts that you might find relevant:
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* [Garbage collection](/docs/concepts/workloads/controllers/garbage-collection/) tidies up objects
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from your cluster after their _owning resource_ has been removed.
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* The [_time-to-live after finished_ controller](/docs/concepts/workloads/controllers/ttlafterfinished/)
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removes Jobs once a defined time has passed since they completed.
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In the wider Kubernetes ecosystem, you can find third-party workload resources that provide
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additional behaviors. Using a
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[custom resource definition](/docs/concepts/extend-kubernetes/api-extension/custom-resources/),
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you can add in a third-party workload resource if you want a specific behavior that's not part
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of Kubernetes' core. For example, if you wanted to run a group of `Pods` for your application but
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stop work unless _all_ the Pods are available (perhaps for some high-throughput distributed task),
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then you can implement or install an extension that does provide that feature.
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-->
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你可能发现还有两种支撑概念很有用:
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* [垃圾收集](/zh/docs/concepts/workloads/controllers/garbage-collection/)机制负责在
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对象的 _属主资源_ 被删除时在集群中清理这些对象。
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* [_结束后存在时间_ 控制器](/zh/docs/concepts/workloads/controllers/ttlafterfinished/)
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会在 Job 结束之后的指定时间间隔之后删除它们。
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在庞大的 Kubernetes 生态系统中,你还可以找到一些提供额外操作的第三方
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工作负载资源。通过使用
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[定制资源定义(CRD)](/zh/docs/concepts/extend-kubernetes/api-extension/custom-resources/),
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你可以添加第三方工作负载资源,以完成原本不是 Kubernetes 核心功能的工作。
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例如,如果你希望运行一组 `Pods`,但要求所有 Pods 都可用时才执行操作
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(比如针对某种高吞吐量的分布式任务),你可以实现一个能够满足这一需求
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的扩展,并将其安装到集群中运行。
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## {{% heading "whatsnext" %}}
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@ -93,7 +131,7 @@ As well as reading about each resource, you can learn about specific tasks that
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* [Run a stateless application using a Deployment](/docs/tasks/run-application/run-stateless-application-deployment/)
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* Run a stateful application either as a [single instance](/docs/tasks/run-application/run-single-instance-stateful-application/)
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or as a [replicated set](/docs/tasks/run-application/run-replicated-stateful-application/)
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* [Run Automated Tasks with a CronJob](/docs/tasks/job/automated-tasks-with-cron-jobs/)
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* [Run Automated Tasks with a `CronJob`](/docs/tasks/job/automated-tasks-with-cron-jobs/)
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-->
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除了阅读了解每类资源外,你还可以了解与这些资源相关的任务:
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@ -101,18 +139,37 @@ As well as reading about each resource, you can learn about specific tasks that
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* 以[单实例](/zh/docs/tasks/run-application/run-single-instance-stateful-application/)
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或者[多副本集合](/zh/docs/tasks/run-application/run-replicated-stateful-application/)
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的形式运行有状态的应用;
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* [使用 CronJob 运行自动化的任务](/zh/docs/tasks/job/automated-tasks-with-cron-jobs/)
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* [使用 `CronJob` 运行自动化的任务](/zh/docs/tasks/job/automated-tasks-with-cron-jobs/)
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<!--
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To learn about Kubernetes' mechanisms for separating code from configuration,
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visit [Configuration](/docs/concepts/configuration/).
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-->
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要了解 Kubernetes 将代码与配置分离的实现机制,可参阅
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[配置部分](/zh/docs/concepts/configuration/)。
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<!--
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There are two supporting concepts that provide backgrounds about how Kubernetes manages pods
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for applications:
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* [Garbage collection](/docs/concepts/workloads/controllers/garbage-collection/) tidies up objects
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from your cluster after their _owning resource_ has been removed.
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* The [_time-to-live after finished_ controller](/docs/concepts/workloads/controllers/ttlafterfinished/)
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removes Jobs once a defined time has passed since they completed.
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-->
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关于 Kubernetes 如何为应用管理 Pods,还有两个支撑概念能够提供相关背景信息:
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* [垃圾收集](/zh/docs/concepts/workloads/controllers/garbage-collection/)机制负责在
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对象的 _属主资源_ 被删除时在集群中清理这些对象。
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* [_Time-to-Live_ 控制器](/zh/docs/concepts/workloads/controllers/ttlafterfinished/)
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会在 Job 结束之后的指定时间间隔之后删除它们。
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<!--
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Once your application is running, you might want to make it available on the internet as
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a [Service](/docs/concepts/services-networking/service/) or, for web application only,
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using an [Ingress](/docs/concepts/services-networking/ingress).
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You can also visit [Configuration](/docs/concepts/configuration/) to learn about Kubernetes'
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mechanisms for separating code from configuration.
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a [`Service`](/docs/concepts/services-networking/service/) or, for web application only,
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using an [`Ingress`](/docs/concepts/services-networking/ingress).
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-->
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一旦你的应用处于运行状态,你就可能想要
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以[服务](/zh/docs/concepts/services-networking/service/)
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使之在互联网上可访问;或者对于 Web 应用而言,使用
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[Ingress](/zh/docs/concepts/services-networking/ingress) 资源将其暴露到互联网上。
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一旦你的应用处于运行状态,你就可能想要以
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[`Service`](/zh/docs/concepts/services-networking/service/)
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的形式使之可在互联网上访问;或者对于 Web 应用而言,使用
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[`Ingress`](/zh/docs/concepts/services-networking/ingress) 资源将其暴露到互联网上。
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